Compatibility of Hybrid Process Scheduler in Green IT Cloud Computing Environment

Abstract

Workflow have been utilized to characterize a various form of applications concerning high processing and storage space demands. As a clarification to provide this stipulation, the cloud computing pattern has appeared as an on demand resources supplier. So, to make the cloud computing environment more eco-friendly, our research project was aiming in reducing E-waste accumulated by computers. As public clouds incriminate users in a per-use source, private clouds are possessed by users and can be employed with no charge. When public and private clouds are combined, we have what we term a hybrid cloud. In a hybrid cloud, the user has flexibility offered by public cloud resources that can be combined to the private resources pool as required. Our previous work described the process of combining the low range and mid range processors with the high end processor to make the IT environment without e-waste. Then we focused on the allocation of resources in an optimal manner with respect to bandwidth and processors' ability. One question featured by the users in such systems is: Which are the finest resources to demand from a public cloud supported on the present demand and on resources overheads? In this paper we deal with this problem, presenting CHPS: Compatibility of Hybrid processor scheduler in green IT cloud computing environment. CHPS decides which resources should be chartered from the public cloud and combined to the private cloud to offer adequate processing power to perform a workflow inside a specified execution time. We present widespread experimental and simulation results which illustrate that CHPS can decrease costs as attaining the recognized preferred execution time.

Cost-aware challenges for workflow scheduling approaches in cloud computing environments: Taxonomy and opportunities

“…Compatibility of Hybrid Processor Scheduler (CHPS) [2] Various forms of applications concerning high processing and storage space demands are characterized.…”

“…Furthermore, the resource providers find it hard to ensure the resource availability due to the variability and complexity of the underlying resource characteristics and access policies. Researchers have considered three parameters to overcome the aforementioned challenges: (i) Estimated Execution Time (EET); (ii) Estimated data Transfer Time (ETT); and (iii) Estimated Finish Time (EFT) [2,3,8,10,12,32,62,72,100,101]. The scheduler needs to include these parameters in the workflow definition to enhance the estimation process by considering the historical results.…”

“…In addition, resource utilization also deals with the challenges of choosing computing resources in various organizations [51]. A pool of processors can be provided to users' workflow application tasks according to the optimal task, time, and resource utilization method in accordance to the energy level to establish cloud computing performance [2]. In order to achieve cost optimization, it is essential to offer effective resource utilization by rendering WFS application execution more affordable [76].…”

“…Several methods consider resource utilization as one of the performance criteria [2,76]. In addition, resource utilization also deals with the challenges of choosing computing resources in various organizations [51].…”

“…Workflow Scheduling (WFS) is aimed to automatically assign and manage the execution of dependent tasks on shared resources that are controlled by a workflow scheduler [1,2]. Researchers focus on WFS due to its ability to handle complicated applications (e.g.…”