TY  - JOUR
T1  - A Novel Approach for Resource Allocation using Swarm on Clouds
AU - Singh, Harvinder AU - Bhasin, Anshu 
JO  - Asian Journal of Information Technology
VL  - 19
IS  - 10
SP  - 212
EP  - 218
PY  - 2020
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2020.212.218
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2020.212.218
KW  - Cloud computing
KW  -resource allocation
KW  -Swarm intelligence
KW  -utilization
KW  -execution cost
AB  - Cloud resource allocation if done efficiently
reduce execution cost and improve resource utilization.
Resource management policies follow different criteria to
discover most turntable resource to fulfill user
expectations of minimum cost. Task resource negotiation
process improved the probabilities for allocation based on
demand by estimation of reasonable cost for current
allocation. Such optimization process improves resource
availability and facilitates the allocation done based on
customer requirements. In this research paper, we present
resource allocation problem which further delegates to
task resource requirement, resource availability and
negotiation process. We proposed efficient resource
allocation policy using swarm heuristic approach on
simulated cloud environment. The comparison of results
with traditional algorithms extemporaneously suggests
that proposed algorithm performs better and efficiently
allocate resources in terms of QoS.
ER  -