Client Server Communication with Effective Resource Balancing in Cloud Computing using Genetic Algorithm
Karthik Kambhampati1, A. Srinagesh2
1Karthik Kambhampati, Research Scholar, Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur.
2Dr.A. Srinagesh, Associate Professor, Department of Computer Science and Engineering, RVR&JC College of Engineering, Guntur.
Manuscript received on 06 March 2019 | Revised Manuscript received on 12 March 2019 | Manuscript published on 30 July 2019 | PP: 6498-6502 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1097078219/2019©BEIESP | DOI: 10.35940/ijrte.B1097.078219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A network in computers consists of a set of interconnected computers using an appropriate technique. In cloud computing, every client and server is unique and has different processing capability. Each server is independent where resource allocation is an important feature for the system to appear as a single network. So the performance of the system depends on the allocation of work among the servers effectively. It is the combination of various factors like latency, throughput, consistency, reliability, and performance. The concept of dynamic resource balancing can be introduced to efficiently manage the factors to be fulfilled in a distributed network. Every client in the network benefits from dynamic resource balancing. In turn, all tasks benefit from resource balancing. The resource balancing comprises of both physical and logical features. The time, cost, performance must be optimized through resource balancing. The paper describes a model for resource balancing in the system to manage the performance through the Internet in cloud computing. This proposed algorithm can be applied to n-processor dynamic systems. This will prove effective to reduce the server resources.
Index Terms: Cloud Computing, Dynamic Resource Balancing, Client-Server Assignment, Networking, Network Traffic, Server Resource, Genetic Algorithm, Networking.
Scope of the Article: Cloud Computing