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.
