JOURNAL ARTICLE

Task scheduling Algorithms in Multi cloud Environment

Aliva PriyadarshiniAliva Priyadarshini

Year: 2020 Journal:   International Journal of Recent Technology and Engineering (IJRTE) Vol: 8 (6)Pages: 4530-4533

Abstract

One of the most commonly used technology with massive demands in the field of distributed computing is cloud computing. Cloud computing has evolved in various forms like single cloud, hybrid cloud and multi-cloud. The evolution of cloud to handle hundred and thousands of user demands, at a time, thereby facilitating resource sharing, reduction in loss of information, elimination of data storage on server side and many many more the topic of task scheduling will be prominent in all forms of cloud computing and in distributed architecture. Here, we discuss the multiple cloud architecture and the scheduling techniques applied to evenly distribute the workload across multiple clouds. Algorithms like Cloud list Scheduling (CLS), Cloud min min scheduling (CMMS), Minimum completion cloud (MCC), Median max algorithm (MEMAX), Multi-objective scheduling (MOS) are some methods suggested in the past for finding a near to optimal solution for task allocation.

Keywords:
Cloud computing Computer science Distributed computing Scheduling (production processes) Workload Fair-share scheduling Architecture Algorithm Two-level scheduling Cloud testing Operating system Cloud computing security Schedule Mathematics Mathematical optimization

Metrics

2
Cited By
0.57
FWCI (Field Weighted Citation Impact)
0
Refs
0.78
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
Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications

Related Documents

JOURNAL ARTICLE

Task Partitioning Scheduling Algorithms for Heterogeneous Multi-Cloud Environment

Sanjaya Kumar PandaSohan Kumar PandeSatyabrata Das

Journal:   Arabian Journal for Science and Engineering Year: 2017 Vol: 43 (2)Pages: 913-933
JOURNAL ARTICLE

Efficient task scheduling algorithms for heterogeneous multi-cloud environment

Sanjaya Kumar PandaPrasanta K. Jana

Journal:   The Journal of Supercomputing Year: 2015 Vol: 71 (4)Pages: 1505-1533
BOOK-CHAPTER

Task-Scheduling Algorithms in Cloud Environment

Preeta SarkhelHimansu DasLalit Kumar Vashishtha

Advances in intelligent systems and computing Year: 2017 Pages: 553-562
JOURNAL ARTICLE

SLA-based task scheduling algorithms for heterogeneous multi-cloud environment

Sanjaya Kumar PandaPrasanta K. Jana

Journal:   The Journal of Supercomputing Year: 2017 Vol: 73 (6)Pages: 2730-2762
JOURNAL ARTICLE

Normalization-Based Task Scheduling Algorithms for Heterogeneous Multi-Cloud Environment

Sanjaya Kumar PandaPrasanta K. Jana

Journal:   Information Systems Frontiers Year: 2016 Vol: 20 (2)Pages: 373-399
© 2026 ScienceGate Book Chapters — All rights reserved.