Stochastic Simulator for Optimal Cloud Resource Allocation in a Heterogeneous Environment

Abstract

Cloud computing environment provides on-demand access to shared resources that can be managed with minimal interaction of cloud service provider. It is a heterogeneous environment where number of users request for shared resources with different possible conditions. Cloud computing provides reliable and validated services to the users on pay asyou-use basis. In a cloud computing environment, resources are allocated in terms of virtual machines and allocating the virtual machine to an appropriate user is very important so as to efficiently utilize scarce resources and to satisfy QoS requirements. In this paper, an attempt has been made to develop a stochastic simulator that allocates virtual machine to the user with efficient resource utilization and minimal investment. In present simulator, resource allocation strategy depending upon the time and cost has been proposed to allocate resources (virtual machines) in order to fulfil the requirements of both, cloud users and service providers. In additions, it has been assumed that each VM is capable of executing all requests and the execution times are generated as samples from a specific non-.uniform probability distribution i.e. by Exponential Distribution function. Simulation results demonstrate the better performance of clouds with minimum makespan of jobs on a given set of heterogeneous virtual machines (VMs).

Resource allocation mechanisms in cloud computing: a systematic literature review

“…Suri and Goyal [87 ] proposed a simulator to evaluate the RA mechanisms called ‘SIM_OPCLOUD_ALLOC’. The simulator has allocated the requests to the best VM with minimal investment, appropriate efficiency, and load balancing.…”

Simulator for Priority based Scheduling of Resources in Cloud Computing

“…In [9], authors discussed MapReduce scheduling and its schedulers and also discussed the provisioning of virtual machines to resources in the cloud. In [10], presented a stochastic simulator for optimal cloud resource allocation in a heterogeneous environment that allocating the job to the best machines and minimize makespan and execution cost. In [11],authors presented allocation and scheduling model on workflow application model in cloud contents, considering execution time, cost expenditure and both(execution time and cost).…”