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Swarm oriented hybridized approach to intensify the storage spaces in Smartphones


Article Information

Title: Swarm oriented hybridized approach to intensify the storage spaces in Smartphones

Authors: Solomon Babatunde Olaleye, Ishan Ranjan

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 23

Language: English

Categories

Abstract

The advent of the mobile cloud computing is the recent exploration among the users. It’s a service obtained from the cloud computing that shares the resources, software and information to the peers and with the Smartphone as a utility service. Resources namely storage space, memory and processing time are quite discontented at the end users. In this paper, we make a study about enhancing the storage spaces of the smartphones using swarm prediction approach. We propose a hybrid algorithm named Gravitational Search Algorithm (GSA) with the aid of Binomial Formation of Arbitrary Numbers (BFAN). The task of this hybrid algorithm is to efficiently allocate the cloud resources to its intended mobile cloud users. Better positioning of the sub-jobs in the cloud servers may enhance the storage space is the thought of this research. Key formation is the basic building block of the security issues in cloud computing. Using BFAN, the best and secured fitness value is obtained. The parameter settings and its results proved the effectiveness of our proposed approach.


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