Taxonomy of Load Balancing Techniques in Cloud Computing


Taxonomy of Load Balancing Techniques in Cloud Computing

P. Ratna Shekar, A. Sandhya

P. Ratna Shekar, A. Sandhya "Taxonomy of Load Balancing Techniques in Cloud Computing" Published in International Journal of Trend in Research and Development (IJTRD), ISSN: 2394-9333, Volume-5 | Issue-3 , June 2018, URL: http://www.ijtrd.com/papers/IJTRD16494.pdf

Day by day progression of IT industry is advancing swiftly and to meet its advanced requirements there is need of highly reliable, fast, and scalable computing and storage services. Cloud computing is a computing technology that helps organizations to make use of computing and storage services over internet in paid basis. From past decade popularity of cloud computing is increasing and most of the organizations are looking forward to migrate to cloud computing because of its diversified applications such as reliability, scalability, agility, and moreover it reduces the burden of cost and IT infrastructure administration related issues. Cloud computing is a distributed computing environment and is in demand for its service delivery and efficient outputs. But there are also several issues like security, load balancing, etc. exists, that are need to be resolved for better outcome of the business. Load balancing plays significant role in enhancing performance of cloud computing environment. Distributing the load between several resources for better usage and increasing the response time by avoiding jobs that consumes excess usage of resources while some other tasks are idle and waiting for those resources. Here load means tasks of particular resource like CPU, storage, network etc. to be executed. There are several techniques are proposed for the handle the load balance issue in cloud computing. This paper discusses some of those techniques which helps cloud to improve the reliability and produce better availability of resources.

Cloud Computing, Load Balancing, Load Balancing Techniques, Load Balancing Advantages, Cloud Resources.


Volume-5 | Issue-3 , June 2018

2394-9333

IJTRD16494
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