Dynamic resource allocation for spot markets in clouds

USENIX Workshop on Hot Topics in Management of Internet, Cloud, and Enterprise Networks and Services, Hot-ICE 2011

Volumn , Issue , 2011, Pages

  Zhang, Qi ^a   Gürses, Eren ^a   Boutaba, Raouf ^a   Xiao, Jin ^b  

^a UNIVERSITY OF WATERLOO   (Canada)

^b Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICS; NP-HARD; OPTIMIZATION; RESOURCE ALLOCATION; VIRTUAL MACHINE;

CLOUD PROVIDERS; CONSOLIDATION MECHANISMS; DYNAMIC RESOURCE ALLOCATIONS; DYNAMIC SCHEDULING; OPTIMAL SOLUTIONS; RESOURCE DEMANDS; REVENUE MAXIMIZATION; SIMULATION STUDIES;

COMMERCE;

EID: 84908019185     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

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3. Cloudsim. http://www.cloudbus.org/cloudsim/.
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8. LISA FLEISCHER ET. AL. Tight approximation algorithms for maximum general assignment problems. In ACM Symposium on Discrete Algorithms (2006).
9. NAVRAJ CHOHAN ET. AL. See spot run: Using spot instances for mapreduce workflows. In USENIX HotCloud Workshop (2010).
10. S. KAMESHARWAN ET. AL. Nonconvex piecewise linear knapsack problems. In Euro. Jnl. of Operational Research (2009).
11. WILLIAM W. S. WEI. Time series analysis: univariate and multivariate methods. In Addison Wesley (1990).
12. YI, S., KONDO, D., AND ANDRZEJAK, A. Reducing costs of spot instances via checkpointing in the amazon elastic compute cloud. In IEEE Int. Conf. on Cloud Computing (CLOUD) (2010).