Efficient Task Distributed Algorithm using Virtual Machines for Fog Computing

IJARCSSE

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Field Value
 
Title Efficient Task Distributed Algorithm using Virtual Machines for Fog Computing
 
Creator Madhuri, P. Krishna
 
Description Fog computing is a new computing architecture, composed of a set of near-user edge devices called fog nodes, which collaborate together in order to perform computational services such as running applications, storing a signicant amount of data, and transmitting messages. Fog computing extends cloud computing by deploying digital resources at the premise of mobile devices and smart objects. In this new paradigm, management and operating functions, such as job scheduling aim at providing high-performance, cost-effective services requested by mobile devices and smart objects and executed by fog nodes. I propose a new bio-inspired optimization approach called Task Distribution Algorithm aimed at addressing the job scheduling problem in the fog computing environment. Our proposed approach is based on the optimized distribution of a set of tasks among all the fog computing nodes. The objective is to find an optimal tradeoff between CPU execution time and allocated memory required by fog computing services established by mobile devices and smart objects.
 
Publisher International Journal of Advanced Research in Computer Science and Software Engineering
 
Contributor
 
Date 2019-10-12
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ijarcsse.com/index.php/ijarcsse/article/view/1072
10.23956/ijarcsse.v9i9.1072
 
Source International Journal of Advanced Research in Computer Science and Software Engineering; Vol 9, No 9 (2019): September 2019; 17-21
2277128X
22776451
10.23956/ijarcsse.v9i9
 
Language eng
 
Relation http://ijarcsse.com/index.php/ijarcsse/article/view/1072/624
 
Rights Copyright (c) 2019 International Journal of Advanced Research in Computer Science and Software Engineering
 

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