JOURNAL ARTICLE

Priority based Performance Improved Algorithm for Meta-task Scheduling in Cloud environment

Abstract

Computing in Cloud is a topical skill that disquiet with allocation of computing resources and services on pay- per- use basis. To access remote computers, scheduling is a key task. Scheduling of task is a NP-complete problem. It is additional obscure in cloud computing atmosphere. To achieve improved performance of cloud resource, successful and proficient scheduling methodologies are needed. This paper proposes, a Meta-task Scheduling algorithm, Priority based Performance Improved Algorithm. It considers the user priority of meta-tasks. The high priority meta-task set is scheduled based on Min-Min algorithm and then the normal priority meta-task set is scheduled based on Max-Min algorithm. The proposed algorithm gives minimum makespan and better resource utilization.

Keywords:
Computer science Cloud computing Priority inversion Dynamic priority scheduling Distributed computing Deadline-monotonic scheduling Earliest deadline first scheduling Job shop scheduling Rate-monotonic scheduling Scheduling (production processes) Fair-share scheduling Algorithm Fixed-priority pre-emptive scheduling Priority ceiling protocol Two-level scheduling Mathematical optimization Computer network Operating system Quality of service Mathematics

Metrics

21
Cited By
7.28
FWCI (Field Weighted Citation Impact)
12
Refs
0.97
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
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications

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