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Energy Aware Clouds Scheduling Using Anti-load Balancing Algorithm - EACAB

Topics: Algorithms for Reduced Power, Energy and Heat; Architectures for Smart Grids; Case Studies on Green Computing and Communications; Economic Models of Energy Efficiency; Energy Efficient Network Hardware; Energy Management Systems (EMS); Energy Monitoring; Energy Profiling and Measurement; Energy-Efficient Communication Protocols; Evolutionary Algorithms in Energy Applications; Green Communications Architectures and Frameworks; Green Computing Models, Methodologies and Paradigms; Green Data Centers; Green Software Engineering Methodologies and Tools; Load Balancing in Smart Grids; Optimization Techniques for Efficient Energy Consumption; Qos and Green Computing; Scheduling and Switching Power Supplies; Virtualization for Reducing Power Consumption; Virtualization Impact for Green Computing

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

Affiliation: Universite de Toulouse 3 Paul Sabatier, France

ISBN: 978-989-758-025-3

Keyword(s): Energy, Virtual Machines, Cloud, Consolidation.

Related Ontology Subjects/Areas/Topics: Algorithms for Reduced Power, Energy and Heat ; Architectures for Smart Grids ; Case Studies on Green Computing and Communications ; Economic Models of Energy Efficiency ; Energy and Economy ; Energy Efficient Network Hardware ; Energy Management Systems (EMS) ; Energy Monitoring ; Energy Profiling and Measurement ; Energy-Aware Systems and Technologies ; Energy-Efficient Communication Protocols ; Evolutionary Algorithms in Energy Applications ; Green Communications Architectures and Frameworks ; Green Computing Models, Methodologies and Paradigms ; Green Data Centers ; Green Software Engineering Methodologies and Tools ; Load Balancing in Smart Grids ; Optimization Techniques for Efficient Energy Consumption ; Qos and Green Computing ; Scheduling and Switching Power Supplies ; Smart Grids ; Sustainable Computing and Communications ; Virtualization for Reducing Power Consumption ; Virtualization Impact for Green Computing

Abstract: Cloud computing is a highly scalable and cost-effective infrastructure for running HPC, enterprise and Web applications. However rapid growth of the demand for computational power by scientific, business and web- applications has led to the creation of large-scale data centers consuming enormous amounts of electrical power. Hence, energy-efficient solutions are required to minimize their energy consumption. The objective of our approach is to reduce data center’s total energy consumption by controlling cloud applications’ overall resource usage while guarantying service level agreement. This article presents Energy aware clouds scheduling using anti-load balancing algorithm (EACAB). The proposed algorithm works by associating a credit value with each node. The credit of a node depends on its affinity to its jobs, its current workload and its communication behavior. Energy savings are achieved by continuous consolidation of VMs according to current utilization of resources, virtual net work topologies established between VMs and thermal state of computing nodes. The experiment results show that the cloud application energy consumption and energy efficiency is being improved effectively. (More)

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Paper citation in several formats:
Thiam, C.; Thiam, C.; Da-Costa, G. and Pierson, J. (2014). Energy Aware Clouds Scheduling Using Anti-load Balancing Algorithm - EACAB.In Proceedings of the 3rd International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-025-3, pages 82-89. DOI: 10.5220/0004856600820089

@conference{smartgreens14,
author={Cheikhou Thiam. and Cheikhou Thiam. and Georges Da{-}Costa. and Jean{-}Marc Pierson.},
title={Energy Aware Clouds Scheduling Using Anti-load Balancing Algorithm - EACAB},
booktitle={Proceedings of the 3rd International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS,},
year={2014},
pages={82-89},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004856600820089},
isbn={978-989-758-025-3},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS,
TI - Energy Aware Clouds Scheduling Using Anti-load Balancing Algorithm - EACAB
SN - 978-989-758-025-3
AU - Thiam, C.
AU - Thiam, C.
AU - Da-Costa, G.
AU - Pierson, J.
PY - 2014
SP - 82
EP - 89
DO - 10.5220/0004856600820089

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