TY  - JOUR
AU  - Nandagopal, Malarvizhi 
AU  - Uthariaraj, Rhymend 
PY  - 2011
TI  - Performance Analysis of Resource Selection Algorithms in Grid Computing Environment
JF  - Journal of Computer Science
VL  - 7
IS  - 4
DO  - 10.3844/jcssp.2011.493.498
UR  - https://thescipub.com/abstract/jcssp.2011.493.498
AB  - Problem statement: Meta- scheduling has become important due to increased number of
jobs and resources in the area of grid computing to achieve the objectives of grid users and grid
resources. Approach: A variety of factors need to be considered for effective scheduling of resources
in such environments such as total time job spend in the grid system, global and local allocation
policies and resource utilization. A general and extensible scheduling architecture addressing these
issues is proposed. Within this architecture a Multi Criteria Resource Selection (MCRS) algorithm is
developed and performance of this algorithm is evaluated using simulations for a wide range of
parameters. To select a resource for job execution the proposed algorithm considers multiple criteria
like processing power, workload and network bandwidth of the resource. Results: The proposed
algorithm is compared with the conventional single criteria resource selection algorithms.
Conclusion: Simulation results show that in order to improve the performance of both user and
resource it is important to consider multiple criteria together to select the optimal resource, rather than
considering them separately.