Adapting market-oriented policies for scheduling divisible loads on clouds
Cloud computing has become an important alternative for solving big data processing. Nowadays, cloud service providers usually offer users a virtual machine with various combinations of prices. As each user has different circumstances, the problem of choosing the cost-minimized combination under a d...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Published: |
IGI Global
2020
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/87350/ http://www.dx.doi.org/10.4018/IJDST.2020040104 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.utm.87350 |
|---|---|
| record_format |
eprints |
| spelling |
my.utm.873502020-11-08T03:55:33Z http://eprints.utm.my/id/eprint/87350/ Adapting market-oriented policies for scheduling divisible loads on clouds Majid, M. L. A. Chuprat, S. T Technology (General) Cloud computing has become an important alternative for solving big data processing. Nowadays, cloud service providers usually offer users a virtual machine with various combinations of prices. As each user has different circumstances, the problem of choosing the cost-minimized combination under a deadline constraint as well as user's preference is becoming more complex. This article is concerned with the investigation of adapting a user's preference policies for scheduling real-time divisible loads in a cloud computing environment. The workload allocation approach used in this research is using Divisible Load Theory. The proposed algorithm aggregates resources into groups and optimally distributes the fractions of load to the available resources according to user's preference. The proposed algorithm was evaluated by simulation experiments and compared with the baseline approach. The result obtained from the proposed algorithm reveals that a significant reduction in computation cost can be attained when the user's preferences are low priority. IGI Global 2020 Article PeerReviewed Majid, M. L. A. and Chuprat, S. (2020) Adapting market-oriented policies for scheduling divisible loads on clouds. International Journal of Distributed Systems and Technologies, 11 (2). pp. 45-55. http://www.dx.doi.org/10.4018/IJDST.2020040104 DOI: 10.4018/IJDST.2020040104 |
| institution |
Universiti Teknologi Malaysia |
| building |
UTM Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Malaysia |
| content_source |
UTM Institutional Repository |
| url_provider |
http://eprints.utm.my/ |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) Majid, M. L. A. Chuprat, S. Adapting market-oriented policies for scheduling divisible loads on clouds |
| description |
Cloud computing has become an important alternative for solving big data processing. Nowadays, cloud service providers usually offer users a virtual machine with various combinations of prices. As each user has different circumstances, the problem of choosing the cost-minimized combination under a deadline constraint as well as user's preference is becoming more complex. This article is concerned with the investigation of adapting a user's preference policies for scheduling real-time divisible loads in a cloud computing environment. The workload allocation approach used in this research is using Divisible Load Theory. The proposed algorithm aggregates resources into groups and optimally distributes the fractions of load to the available resources according to user's preference. The proposed algorithm was evaluated by simulation experiments and compared with the baseline approach. The result obtained from the proposed algorithm reveals that a significant reduction in computation cost can be attained when the user's preferences are low priority. |
| format |
Article |
| author |
Majid, M. L. A. Chuprat, S. |
| author_facet |
Majid, M. L. A. Chuprat, S. |
| author_sort |
Majid, M. L. A. |
| title |
Adapting market-oriented policies for scheduling divisible loads on clouds |
| title_short |
Adapting market-oriented policies for scheduling divisible loads on clouds |
| title_full |
Adapting market-oriented policies for scheduling divisible loads on clouds |
| title_fullStr |
Adapting market-oriented policies for scheduling divisible loads on clouds |
| title_full_unstemmed |
Adapting market-oriented policies for scheduling divisible loads on clouds |
| title_sort |
adapting market-oriented policies for scheduling divisible loads on clouds |
| publisher |
IGI Global |
| publishDate |
2020 |
| url |
http://eprints.utm.my/id/eprint/87350/ http://www.dx.doi.org/10.4018/IJDST.2020040104 |
| _version_ |
1683230757765513216 |
| score |
13.211869 |