TY  - JOUR
T1  - Fuzzy Based Task Scheduling for Hierarchical Resource Allocation in Mobile Grid Environment
AU - Thenmozhi, S. AU - Tamilarasi, A. AU - Thangavel, K. 
JO  - International Journal of Soft Computing
VL  - 7
IS  - 3
SP  - 97
EP  - 103
PY  - 2012
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2012.97.103
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2012.97.103
KW  - Grid computing
KW  -mobile grid
KW  -resource allocation
KW  -fuzzy task scheduling
KW  -India
AB  - In mobile grid environment, the main challenging issues are 
  scheduling, adaptation, security and mobility. The job scheduling problem becomes 
  more complicated due to the limitations of node mobility. In order to minimize 
  the resource utilization, gaining the maximum profit to be cost effective and 
  satisfying the user constraints, an efficient job scheduling technique is required 
  for mobile grid environment. In this study, researchers propose a fuzzy based 
  task scheduling algorithm for resource allocation depending upon the workload 
  and the resource availability of the grid members. In this scheduling, the computation 
  sensitive task is assigned for grid members with least workload and the communication 
  sensitive task is assigned for grid members with high resource availability. 
  Using the workload and resource availability as input variables, fuzzy decision 
  rule table is created. After defuzzification, the output gives us a perfect 
  matching for scheduling the tasks according to the load and availability. Thus, 
  the algorithm proves to be more effective in task scheduling of mobile grids. 
  From the simulation results, researchers show that the proposed scheduling technique 
  attained maximum throughput and less delay when compared with the existing technique.
ER  -