A Meta-Heuristic Approach for Scheduling the Loads in DFS For Cloud Environment Using Tabu Search

  S.Aruna Devi,  Dr.M.Karthika,  Dr.X.Josphin Jasline Anitha

Cloud computing is one of the flourishing technologies in the present day. The cloud users are being increased day by day. So, the cloud services require better performance of the cloud. Load balancing is the mechanism that dividends the dynamic workload for all nodes in the whole cloud. The load can be cpu load, memory capacity or network load. Load balancing is the process of dividing and assigning the workload among various nodes in the distributed system to improve both resource utilization and response time of the job. Load balancing will avoid a situation where some of the nodes are doing much work while some of the other nodes are being idle in the distributed system. Load balancing ensures that all the processors in the system or every node in the network do approximately the equal amount of work at any instant of time. The main objective of load balancing algorithm is to achieve high resource utilization, best performance and user satisfaction. This paper discusses how the tabu search involves in distributed load scheduling and gives better solution towards it.

Keywords- cloud computing, DFS, load balancing, tabu search.

Unique Identification Number - IJEDR1701108
Page Number(s) - 691-695
Pubished in - Volume 5 | Issue 1 | March 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  S.Aruna Devi,  Dr.M.Karthika,  Dr.X.Josphin Jasline Anitha,   "A Meta-Heuristic Approach for Scheduling the Loads in DFS For Cloud Environment Using Tabu Search", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 1, pp.691-695, March 2017, Available at :http://www.ijedr.org/papers/IJEDR1701108.pdf