JOURNAL ARTICLE

An intensify deadline aware credit based cloud task scheduling

Abstract

CC is the developing technology tradition for day to day trade operations in today's information technology industries. It provide user with platform, software, attributes of service, virtualization and infrastructure as convenience which is effortless accessible via the internet. In cloud there are infinite tasks demands to be executed by the extant resources to attain the finest performances, achieve deadline, shortest response time etc. Scheduling is a sophisticated task in CC environment where the ambition is to schedule the task completely to reduce turnaround time and improved the overall performance. Recently existing of scheduling algorithm may work proficiently in some perspective. But they are unable to achieve deadline of task and attain maximum profit. In this paper, new mechanism is proposed which take care of deadline as well as assign credit to task based on task length and deadline, then schedule task according to need. Based on the concept of space-shared scheduling policy, this work presents deadline credit based task scheduling.

Keywords:
Computer science Distributed computing Priority inversion Scheduling (production processes) Earliest deadline first scheduling Cloud computing Virtualization Fixed-priority pre-emptive scheduling Dynamic priority scheduling Schedule Rate-monotonic scheduling Operating system Operations management

Metrics

4
Cited By
0.66
FWCI (Field Weighted Citation Impact)
4
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
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