Nature Inspired Algorithms in Cloud Computing: A Survey

Gamal Abd El-Nasser A. Said

doi:10.11648/j.ijiis.20160505.11

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JOURNAL ARTICLE

Nature Inspired Algorithms in Cloud Computing: A Survey

Gamal Abd El-Nasser A. Said

Year: 2016 Journal: International Journal of Intelligent Information Systems Vol: 5 (5)Pages: 60-60 Publisher: Science Publishing Group

DOI: 10.11648/j.ijiis.20160505.11

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Abstract

Cloud Computing consists of many resources, the problem of mapping tasks on unlimited computing resources in cloud computing is NP-hard optimization problem. In this paper, we provide a survey of popular nature inspired algorithms: Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Genetic Algorithm (GA) for solving NP-hard problems in cloud computing.

Keywords:

Cloud computing Computer science Data science Operating system

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Topics

Cloud Computing and Resource Management

Physical Sciences → Computer Science → Information Systems

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Quantum Computing Algorithms and Architecture

Physical Sciences → Computer Science → Artificial Intelligence

Nature Inspired Algorithms in Cloud Computing: A Survey

Abstract

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Citation History

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