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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Real-Time Tasks Scheduling in Virtualized Cloud Environment |
| Authors Name: | Mrs.R.Aarthi , Meera S , Dharanipriya J , Kalaiselvi K |
| Unique Id: | IJSDR2104068 |
| Published In: | Volume 6 Issue 4, April-2021 |
| Abstract: | Cloud Computing is quickly developing computing architecture and algorithms for supporting soft real-time task scheduling environment through the dynamic provisioning of virtual machines. The architecture integrated soft real-time task scheduling algorithms, namely master node and virtual machine node schedules. In addition Adaptive Job Scoring algorithm is also applied. When science and technology advance, the problems encountered become more complicated and need more computing power. In contrast to the traditional notion of using supercomputers, grid computing is proposed. Distributed computing supports resource sharing. Parallel computing supports computing power. Grid computing aims to harness the power of both distributed computing and parallel computing. The goal of grid computing is to aggregate idle resources on the Internet such as Central Processing Unit (CPU) cycles and storage spaces to facilitate utilization. Grid technology, which connects a number of personal computer clusters with high speed networks, can achieve the same computing power as a supercomputer does, also with a lower cost. However, grid is a heterogeneous system. Scheduling independent tasks on it is more complicated. In order to utilize the power of grid completely, we need an efficient job scheduling algorithm to assign jobs to resources in a grid. This project proposes an Adaptive Scoring Job Scheduling algorithm (ASJS) for the grid environment. Compared to other methods, it can decrease the completion time of submitted jobs, which may compose of computing-intensive jobs and data-intensive jobs. Python 3.6 is used as the frontend language to develop the application. |
| Keywords: | Real-time, Cloud computing, Virtual machine, Deadline, Laxity. |
| Cite Article: | "Real-Time Tasks Scheduling in Virtualized Cloud Environment", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 4, page no.420 - 425, April-2021, Available :http://www.ijsdr.org/papers/IJSDR2104068.pdf |
| Downloads: | 000337212 |
| Publication Details: | Published Paper ID: IJSDR2104068 Registration ID:193189 Published In: Volume 6 Issue 4, April-2021 DOI (Digital Object Identifier): Page No: 420 - 425 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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