ENHANCING THE EFFECTIVENESS OF TASK SCHEDULING METHODS IN CLOUD ENVIRONMENTS

Cloud computing combines the supremacy of parallel and distributed systems altogether. It is the first of its kind that delivered services (IaaS, PaaS and SaaS) on-demand. Its elasticity and scalability gains so much popularity worldwide, which is still one of the ongoing technologies. It charges in the form of utility computing based on a variety of pricing models: pay-per-use and reservation basis. Cloud is available in four basic forms that are: Public, Private, Community and Hybrid Cloud. Where, Amazon Web Services, Microsoft Azure, Google Cloud Platform are one of the top service providers. Still, research on different domains like: resource management, application modelling, Cloud security, interoperability, datacenters infrastructure and design are going on. Among them, resource management is one of the crucial and important areas where lots of research is still progressive. Resource management coordinates the resources in response to management actions. Due to the wide scalability, effective resource management becomes challenging now. It is the central part of Cloud environment consisting of four different phases that are: resource discovery, resource selection/allocation, task scheduling and resource monitoring. Key Words: optics, Cloud Computing, Parallel Systems, Distributed Systems, On-Demand Services, Elasticity