Cloud resources optimization for air pollution monitoring devices and avoiding post pillar problem

Abstract

Cloud Computing is 21st century’s precious gem that is revolutionizing the computing world. Cloud computing is progressively transforming the world through its wide applicability in diverse fields. One such field is environment monitoring. Today cloud computing is being utilized for monitoring the air pollution levels in association with different sensory devices and aid the ecologists around the globe to derive subtle ways to lower down its impact factor. But the major problem with such noble application is the elasticity factor of resource provision in cloud for handling the gargantuan amount of data that is generated by sensors. This elasticity cause troublesome to the service provider as the need of resources are very erratic and spontaneous. In this paper we present an algorithmic technique that attempts to quash this problem and provide a way to optimally allocate and utilize the resources. The evaluated simulation results reveals a very positive side and suggest an increase in utilization factor by 25%-40%.