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The state-of-art of the technology focuses on data processing and sharing to deal with huge amount of data and client's needs. Cloud computing is a promising technology, which enables one to achieve the aforesaid goal, leading towards enhanced business performance. Cloud computing comes into center of attention immediately when you think about what IT constantly needs: a means to increase capacity or add capabilities on the fly without investing in new infrastructure, training new human resources, or licensing new software. The cloud should provide resources on demand to its clients with high availability, scalability and with reduced cost. Cloud Computing System has widely been adopted by the industry, though there are many existing issues which have not been so far wholly addressed. Load balancing is one of the primary challenges, which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overwhelmed. This Paper gives an efficient dynamic load balancing algorithm for cloud workload management by which the load can be distributed not only in a balanced approach, but also it allocates the load systematically and uniformly by checking certain parameters like number of requests the server is handling currently. It balances the load on the overloaded node to under loaded node so that response time from the server will decrease and performance of the system is increased.
Haryani et al. (Wed,) studied this question.
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