Resource Provisioning for Scientific Workflow Applications using Aws Cloud
1S.M.Jaybhaye*, PhD Scholar, Department of Computer Engineering and Information Technology, College of Engineering Pune, Pune, India.
2Dr. V.Z.Attar, Associate Professor & Head, Department of Computer Engineering and Information Technology, College of Engineering Pune, Pune, India.
Manuscript received on February 06, 2020. | Revised Manuscript received on February 10, 2020. | Manuscript published on February 30, 2020. | PP: 1122-1126 | Volume-9 Issue-3, February, 2020. | Retrieval Number: B4502129219/2020©BEIESP | DOI: 10.35940/ijeat.B4502.129320
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud computing play a very important role in day to day life of everyone. In recent years cloud services are much popular for hosting the applications. Virtual Machine Instances are the Images of physical machines which are described with its specification and configurations such as number of microprocessor (CPU) cycles, Memory access and network bandwidth. Cloud provider must contribute special interest while designing and implementing the Iaas. The role of quality and service performance is crucial aspects in application execution Scientific workflow based applications are both compute and data intensive. These application can take advantage of cloud features. Resource provisioning approaches varies based on the user’s requirements and the metric which is used to allocated resources.
Keywords: Cloud computing, Resource provisioning, Scheduling.