Distribution of Data Handling in Cloud Asset
Chetana Tukkoji1, Boosi Shyamala2, Archana S. Nadhan3, Rashmi K.4
1Dr. Chetana Tukkoji, Assistant Professor, Department of CSE, GITAM School of Technology- Bengaluru campus, Bangalore, India.
2Mrs. Boosi Shyamala, Assistant Professor, Department of CSE, GITAM School of Technology- Bengaluru campus, Bangalore, India.
3Mrs. Archana S. Nadhan, Assistant Professor, Department of CSE, GITAM School of Technology- Bengaluru campus, Bangalore, India.
4Ms. Rashmi K., Assistant Professor, Department of CSE, GITAM School of Technology- Bengaluru campus, Bangalore, India.
Manuscript received on January 26, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 2704-2710 | Volume-9 Issue-3, February 2020. | Retrieval Number: C6031029320/2020©BEIESP | DOI: 10.35940/ijeat.C6031.029320
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© 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: In Cloud computing, task scheduling is one of the technique of specifying and assigning job to assets that finish the job. It may be virtual computing elements like threads & processors or data flows, which is planned on hardware resources like processors. The planning operation is performed by a scheduler. Schedulers are enabled various customers to properly communicate system funds or attain excellent service quality. Scheduling is essential for computing and the notion of planning allows multitasking computers with single CPU as inner portion of a computer system’s execution model. Preference will be provided based on the requirements and goals of the user. Multiple computing parts comprise of many parallel applications while duties of execution are relied on other duties. We have studied few related articles in this paper, which is presented in the following section.
Keywords: Task Scheduling, Threads, Multi-tasking..