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A Decentralized Algorithm to Revisit the Debate of Centralization and Decentralization Approaches for Cloud Scheduling

Topics: Algorithms for Reduced Power, Energy and Heat; Energy Management Systems (EMS); Evolutionary Algorithms in Energy Applications; Optimization Techniques for Efficient Energy Consumption; Virtualization for Reducing Power Consumption

Authors: Cheikhou Thiam 1 ; Georges Da Costa 2 and Jean-Marc Pierson 2

Affiliations: 1 Universite de Thiés, Senegal ; 2 IRIT, Toulouse Computer Science Institute and Toulouse University, France

ISBN: 978-989-758-292-9

ISSN: 2184-4968

Keyword(s): Energy, Heuristic, Virtual Machines, Cloud federation, Migration.

Related Ontology Subjects/Areas/Topics: Algorithms for Reduced Power, Energy and Heat ; Energy and Economy ; Energy Management Systems (EMS) ; Energy-Aware Systems and Technologies ; Evolutionary Algorithms in Energy Applications ; Optimization Techniques for Efficient Energy Consumption ; Sustainable Computing and Communications ; Virtualization for Reducing Power Consumption

Abstract: In Cloud Computing, scheduling jobs is a major and difficult issue. The main objectives of cloud services providers are the efficient use of their computing resources. Existing cloud management systems are mostly based on centralized architectures and energy management mechanisms are suffering several limitations. To address these limitations, our contribution is to design, implement, and evaluate a novel cloud management system which provides a holistic energy-efficient VM management solution by integrating advanced VM management mechanisms such as underload mitigation, VM consolidation, and power management. In this paper, we introduce a distributed task scheduling algorithm for Clouds that enables to schedule VMs cooperatively and dynamically inside a federation of clouds. We evaluated our prototype through simulations, to compare our decentralized approach with a centralized one. Our results showed that the proposed scheduler is very reactive.

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Paper citation in several formats:
Thiam, C.; Da Costa, G. and Pierson, J. (2018). A Decentralized Algorithm to Revisit the Debate of Centralization and Decentralization Approaches for Cloud Scheduling.In Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-292-9, ISSN 2184-4968, pages 165-172. DOI: 10.5220/0006682901650172

@conference{smartgreens18,
author={Cheikhou Thiam. and Georges Da Costa. and Jean{-}Marc Pierson.},
title={A Decentralized Algorithm to Revisit the Debate of Centralization and Decentralization Approaches for Cloud Scheduling},
booktitle={Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2018},
pages={165-172},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006682901650172},
isbn={978-989-758-292-9},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - A Decentralized Algorithm to Revisit the Debate of Centralization and Decentralization Approaches for Cloud Scheduling
SN - 978-989-758-292-9
AU - Thiam, C.
AU - Da Costa, G.
AU - Pierson, J.
PY - 2018
SP - 165
EP - 172
DO - 10.5220/0006682901650172

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