Cost Adaptive VM Management for Scientific Workflow Application in Mobile Cloud

Cited 7 time in webofscience Cited 0 time in scopus
  • Hit : 287
  • Download : 0
In this paper, to guarantee Service Level Agreement composed of the deadline and budget given by users for workflow application services in mobile cloud, we propose the two-phases algorithm with a cost adaptive VM management. Firstly, the greedy based workflow co-scheduling phase schedules a workflow by using a resource consolidation in a parallel manner to decrease a cost with the deadline assurance. Secondly, the resource profiling based placement phase locates a VM to a certain physical host in the multi-cloud using the profile on the property of clouds in order to comply with the budget while maximizing the service quality. We implement mobile cloud brokering system with the two-phases algorithm and demonstrate that our proposed system outperforms traditional cloud systems through several experimental results.
Publisher
SPRINGER
Issue Date
2015-06
Language
English
Article Type
Article
Keywords

PERFORMANCE

Citation

MOBILE NETWORKS & APPLICATIONS, v.20, no.3, pp.328 - 336

ISSN
1383-469X
DOI
10.1007/s11036-015-0593-4
URI
http://hdl.handle.net/10203/199452
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 7 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0