JOURNAL ARTICLE

A bargaining game based energy-aware load balancing in cloud data centers

Abstract

This paper addresses the energy-aware load balancing problem in the cloud computing environment. The problem considers two performance criteria- response time and energy. First, it is modeled as a cooperative game, and then an efficient algorithm is proposed to compute the Nash bargaining solution (NBS). The proposed algorithm is compared with an existing approach called NCG. The experimental results show that the proposed algorithm provides less response time while consuming less energy.

Keywords:
Cloud computing Bargaining problem Computer science Load balancing (electrical power) Game theory Nash equilibrium Energy (signal processing) Distributed computing Efficient energy use Mathematical optimization Engineering Mathematical economics Mathematics Operating system

Metrics

5
Cited By
1.16
FWCI (Field Weighted Citation Impact)
4
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
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