Title: Scalability assurance process in replication and migration using cloud simulator

Authors: P. Deivendran; Ealai Rengasari Naganathan

Addresses: Centre of Information Technology and Engineering, Manonmaniam Sundaranar University, Tirunelveli, India ' Department of Computer Science and Engineering, Computer Studies and Research, Symbiosis International University, Pune, India

Abstract: In service-oriented computing, service customers call up services deployed by service providers and service providers are responsible to deal with the excellence of their services including scalability, accessibility and performance. In particularly, scalability is tough to get, mainly due to the unidentified nature of service customers and changeable volumes of service invocations. Services with underprivileged scalability would be defeated the consumer basis, resultant in small revenues. Predictable approach to scalability of network, database and scattered computing are hardware-oriented solutions. In this paper, we present software-oriented approaches to guarantee elevated scalability of services in cloud computing. We first identify scalability in service-oriented computing, present suitable foundation of services scalability. Then, we present two efficient scalabilities assure scheme; service replication and migration. The future schemes are well-known from predictable scalability schemes in three ways. To give you an idea about the applicability of planned schemes, we demonstrate a result of implementing the scheme and experiments with them. Through means of the methods, services scalability can be to the highest degree improved enthusiastically by using software solutions. Growth of large network infrastructures have led to several systems that design large-scale distributed systems supporting efficient, secure and available services.

Keywords: cloud computing; scalability; migration; service; networks; distributed performance.

DOI: 10.1504/IJNVO.2019.101153

International Journal of Networking and Virtual Organisations, 2019 Vol.21 No.1, pp.112 - 126

Received: 04 Feb 2017
Accepted: 18 Apr 2017

Published online: 19 Jul 2019 *

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