•  English
    • Persian
    • English
  •   Login
  • Ferdowsi University of Mashhad
  • |
  • Information Center and Central Library
    • Persian
    • English
  • Home
  • Source Types
    • Journal Paper
    • Ebook
    • Conference Paper
    • Standard
    • Protocol
    • Thesis
  • Use Help
View Item 
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  • All Fields
  • Title
  • Author
  • Year
  • Publisher
  • Subject
  • Publication Title
  • ISSN
  • DOI
  • ISBN
Advanced Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

Optimal Multiserver Configuration for Profit Maximization in Cloud Computing

Author:
Cao, Junwei
,
Hwang, Kai
,
Li, Keqin
,
Zomaya, Albert Y.
Publisher:
IEEE
Year
: 2012
DOI: 10.1109/tpds.2012.203
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/349989
Collections :
  • Latin Articles
  • Download: (216.2Kb)
  • Show Full MetaData Hide Full MetaData
  • Statistics

    Optimal Multiserver Configuration for Profit Maximization in Cloud Computing

Show full item record

contributor authorCao, Junwei
contributor authorHwang, Kai
contributor authorLi, Keqin
contributor authorZomaya, Albert Y.
date accessioned2020-03-11T00:38:05Z
date available2020-03-11T00:38:05Z
date issued2012
identifier otherlwirZpTbmSDqrJyh0lB4s4WKuJYJ6wpCNirqzUzD3n9Cr2gx2z.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/349989?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleOptimal Multiserver Configuration for Profit Maximization in Cloud Computing
typeJournal Paper
contenttypeFulltext
contenttypeFulltext
identifier padid2310587
identifier doi10.1109/tpds.2012.203
journal titleIEEE Transactions on Parallel and Distributed Systems
coverageAcademic
pages1-1
filesize221261
citations2
  • About Us
نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
DSpace software copyright © 2019-2022  DuraSpace