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From Daan Hoogland <>
Subject Re: [ANNOUNCE] Open source distributed virtual machine scheduling platform
Date Tue, 26 Apr 2016 21:36:22 GMT
congratulation guys

On Tue, Apr 26, 2016 at 10:59 PM, 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]
> [2]
> [3]
> [4]
> [5]
> [6]
> [7]
> Cheers, Gabriel.


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