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HYBRID APPROACH: ACO WITH GRAVITY SEARCH TO REDUCE MAKESPAN AND FLOWTIME FOR RESOURCE ALLOCATION IN...

HYBRID APPROACH: ACO WITH GRAVITY SEARCH TO REDUCE MAKESPAN AND FLOWTIME FOR RESOURCE ALLOCATION IN...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2417473736

HYBRID APPROACH: ACO WITH GRAVITY SEARCH TO REDUCE MAKESPAN AND FLOWTIME FOR RESOURCE ALLOCATION IN CLOUD COMPUTING

About this item

Full title

HYBRID APPROACH: ACO WITH GRAVITY SEARCH TO REDUCE MAKESPAN AND FLOWTIME FOR RESOURCE ALLOCATION IN CLOUD COMPUTING

Author / Creator

Publisher

Udaipur: International Journal of Advanced Research in Computer Science

Journal title

International journal of advanced research in computer science, 2017-05, Vol.8 (5), p.2467

Language

English

Formats

Publication information

Publisher

Udaipur: International Journal of Advanced Research in Computer Science

More information

Scope and Contents

Contents

Cloud computing is becoming need of the hour and provides resources to the machines that needs it. Cost to the users is on the basis of pay per use. The machines requirement must be satisfied by cloud provider in order to be competitive in current environment. Resource allocation and execution of entire job is critical in this situation. Proposed l...

Alternative Titles

Full title

HYBRID APPROACH: ACO WITH GRAVITY SEARCH TO REDUCE MAKESPAN AND FLOWTIME FOR RESOURCE ALLOCATION IN CLOUD COMPUTING

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2417473736

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2417473736

Other Identifiers

E-ISSN

0976-5697

DOI

10.26483/ijarcs.v8i5.3904

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