Design and development of load balancing algorithm for enhance cloud computing performance

Title

Design and development of load balancing algorithm for enhance cloud computing performance

Creator

Sebastian, Shoney.

Contributor

Ganesan, N

Description

Software Applications have taken a leadership position in the field of Information Technology to reduce the human workload. In the case of distributed applications, the scalability of the application is a matter of newlineconcern in the present dynamic scenario. The fast developments in computing resources have reduced the cost of hardware and increased the processing capability of the system remarkably. Still, hosting a distributed newlineapplication in a higher end system is not recommended due to many reasons. Firstly, when there is a massive demand in the usage of the application which is beyond the limit of the system, there is no way to scale newlineit. The second reason is that when the system usage of the application is minimal, the entire infrastructure dedicated to the targeted application will remain idle. newlineDue to the wide acceptability of the industry on cloud computing, the variety of applications are designed to target the cloud platform which is one of the challenges for efficient load balancing in the cloud newlineenvironment. A fair distribution of workload among the available resources is mandatory to improve the efficiency of the cloud platform. To share the workload, a useful load balancing strategy, as well as a timely invocation of the plan, is essential. Invocation of the approach known as triggering policy can be different in centralised and distributed scenarios. Since cloud applications are running in a distributed situation, through this research newlinework, the researcher puts forward a complete framework for balancing load in different types of the request generated in Infrastructure as a Service (IaaS) platform. newlineAs a progressive model, this research work continuously focuses on improving the performance of the load balancer in the IaaS platform. Since the cloud data centres are spread across the globe, a centralised monitoring system to monitor and analyse the resource utilisation in different data newlinecentres is an essential requirement to see the load fluctuations in different clusters.

Source

Author's Submission

Date

2019-01-01

Publisher

Christ(Deemed to be University)

Subject

Computer Science

Rights

Open Access

Relation

61000106

Format

PDF

Language

English

Type

PhD

Identifier

http://hdl.handle.net/10603/296877