We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Reliability Based Workflow Scheduling on Cloud Computing with Deadline Constraint.
- Authors
Khurana, Savita; Sharma, Gaurav; Kumar, Manni; Goyal, Nitin; Sharma, Bhanu
- Abstract
Distributed computing workflow is an effective paradigm to express a range of applications with cloud computing platforms for scientific research explorations. One of the most difficult application areas of cloud computing technology is task scheduling. In a cloud, heterogeneous context, job scheduling with minimal execution cost and time, as well as workflow reliability, are critical. While working in the heterogeneous cloud environment, tasks that are successfully executed are widely identified by considering the failure of the processor or any communication technologies link. It will also have an impact on the workflow's reliability as well as the user's service quality expectations. This research paper proposes a Critical Parent Reliability-based Scheduling (CPRS) method that uses the reliability parameter to plan the task while taking into account the user-defined cost and deadline metrics. The effectiveness of the algorithm is compared to current algorithms utilizing scientific workflows as a benchmark, such as Cybershake, Sipht, and Montage. The simulation results supported the assertions by efficiently allocating resources to the cloudlets and stabilizing all of the aforementioned parameters using sufficient performance metrics growth.
- Subjects
WORKFLOW management systems; WORKFLOW; TELECOMMUNICATION equipment; DISTRIBUTED computing; DEADLINES; COMPUTING platforms; CLOUD computing
- Publication
Wireless Personal Communications, 2023, Vol 130, Issue 2, p1417
- ISSN
0929-6212
- Publication type
Article
- DOI
10.1007/s11277-023-10337-z