JOURNAL ARTICLE

Opportunistic Job Sharing For Mobile Cloud Computing

PARIDHI VIJAY1 AND VANDANA VERMA2

Year: 2018 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

Cloud Computing is the evolution of new business era which is covered with many of technologies.These technology are taking advantage of economies of scale and multi tenancy which are used to decrees the cost of information technology resources. Many of the organization are eager to reduce their computing cost through the means of virtualization. This demand of reducing the computing cost and time has led to the innovation of Cloud Computing. Itenhanced computing through improved deployment and infrastructure costs and processing time. Mobile computing & its applications in smart phones enable a new, rich user experience. Due to extreme usage of limited resources in smart phones it create problems which are battery problems, memory space and CPU. To solve this problem, we propose a dynamic mobile cloud computing architecture framework to use global resources instead of local resources. In this proposed framework the usefulness of job sharing workload at runtime reduces the load at the local client and the dynamic throughput time of the job through Wi-Fi Connectivity.

Keywords:
Cloud computing Utility computing Software deployment Mobile computing Mobile cloud computing Workload Multitenancy Mobile device

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Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cloud Computing and Remote Desktop Technologies
Physical Sciences →  Computer Science →  Hardware and Architecture

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