Search
Abstract
Nowadays cloud computing is one of the most popular processing models. More and more different kinds of workloads have been migrated to clouds. This trend obliges the community to design algorithms which could optimize the usage of cloud resources and be more effiient and effective. The paper proposes a new model of workload allocation which bases on the complementarity relation and analyzes it. An example of a case of use is shown and an increase in the workload execution is presented.
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Cite as
Full text
download paper
downloaded 13 times
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.17466/tq2017/21.4/u
- License
-
open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Published in:
-
TASK Quarterly
no. 21,
pages 395 - 403,
ISSN: 1428-6394 - Language:
- English
- Publication year:
- 2017
- Bibliographic description:
- Orzechowski P.: Complementary oriented allocation algorithm for cloud computing// TASK Quarterly. -Vol. 21., nr. 4 (2017), s.395-403
- DOI:
- Digital Object Identifier (open in new tab) 10.17466/tq2017/21.4/u
- Verified by:
- Gdańsk University of Technology
seen 120 times
Recommended for you
Automatic Discovery of IaaS Cloud Workload Types
- P. Orzechowski,
- J. Proficz,
- H. Krawczyk
- + 1 authors
2016
Multi-criteria Differential Evolution for Optimization of Virtual Machine Resources in Smart City Cloud
- J. Balicki,
- H. Balicka,
- P. Dryja
- + 1 authors
2020