Abstract
In Mobile Cloud Computing (MCC), load balancing is essential to distribute the local workload evenly across all the nodes either statically or dynamically. A high level of user satisfaction and resource utilization ratio can be achieved by ensuring an efficient and fair allocation of all computing resources. In the absence of proper load balancing strategy/technique the growth of MCC will never go as per predictions. The appropriate load balancing helps in minimizing resource consumption, implementing fail-over, enabling scalability, avoiding bottlenecks. In this paper, a prognostic load balancing strategy is proposed and implemented for computational latency reduction in MCC. Also the results of proposed technique is compared with existing techniques. Finally this study concludes that the proposed predictive technique reduces associated overheads, service response time and improves performance. There are also Various parameters that are identified and used to compare the existing techniques. Â
Highlights
In last few years, applications targeted at mobile devices have started becoming abundant with applications in various categories such as entertainment, health, games, business, social networking, travel and news
cloud computing (CC) can be defined as the aggregation of computing as a utility and software as a service [1]. where the applications are delivered as services over the Internet and the hardware and systems software in data centers provide those services [2]
The key strengths of CC can be described in terms of the services offered by cloud service providers: software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS) [3]
Summary
Applications targeted at mobile devices have started becoming abundant with applications in various categories such as entertainment, health, games, business, social networking, travel and news. Some of the examples is as the total no of users of web application suddenly increased for some amount of time such as „Tatkal Ticket Scheme‟ of Indian Railways where the no of consumers of ticket reservation are increased so high leads to increase in server downtime and the web application slows down regardless of speed of network connectivity and processing capacity of server At this point, the choice of load balancing strategies is vital. The cloudlet concept proposed by Satyanarayanan [8] is another approach to MCC, Where the mobile device offloads its workload to a local „cloudlet‟ comprised of several multi-core computers with connectivity to the remote cloud servers. Load Balancing [10] [11] [12] will play key role in MCC to ensure availability and avoidance of bottleneck
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