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A Novel Autonomous Management Distributed System for Cloud Computing Environments_ABSOLUTE_FINAL.pdf (663.2 kB)

A novel autonomous management distributed system for cloud computing environments

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conference contribution
posted on 2023-08-30, 14:18 authored by Razvan-Ioan Dinita, George Wilson, Adrian Winckles, Marcian N. Cirstea, Tim Rowsell
This paper describes a novel modular design of an autonomous management distributed system (AMDS) for cloud computing environments and it presents its implementation with the Scala programming language. The AMDS was designed from the ground up with distributed deployment, modularity and security in mind, using a full object oriented approach. A key feature of this system is the ability to gather and store information from various networking and monitoring devices from within the same computing cluster. Another key feature is the ability to intelligently control VMWare vSphere local instances based on analysis of collected data and predefined parameters. vSphere in turn, once it receives commands from the AMDS, proceeds to issue instructions to multiple locally monitored ESXi severs in order to maximize energy efficiency, reduce the carbon footprint and minimize running costs. The predefined parameters are based on results from a previous paper written by the authors. The AMDS has been deployed on the authors’ test bed and is currently running successfully. Test results show highly potential industrial applications in datacenter energy management and lowering of operating costs.

History

ISSN

1553-572X

Publisher

IEEE

Place of publication

Online

ISBN

9781479902255

Conference proceeding

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

Name of event

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

Location

Vienna, Austria

Event start date

2013-11-10

Event finish date

2013-11-13

File version

  • Accepted version

Language

  • eng

Legacy posted date

2016-07-08

Legacy creation date

2016-07-08

Legacy Faculty/School/Department

ARCHIVED Faculty of Science & Technology (until September 2018)

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