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From Anshul Gangwar <anshul.gang...@accelerite.com>
Subject Re: [ANNOUNCE] Open source distributed virtual machine scheduling platform
Date Wed, 27 Apr 2016 06:27:17 GMT
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" <gabrascher@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.



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