Dear Qiao and all,
This draft is a great example to provide a scenario for using ALTO information.
However, I have several questions and want to make it clear:
First of all, if I understand right, EDTO has three information sources: the
DTR, the network information from ALTO, and the information of the datasets.
When you mentioned that ALTO server will provide link bandwidth in line 3 in
section 5.4, I’m not very clear why and how ALTO server provides this kind of
information.
Besides, if EDTO will do the scheduling work, supposedly it will firstly get
the information of link capacity. But in the architecture of EDTO now, I’m not
quite sure how does the scheduler get the information of link capacity.
One small suggestion, the diagram in section 5.1 which shows the architecture
of EDTO platform, will be more precise if it can display the direction of
dataflow. For example, the data from users’ requests will flow to the DTR
Collector, and the data from DTR Collector, Dataset Transfer Manager and ALTO
Client will flow to DTR Scheduler, etc. Using arrows to replace the lines when
there is dataflow will be more clear and understandable.
Plus, three trivial problems. First is that the page links of 5.7.3 and 6.4
doesn’t work. Second, in Section 1, Paragraph 2, line 4, ANd -> And. Third, in
Page 4, first line, not sure if you want to say flow steering by saying flow
sterring( a typo?)
Please correct me if I misunderstand anything. Thanks!
May
At 2016-07-09 07:53:04, "Qiao Xiang" <[email protected]> wrote:
Dear All,
We have submitted a new I-D for consideration. It describes a dataset transfer
orchestrator framework for exascale science networks. It collects network
information from multiple ALTO services utilizing proposed topology extensions
and
leverages emerging SDN control capabilities to orchestrate the scheduling of
multiple large dataset transfers, leading to improved data transfer latency and
reliability as well as more efficient utilization of limited network resources.
It can be found at
https://datatracker.ietf.org/doc/draft-xiang-alto-exascale-network-optimization/
. and your comments are welcomed.
Thanks.
Best
Qiao
--
Qiao Xiang
Postdoctoral Fellow,
Department of Computer Science,
Yale University
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