Re: [ANNOUNCE] Open source distributed virtual machine scheduling platform
Hi Rohit, thanks ;) I will answer your questions in line. I did not look at the code but I'm curious on how you're powering off hosts, I think with my out-of-band management PR you can use the oobm subsystem to perform power management operations for IPMI 2.0 enabled hosts. A: when we developed the first version (around October 2015), Apache CloudStack (ACS) did not have support to activate and deactivate hosts, it still does not have; you are working on that for Shapeblue, right? If there was something at that time, it would have been great. Therefore, we had to develop something to allow us to power on/off hosts (that was not our focus, but we needed it). So, we created the simplest solution possible (just to suffice our needs). Our cloud computing environment is created using pretty outdated servers, half of them do not have support for IPMI. Therefore, to shut down hosts, we use the hypervisors API. We noticed that most of the hypervisors have a shutdown command in their APIs; that is why we used it. We could not use many resources (time and energy) on developing that for every hypervisor ACS supports, so we did it only for XenServer to be used as a proof of concept (POC); to add the support to other hypervisors it would be a matter of implementing an interface. Even though we did the “shutdown“ using the hypervisor API, it would be nice to have it also through the IPMI interface; it is rare, but we have seen servers hung during the shutdown process. Then, to activate (start) servers, we used the wake on LAN (WOL) protocol. We found that to be the easiest way to activate servers on a LAN (there are some requirements to do that, giving that it uses the layer 2 of the OSI model to send the commands). However, once again, our environment did not help much. One of our servers did not support WOL, but gladly it had IPMI support. Therefore, to start servers depending on a flag that we add to the “cloud.host” table we use IPMI or WOL. Did the explanation help? You are welcome to look at the code, we think it is more or less clear and documented. Also curious how you implemented the heuristics and wrote tests (esp. integration ones), some of us had a related discussion about such a feature and we looked at this paper from VMware DRS team: http://www.waldspurger.org/carl/papers/drs-vmtj-mar12.pdf A: well, the heuristics are written in Java; we have an interface with a set of methods that have to be implemented and that can be used by our agents; also, we have a set of basic classes to support the development of new heuristics. We have created only two simple heuristics to be used as a proof of concept of the whole architecture we have created. Our first goal was to formalize and finish the whole architecture; after that, we could work on some more interesting things. Right now we are working on techniques to mix (add) neural or Bayesian networks into our heuristics; we intend to use those techniques to improve our VM mapping algorithms or the ranking of hosts. We have not read the VMware’s paper (we have based our whole proposals solely on academic work until now); I have just glanced at it, and it seems interesting; though I would need much more time and a deeper reading to be able to comment on it. The testing is done in a test environment we have, we isolate and control the variables of the environment and everything that can affect the agents behaviors; then, we start to test every functionalities and the agent behavior. The process of testing for the first release was very manual. However, now that we know the whole framework works. We are covering it with test cases (unit and integration) and then to test a heuristic it would be a matter of writing test cases for it. Even with test cases, every experiment we do or release that is closed, we execute a thorough batch of tests to check if everything is working; sadly, those tests today manually executed. I can say that the fun is going to start now. I find it much more interesting to create methods/heuristics to manage the environment than to create the structure that uses the heuristics. Do you have some other doubts? On Tue, May 3, 2016 at 12:18 PM, Rohit Yadav wrote: > Nice feature :) > > I did not look at the code but I'm curious on how you're powering off > hosts, I think with my out-of-band management PR you can use the oobm > subsystem to perform power management operations for IPMI 2.0 enabled hosts. > > Also curious how you implemented the heuristics and wrote tests (esp. > integration ones), some of us had a related discussion about such a feature > and we looked at this paper from VMware DRS team: > http://www.waldspurger.org/carl/papers/drs-vmtj-mar12.pdf > > Regards, > Rohit Yadav > > > Regards, > > Rohit Yadav > > rohit.ya...@shapeblue.com > www.shapeblue.com > 53 Chandos Place, Covent Garden, London WC2N 4HSUK > @shapeblue > On Apr 27 2016, at 2:29 am, Gabriel Beims Bräscher > wrote: > > Hello CloudStack community members (
Re: [ANNOUNCE] Open source distributed virtual machine scheduling platform
Nice feature :) I did not look at the code but I'm curious on how you're powering off hosts, I think with my out-of-band management PR you can use the oobm subsystem to perform power management operations for IPMI 2.0 enabled hosts. Also curious how you implemented the heuristics and wrote tests (esp. integration ones), some of us had a related discussion about such a feature and we looked at this paper from VMware DRS team: http://www.waldspurger.org/carl/papers/drs-vmtj-mar12.pdf Regards, Rohit Yadav Regards, Rohit Yadav rohit.ya...@shapeblue.com www.shapeblue.com 53 Chandos Place, Covent Garden, London WC2N 4HSUK @shapeblue On Apr 27 2016, at 2:29 am, Gabriel Beims Bräscher wrote: Hello CloudStack community members (@dev and @users), This email is meant to announce the publication of a project on Github that provides a distributed virtual machine scheduling platform that can be easily integrated with Apache CloudStack (ACS). The project is available at [1], you can find a detailed explanation of the idea of the project, its aspirations, basic concepts, installation and uninstallation processes and other information at [2]. Also, if you want to know more about the Autonomiccs and its creators, you can access the link [3]. The code that was opened at Github is part of a bigger system that has the goal of managing a cloud computing environment autonomously. All of that is being developed and used in my Ph. D. thesis and the masters’ thesis of some colleagues. The formalization of that component will be published at the 12th IEEE World Congress on Services (SERVICES 2016) at San Francisco USA. You can see the stats of our code at [4] and [5]. Right now we only have ~40% of code test coverage. However, we intend to increase that value to ~60% until next week and ~90% until the end of June. To give you a picture of what we are preparing for the future, we can highlight the following goals for this year (You can find others short term goals at [6]): - Integrate our platform [1] with a multi-agent system (MAS) platform, in order to facilitate the development of agents. Currently, we are using Spring-integration to “emulate” and an agent life cycle; that can become a problem when needing to add more agents and they start to communicate with each other. Therefore, we will integrate the platform in [1] with JADE [7]; - Today the metrics about the use of resource are not properly gathered by ACS; in order to develop more accurate predictions we need to store resource usage metrics. Also, those metrics have to be gathered in a distributed way without causing service degradation. For that and a few other reasons (you can send us an email so we can provide you more details), we are developing an autonomic monitoring platform that will integrate with the system available in [1]; - We also foresee the need to develop a better way to visualize the cloud environment, a way to detect hot spots (pods and hosts) with higher resource usage trends (VMs trends). We see the need to change the rustic view of the environment with tables for a better suitable one for humans (this is a surprise that we intend to present at the CCCBR). We hope you like the software and that it meets your expectations. If it does not suffice all of your needs, let’s work together to improve it. If you have any doubts or suggestions please send us an email; we will reply it as fast as we can. Also, critics that can help us improve that platform are very welcome. [1] https://github.com/Autonomiccs/autonomiccs-platform [2] https://github.com/Autonomiccs/autonomiccs-platform/wiki [3] http://autonomiccs.com.br/ [4] http://jenkins.autonomiccs.com.br/ [5] http://sonar.autonomiccs.com.br/ [6] https://github.com/Autonomiccs/autonomiccs-platform#project-evolution [7] http://jade.tilab.com/ Cheers, Gabriel.
Re: [ANNOUNCE] Open source distributed virtual machine scheduling platform
Hi all, Thanks for your cheers, it means a lot for us. Anshul, thanks for asking. We are very excited about the project, our plan is to add new algorithms. Also, We foresee the need to use/add other types of agents. All of that is going to be done as our research goes forward. That is great that you have already worked on this. You probably understand how hard it is to work alone in a project like this. Gladly, we are not alone on this boat. Today our whole system is based on symbolic artificial intelligence, our heuristics are based on specialist knowledge. But, as you pointed out the use of machine learning (connectionist artificial intelligence) is pretty interesting for some problems. And yes, we intend to use some neural/Bayesian Network techniques to help us improve our heuristics. Again, that is something that will be done as our research and project go forward. Cheers, Gabriel. 2016-04-27 3:27 GMT-03:00 Anshul Gangwar : > Hi Gabriel, > > Project looks promising. > > I was curious to know whether you guys are planning to add new algorithms > or use the existing algorithms. > > P.S. I was working on same problem for my master’s thesis some 5 years > back. My main intention was to utilise the machine learning based > approaches to solve the problem. > > > > > On 27/04/16, 2:29 AM, "Gabriel Beims Bräscher" > wrote: > > >Hello CloudStack community members (@dev and @users), > > > >This email is meant to announce the publication of a project on Github > that > >provides a distributed virtual machine scheduling platform that can be > >easily integrated with Apache CloudStack (ACS). The project is available > at > >[1], you can find a detailed explanation of the idea of the project, its > >aspirations, basic concepts, installation and uninstallation processes and > >other information at [2]. Also, if you want to know more about the > >Autonomiccs and its creators, you can access the link [3]. > > > >The code that was opened at Github is part of a bigger system that has the > >goal of managing a cloud computing environment autonomously. All of that > is > >being developed and used in my Ph. D. thesis and the masters’ thesis of > >some colleagues. The formalization of that component will be published at > >the 12th IEEE World Congress on Services (SERVICES 2016) at San Francisco > >USA. > > > >You can see the stats of our code at [4] and [5]. Right now we only have > >~40% of code test coverage. However, we intend to increase that value to > >~60% until next week and ~90% until the end of June. > > > >To give you a picture of what we are preparing for the future, we can > >highlight the following goals for this year (You can find others short > term > >goals at [6]): > > > > - > > > > Integrate our platform [1] with a multi-agent system (MAS) platform, in > > order to facilitate the development of agents. Currently, we are using > > Spring-integration to “emulate” and an agent life cycle; that can > become a > > problem when needing to add more agents and they start to communicate > with > > each other. Therefore, we will integrate the platform in [1] with JADE > [7]; > > - > > > > Today the metrics about the use of resource are not properly gathered > by > > ACS; in order to develop more accurate predictions we need to store > > resource usage metrics. Also, those metrics have to be gathered in a > > distributed way without causing service degradation. For that and a few > > other reasons (you can send us an email so we can provide you more > > details), we are developing an autonomic monitoring platform that will > > integrate with the system available in [1]; > > - > > > > We also foresee the need to develop a better way to visualize the cloud > > environment, a way to detect hot spots (pods and hosts) with higher > > resource usage trends (VMs trends). We see the need to change the > rustic > > view of the environment with tables for a better suitable one for > humans > > (this is a surprise that we intend to present at the CCCBR). > > > >We hope you like the software and that it meets your expectations. If it > >does not suffice all of your needs, let’s work together to improve it. If > >you have any doubts or suggestions please send us an email; we will reply > >it as fast as we can. Also, critics that can help us improve that platform > >are very welcome. > > > >[1] https://github.com/Autonomiccs/autonomiccs-platform > > > >[2] https://github.com/Autonomiccs/autonomiccs-platform/wiki > > > >[3] http://autonomiccs.com.br/ > > > >[4] http://jenkins.autonomiccs.com.br/ > > > >[5] http://sonar.autonomiccs.com.br/ > > > >[6] https://github.com/Autonomiccs/autonomiccs-platform#project-evolution > > > >[7] http://jade.tilab.com/ > > > > > >Cheers, Gabriel. > > > > DISCLAIMER > == > This e-mail may contain privileged and confidential information which is > the property of Accelerite, a Persistent Systems business. It is intended > only for the use of the i
RE: [ANNOUNCE] Open source distributed virtual machine scheduling platform
Rafael This is very exciting to see, congrats in getting your project out of the gate Kind Regards Giles Regards, Giles Sirett giles.sir...@shapeblue.com www.shapeblue.com 53 Chandos Place, Covent Garden, London WC2N 4HSUK @shapeblue -Original Message- From: Rafael Weingärtner [mailto:rafaelweingart...@gmail.com] Sent: 27 April 2016 02:59 To: us...@cloudstack.apache.org; dev@cloudstack.apache.org Subject: Re: [ANNOUNCE] Open source distributed virtual machine scheduling platform Thank you guys for the cheers. That is a very warm welcome for our little project ;) You bet we will keep the hard work. There is much (really much) more to work on, with this project we will have at least 2 masters’ thesis and 3 Ph.D. thesis; that is something to keep us busy for the next 5+ years only in research and development (RD). We hope you guys test the Autonomiccs platform and may even use it in your production environments. If any of you want to chat in person, I will be at the ApacheCon NA (Thanks for the ASF funding) that will be happening between May 09-11 in Vancouver and at the SERVICES conference that will be happening between June 27 and July 02 in San Francisco. On Tue, Apr 26, 2016 at 10:28 PM, Ahmad Emneina wrote: > This looks really cool and promising! Keep up the great work. > > On Tue, Apr 26, 2016 at 1:59 PM, Gabriel Beims Bräscher < > gabrasc...@gmail.com> wrote: > > > Hello CloudStack community members (@dev and @users), > > > > This email is meant to announce the publication of a project on > > Github > that > > provides a distributed virtual machine scheduling platform that can > > be easily integrated with Apache CloudStack (ACS). The project is > > available > at > > [1], you can find a detailed explanation of the idea of the project, > > its aspirations, basic concepts, installation and uninstallation > > processes > and > > other information at [2]. Also, if you want to know more about the > > Autonomiccs and its creators, you can access the link [3]. > > > > The code that was opened at Github is part of a bigger system that > > has > the > > goal of managing a cloud computing environment autonomously. All of > > that > is > > being developed and used in my Ph. D. thesis and the masters’ thesis > > of some colleagues. The formalization of that component will be > > published at the 12th IEEE World Congress on Services (SERVICES > > 2016) at San Francisco USA. > > > > You can see the stats of our code at [4] and [5]. Right now we only > > have ~40% of code test coverage. However, we intend to increase that > > value to ~60% until next week and ~90% until the end of June. > > > > To give you a picture of what we are preparing for the future, we > > can highlight the following goals for this year (You can find others > > short > term > > goals at [6]): > > > >- > > > >Integrate our platform [1] with a multi-agent system (MAS) > > platform, > in > >order to facilitate the development of agents. Currently, we are using > >Spring-integration to “emulate” and an agent life cycle; that can > > become a > >problem when needing to add more agents and they start to > > communicate with > >each other. Therefore, we will integrate the platform in [1] with > > JADE [7]; > >- > > > >Today the metrics about the use of resource are not properly > > gathered > by > >ACS; in order to develop more accurate predictions we need to store > >resource usage metrics. Also, those metrics have to be gathered in a > >distributed way without causing service degradation. For that and > > a > few > >other reasons (you can send us an email so we can provide you more > >details), we are developing an autonomic monitoring platform that will > >integrate with the system available in [1]; > >- > > > >We also foresee the need to develop a better way to visualize the > cloud > >environment, a way to detect hot spots (pods and hosts) with higher > >resource usage trends (VMs trends). We see the need to change the > rustic > >view of the environment with tables for a better suitable one for > humans > >(this is a surprise that we intend to present at the CCCBR). > > > > We hope you like the software and that it meets your expectations. > > If it does not suffice all of your needs, let’s work together to > > improve it. If you have any doubts or suggestions please send us an > > email; we will reply it as fast as we can. Also, critics that can > > he
Re: [ANNOUNCE] Open source distributed virtual machine scheduling platform
Hi Gabriel, Project looks promising. I was curious to know whether you guys are planning to add new algorithms or use the existing algorithms. P.S. I was working on same problem for my master’s thesis some 5 years back. My main intention was to utilise the machine learning based approaches to solve the problem. On 27/04/16, 2:29 AM, "Gabriel Beims Bräscher" wrote: >Hello CloudStack community members (@dev and @users), > >This email is meant to announce the publication of a project on Github that >provides a distributed virtual machine scheduling platform that can be >easily integrated with Apache CloudStack (ACS). The project is available at >[1], you can find a detailed explanation of the idea of the project, its >aspirations, basic concepts, installation and uninstallation processes and >other information at [2]. Also, if you want to know more about the >Autonomiccs and its creators, you can access the link [3]. > >The code that was opened at Github is part of a bigger system that has the >goal of managing a cloud computing environment autonomously. All of that is >being developed and used in my Ph. D. thesis and the masters’ thesis of >some colleagues. The formalization of that component will be published at >the 12th IEEE World Congress on Services (SERVICES 2016) at San Francisco >USA. > >You can see the stats of our code at [4] and [5]. Right now we only have >~40% of code test coverage. However, we intend to increase that value to >~60% until next week and ~90% until the end of June. > >To give you a picture of what we are preparing for the future, we can >highlight the following goals for this year (You can find others short term >goals at [6]): > > - > > Integrate our platform [1] with a multi-agent system (MAS) platform, in > order to facilitate the development of agents. Currently, we are using > Spring-integration to “emulate” and an agent life cycle; that can become a > problem when needing to add more agents and they start to communicate with > each other. Therefore, we will integrate the platform in [1] with JADE [7]; > - > > Today the metrics about the use of resource are not properly gathered by > ACS; in order to develop more accurate predictions we need to store > resource usage metrics. Also, those metrics have to be gathered in a > distributed way without causing service degradation. For that and a few > other reasons (you can send us an email so we can provide you more > details), we are developing an autonomic monitoring platform that will > integrate with the system available in [1]; > - > > We also foresee the need to develop a better way to visualize the cloud > environment, a way to detect hot spots (pods and hosts) with higher > resource usage trends (VMs trends). We see the need to change the rustic > view of the environment with tables for a better suitable one for humans > (this is a surprise that we intend to present at the CCCBR). > >We hope you like the software and that it meets your expectations. If it >does not suffice all of your needs, let’s work together to improve it. If >you have any doubts or suggestions please send us an email; we will reply >it as fast as we can. Also, critics that can help us improve that platform >are very welcome. > >[1] https://github.com/Autonomiccs/autonomiccs-platform > >[2] https://github.com/Autonomiccs/autonomiccs-platform/wiki > >[3] http://autonomiccs.com.br/ > >[4] http://jenkins.autonomiccs.com.br/ > >[5] http://sonar.autonomiccs.com.br/ > >[6] https://github.com/Autonomiccs/autonomiccs-platform#project-evolution > >[7] http://jade.tilab.com/ > > >Cheers, Gabriel. DISCLAIMER == This e-mail may contain privileged and confidential information which is the property of Accelerite, a Persistent Systems business. It is intended only for the use of the individual or entity to which it is addressed. If you are not the intended recipient, you are not authorized to read, retain, copy, print, distribute or use this message. If you have received this communication in error, please notify the sender and delete all copies of this message. Accelerite, a Persistent Systems business does not accept any liability for virus infected mails.
Re: [ANNOUNCE] Open source distributed virtual machine scheduling platform
congratulations guys.. ~Rajani On Wed, Apr 27, 2016 at 2:29 AM, Gabriel Beims Bräscher < gabrasc...@gmail.com> wrote: > Hello CloudStack community members (@dev and @users), > > This email is meant to announce the publication of a project on Github that > provides a distributed virtual machine scheduling platform that can be > easily integrated with Apache CloudStack (ACS). The project is available at > [1], you can find a detailed explanation of the idea of the project, its > aspirations, basic concepts, installation and uninstallation processes and > other information at [2]. Also, if you want to know more about the > Autonomiccs and its creators, you can access the link [3]. > > The code that was opened at Github is part of a bigger system that has the > goal of managing a cloud computing environment autonomously. All of that is > being developed and used in my Ph. D. thesis and the masters’ thesis of > some colleagues. The formalization of that component will be published at > the 12th IEEE World Congress on Services (SERVICES 2016) at San Francisco > USA. > > You can see the stats of our code at [4] and [5]. Right now we only have > ~40% of code test coverage. However, we intend to increase that value to > ~60% until next week and ~90% until the end of June. > > To give you a picture of what we are preparing for the future, we can > highlight the following goals for this year (You can find others short term > goals at [6]): > >- > >Integrate our platform [1] with a multi-agent system (MAS) platform, in >order to facilitate the development of agents. Currently, we are using >Spring-integration to “emulate” and an agent life cycle; that can > become a >problem when needing to add more agents and they start to communicate > with >each other. Therefore, we will integrate the platform in [1] with JADE > [7]; >- > >Today the metrics about the use of resource are not properly gathered by >ACS; in order to develop more accurate predictions we need to store >resource usage metrics. Also, those metrics have to be gathered in a >distributed way without causing service degradation. For that and a few >other reasons (you can send us an email so we can provide you more >details), we are developing an autonomic monitoring platform that will >integrate with the system available in [1]; >- > >We also foresee the need to develop a better way to visualize the cloud >environment, a way to detect hot spots (pods and hosts) with higher >resource usage trends (VMs trends). We see the need to change the rustic >view of the environment with tables for a better suitable one for humans >(this is a surprise that we intend to present at the CCCBR). > > We hope you like the software and that it meets your expectations. If it > does not suffice all of your needs, let’s work together to improve it. If > you have any doubts or suggestions please send us an email; we will reply > it as fast as we can. Also, critics that can help us improve that platform > are very welcome. > > [1] https://github.com/Autonomiccs/autonomiccs-platform > > [2] https://github.com/Autonomiccs/autonomiccs-platform/wiki > > [3] http://autonomiccs.com.br/ > > [4] http://jenkins.autonomiccs.com.br/ > > [5] http://sonar.autonomiccs.com.br/ > > [6] https://github.com/Autonomiccs/autonomiccs-platform#project-evolution > > [7] http://jade.tilab.com/ > > > Cheers, Gabriel. >
Re: [ANNOUNCE] Open source distributed virtual machine scheduling platform
Thank you guys for the cheers. That is a very warm welcome for our little project ;) You bet we will keep the hard work. There is much (really much) more to work on, with this project we will have at least 2 masters’ thesis and 3 Ph.D. thesis; that is something to keep us busy for the next 5+ years only in research and development (RD). We hope you guys test the Autonomiccs platform and may even use it in your production environments. If any of you want to chat in person, I will be at the ApacheCon NA (Thanks for the ASF funding) that will be happening between May 09-11 in Vancouver and at the SERVICES conference that will be happening between June 27 and July 02 in San Francisco. On Tue, Apr 26, 2016 at 10:28 PM, Ahmad Emneina wrote: > This looks really cool and promising! Keep up the great work. > > On Tue, Apr 26, 2016 at 1:59 PM, Gabriel Beims Bräscher < > gabrasc...@gmail.com> wrote: > > > Hello CloudStack community members (@dev and @users), > > > > This email is meant to announce the publication of a project on Github > that > > provides a distributed virtual machine scheduling platform that can be > > easily integrated with Apache CloudStack (ACS). The project is available > at > > [1], you can find a detailed explanation of the idea of the project, its > > aspirations, basic concepts, installation and uninstallation processes > and > > other information at [2]. Also, if you want to know more about the > > Autonomiccs and its creators, you can access the link [3]. > > > > The code that was opened at Github is part of a bigger system that has > the > > goal of managing a cloud computing environment autonomously. All of that > is > > being developed and used in my Ph. D. thesis and the masters’ thesis of > > some colleagues. The formalization of that component will be published at > > the 12th IEEE World Congress on Services (SERVICES 2016) at San Francisco > > USA. > > > > You can see the stats of our code at [4] and [5]. Right now we only have > > ~40% of code test coverage. However, we intend to increase that value to > > ~60% until next week and ~90% until the end of June. > > > > To give you a picture of what we are preparing for the future, we can > > highlight the following goals for this year (You can find others short > term > > goals at [6]): > > > >- > > > >Integrate our platform [1] with a multi-agent system (MAS) platform, > in > >order to facilitate the development of agents. Currently, we are using > >Spring-integration to “emulate” and an agent life cycle; that can > > become a > >problem when needing to add more agents and they start to communicate > > with > >each other. Therefore, we will integrate the platform in [1] with JADE > > [7]; > >- > > > >Today the metrics about the use of resource are not properly gathered > by > >ACS; in order to develop more accurate predictions we need to store > >resource usage metrics. Also, those metrics have to be gathered in a > >distributed way without causing service degradation. For that and a > few > >other reasons (you can send us an email so we can provide you more > >details), we are developing an autonomic monitoring platform that will > >integrate with the system available in [1]; > >- > > > >We also foresee the need to develop a better way to visualize the > cloud > >environment, a way to detect hot spots (pods and hosts) with higher > >resource usage trends (VMs trends). We see the need to change the > rustic > >view of the environment with tables for a better suitable one for > humans > >(this is a surprise that we intend to present at the CCCBR). > > > > We hope you like the software and that it meets your expectations. If it > > does not suffice all of your needs, let’s work together to improve it. If > > you have any doubts or suggestions please send us an email; we will reply > > it as fast as we can. Also, critics that can help us improve that > platform > > are very welcome. > > > > [1] https://github.com/Autonomiccs/autonomiccs-platform > > > > [2] https://github.com/Autonomiccs/autonomiccs-platform/wiki > > > > [3] http://autonomiccs.com.br/ > > > > [4] http://jenkins.autonomiccs.com.br/ > > > > [5] http://sonar.autonomiccs.com.br/ > > > > [6] > https://github.com/Autonomiccs/autonomiccs-platform#project-evolution > > > > [7] http://jade.tilab.com/ > > > > > > Cheers, Gabriel. > > > -- Rafael Weingärtner
Re: [ANNOUNCE] Open source distributed virtual machine scheduling platform
Really nice! This is super exciting stuff. - Si From: Daan Hoogland Sent: Tuesday, April 26, 2016 4:36 PM To: dev Cc: us...@cloudstack.apache.org Subject: Re: [ANNOUNCE] Open source distributed virtual machine scheduling platform congratulation guys On Tue, Apr 26, 2016 at 10:59 PM, Gabriel Beims Bräscher < gabrasc...@gmail.com> wrote: > Hello CloudStack community members (@dev and @users), > > This email is meant to announce the publication of a project on Github that > provides a distributed virtual machine scheduling platform that can be > easily integrated with Apache CloudStack (ACS). The project is available at > [1], you can find a detailed explanation of the idea of the project, its > aspirations, basic concepts, installation and uninstallation processes and > other information at [2]. Also, if you want to know more about the > Autonomiccs and its creators, you can access the link [3]. > > The code that was opened at Github is part of a bigger system that has the > goal of managing a cloud computing environment autonomously. All of that is > being developed and used in my Ph. D. thesis and the masters’ thesis of > some colleagues. The formalization of that component will be published at > the 12th IEEE World Congress on Services (SERVICES 2016) at San Francisco > USA. > > You can see the stats of our code at [4] and [5]. Right now we only have > ~40% of code test coverage. However, we intend to increase that value to > ~60% until next week and ~90% until the end of June. > > To give you a picture of what we are preparing for the future, we can > highlight the following goals for this year (You can find others short term > goals at [6]): > >- > >Integrate our platform [1] with a multi-agent system (MAS) platform, in >order to facilitate the development of agents. Currently, we are using >Spring-integration to “emulate” and an agent life cycle; that can > become a >problem when needing to add more agents and they start to communicate > with >each other. Therefore, we will integrate the platform in [1] with JADE > [7]; >- > >Today the metrics about the use of resource are not properly gathered by >ACS; in order to develop more accurate predictions we need to store >resource usage metrics. Also, those metrics have to be gathered in a >distributed way without causing service degradation. For that and a few >other reasons (you can send us an email so we can provide you more >details), we are developing an autonomic monitoring platform that will >integrate with the system available in [1]; >- > >We also foresee the need to develop a better way to visualize the cloud >environment, a way to detect hot spots (pods and hosts) with higher >resource usage trends (VMs trends). We see the need to change the rustic >view of the environment with tables for a better suitable one for humans >(this is a surprise that we intend to present at the CCCBR). > > We hope you like the software and that it meets your expectations. If it > does not suffice all of your needs, let’s work together to improve it. If > you have any doubts or suggestions please send us an email; we will reply > it as fast as we can. Also, critics that can help us improve that platform > are very welcome. > > [1] https://github.com/Autonomiccs/autonomiccs-platform > > [2] https://github.com/Autonomiccs/autonomiccs-platform/wiki > > [3] http://autonomiccs.com.br/ > > [4] http://jenkins.autonomiccs.com.br/ > > [5] http://sonar.autonomiccs.com.br/ > > [6] https://github.com/Autonomiccs/autonomiccs-platform#project-evolution > > [7] http://jade.tilab.com/ > > > Cheers, Gabriel. > -- Daan
Re: [ANNOUNCE] Open source distributed virtual machine scheduling platform
congratulation guys On Tue, Apr 26, 2016 at 10:59 PM, Gabriel Beims Bräscher < gabrasc...@gmail.com> wrote: > Hello CloudStack community members (@dev and @users), > > This email is meant to announce the publication of a project on Github that > provides a distributed virtual machine scheduling platform that can be > easily integrated with Apache CloudStack (ACS). The project is available at > [1], you can find a detailed explanation of the idea of the project, its > aspirations, basic concepts, installation and uninstallation processes and > other information at [2]. Also, if you want to know more about the > Autonomiccs and its creators, you can access the link [3]. > > The code that was opened at Github is part of a bigger system that has the > goal of managing a cloud computing environment autonomously. All of that is > being developed and used in my Ph. D. thesis and the masters’ thesis of > some colleagues. The formalization of that component will be published at > the 12th IEEE World Congress on Services (SERVICES 2016) at San Francisco > USA. > > You can see the stats of our code at [4] and [5]. Right now we only have > ~40% of code test coverage. However, we intend to increase that value to > ~60% until next week and ~90% until the end of June. > > To give you a picture of what we are preparing for the future, we can > highlight the following goals for this year (You can find others short term > goals at [6]): > >- > >Integrate our platform [1] with a multi-agent system (MAS) platform, in >order to facilitate the development of agents. Currently, we are using >Spring-integration to “emulate” and an agent life cycle; that can > become a >problem when needing to add more agents and they start to communicate > with >each other. Therefore, we will integrate the platform in [1] with JADE > [7]; >- > >Today the metrics about the use of resource are not properly gathered by >ACS; in order to develop more accurate predictions we need to store >resource usage metrics. Also, those metrics have to be gathered in a >distributed way without causing service degradation. For that and a few >other reasons (you can send us an email so we can provide you more >details), we are developing an autonomic monitoring platform that will >integrate with the system available in [1]; >- > >We also foresee the need to develop a better way to visualize the cloud >environment, a way to detect hot spots (pods and hosts) with higher >resource usage trends (VMs trends). We see the need to change the rustic >view of the environment with tables for a better suitable one for humans >(this is a surprise that we intend to present at the CCCBR). > > We hope you like the software and that it meets your expectations. If it > does not suffice all of your needs, let’s work together to improve it. If > you have any doubts or suggestions please send us an email; we will reply > it as fast as we can. Also, critics that can help us improve that platform > are very welcome. > > [1] https://github.com/Autonomiccs/autonomiccs-platform > > [2] https://github.com/Autonomiccs/autonomiccs-platform/wiki > > [3] http://autonomiccs.com.br/ > > [4] http://jenkins.autonomiccs.com.br/ > > [5] http://sonar.autonomiccs.com.br/ > > [6] https://github.com/Autonomiccs/autonomiccs-platform#project-evolution > > [7] http://jade.tilab.com/ > > > Cheers, Gabriel. > -- Daan
Re: [ANNOUNCE] Open source distributed virtual machine scheduling platform
Cool stuff! You might want to announce this on the marketing@ list as well for further exposure :-) -- Erik On Tue, Apr 26, 2016 at 10:59 PM, Gabriel Beims Bräscher < gabrasc...@gmail.com> wrote: > Hello CloudStack community members (@dev and @users), > > This email is meant to announce the publication of a project on Github that > provides a distributed virtual machine scheduling platform that can be > easily integrated with Apache CloudStack (ACS). The project is available at > [1], you can find a detailed explanation of the idea of the project, its > aspirations, basic concepts, installation and uninstallation processes and > other information at [2]. Also, if you want to know more about the > Autonomiccs and its creators, you can access the link [3]. > > The code that was opened at Github is part of a bigger system that has the > goal of managing a cloud computing environment autonomously. All of that is > being developed and used in my Ph. D. thesis and the masters’ thesis of > some colleagues. The formalization of that component will be published at > the 12th IEEE World Congress on Services (SERVICES 2016) at San Francisco > USA. > > You can see the stats of our code at [4] and [5]. Right now we only have > ~40% of code test coverage. However, we intend to increase that value to > ~60% until next week and ~90% until the end of June. > > To give you a picture of what we are preparing for the future, we can > highlight the following goals for this year (You can find others short term > goals at [6]): > >- > >Integrate our platform [1] with a multi-agent system (MAS) platform, in >order to facilitate the development of agents. Currently, we are using >Spring-integration to “emulate” and an agent life cycle; that can > become a >problem when needing to add more agents and they start to communicate > with >each other. Therefore, we will integrate the platform in [1] with JADE > [7]; >- > >Today the metrics about the use of resource are not properly gathered by >ACS; in order to develop more accurate predictions we need to store >resource usage metrics. Also, those metrics have to be gathered in a >distributed way without causing service degradation. For that and a few >other reasons (you can send us an email so we can provide you more >details), we are developing an autonomic monitoring platform that will >integrate with the system available in [1]; >- > >We also foresee the need to develop a better way to visualize the cloud >environment, a way to detect hot spots (pods and hosts) with higher >resource usage trends (VMs trends). We see the need to change the rustic >view of the environment with tables for a better suitable one for humans >(this is a surprise that we intend to present at the CCCBR). > > We hope you like the software and that it meets your expectations. If it > does not suffice all of your needs, let’s work together to improve it. If > you have any doubts or suggestions please send us an email; we will reply > it as fast as we can. Also, critics that can help us improve that platform > are very welcome. > > [1] https://github.com/Autonomiccs/autonomiccs-platform > > [2] https://github.com/Autonomiccs/autonomiccs-platform/wiki > > [3] http://autonomiccs.com.br/ > > [4] http://jenkins.autonomiccs.com.br/ > > [5] http://sonar.autonomiccs.com.br/ > > [6] https://github.com/Autonomiccs/autonomiccs-platform#project-evolution > > [7] http://jade.tilab.com/ > > > Cheers, Gabriel. >
