SpotOn: A batch computing service for the spot market

ACM SoCC 2015 - Proceedings of the 6th ACM Symposium on Cloud Computing

Volumn , Issue , 2015, Pages 329-341

  Subramanya, Supreeth ^a   Guo, Tian ^a   Sharma, Prateek ^a   Irwin, David ^a   Shenoy, Prashant ^a  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

Batch job; Fault tolerance; Spot market

Indexed keywords

CLOUD COMPUTING; COMPUTER OPERATING SYSTEMS; COSTS; FAULT TOLERANCE; INTERNET;

BATCH JOBS; CLOUD PLATFORMS; COMPLEX FUNCTIONS; COMPUTE RESOURCES; COMPUTING SERVICES; FAULT TOLERANCE MECHANISMS; RESOURCE USAGE; SPOT MARKET;

COMMERCE;

EID: 84959018814     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2806777.2806851     Document Type: Conference Paper

References (25)

1. Scientific Computing Using Spot Instances. http://aws.amazon.com/ec2/spot-and-science/June 2013.
2. ClusterK. https://clusterk.com/July 10th 2015.
3. Google preemptible instances. https://cloud.google.com/compute/docs/instances/preemptible, July 10th 2015.
4. J. Barr. New-EC2 Spot Instance Termination Notices. https://aws.amazon.com/blogs/aws/new-ec2-spot-instance-termination-notices/January 6th 2015.
5. C. Clark, K. Fraser, S. Hand, J. Hansen, E. Jul, C. Limpach, I. Pratt, and A. Waeldr. Live Migration of Virtual Machines. In NSDI, May 2005.
6. B. Cully, G. Lefebvre, D. Meyer, M. Feeley, N. Hutchinson, and A.Warfield. Remus: High Availability via Asynchronous Virtual Machine Replication. In NSDI, April 2008.
7. S. Di, D. Kondo, and F. Cappello. Characterizing and Modeling Cloud Applications/Jobs on a Google Data Center. Supercomputing, 69(1), July 2014.
8. M. R. Hines, U. Deshpande, and K. Gopalan. Post-copy Live Migration of Virtual Machines. SIGOPS Operating Systems Review, 43(3), July 2009.
9. S. Khatua and N. Mukherjee. Application-centric Resource Provisioning for Amazon EC2 Spot Instances. In EuroPar, August 2013.
10. M. Mao and M. Humphrey. A Performance Study on VM Startup Time in the Cloud. In CLOUD, June 2012.
11. M. Mattess, C. Vecchiola, and R. Buyya. Managing Peak Loads by Leasing Cloud Infrastructure Services from a Spot Market. In HPCC, September 2010.
12. M. Mazzucco and M. Dumas. Achieving Performance and Availability Guarantees with Spot Instances. In HPCC, September 2011.
13. I. Menache, O. Shamir, and N. Jain. On-demand, Spot, or Both: Dynamic Resource Allocation for Executing Batch Jobs in the Cloud. In ICAC, 2014.
14. A. Mu'alem and D. Feitelson. Utilization, Predictability, Workloads, and User Runtime Estimates in Scheduling the IBM SP2 with Backfilling. TPDS, 12(6), June 2001.
15. C. Reiss, J. Wilkes, and J. L. Hellerstein. Google Clusterusage Traces: Format + Schema. Technical report, Google Inc., November 2011.
16. P. Sharma, S. Lee, T. Guo, D. Irwin, and P. Shenoy. SpotCheck: Designing a Derivative IaaS Cloud on the Spot Market. In EuroSys, April 2015.
17. R. Singh, D. Irwin, P. Shenoy, and K. Ramakrishnan. Yank: Enabling Green Data Centers to Pull the Plug. In NSDI, April 2013.
18. Y. Song, M. Zafer, and K. Lee. Optimal Bidding in Spot Instance Market. In Infocom, March 2012.
19. S. Tang, J. Yuan, and X. Li. Towards Optimal Bidding Strategy for Amazon EC2 Cloud Spot Instance. In CLOUD, June 2012.
20. D. Tsafrir, Y. Etsion, and D. Feitelson. Modeling User Runtime Estimates. In JSSP, 2005.
21. W. Voorsluys and R. Buyya. Reliable Provisioning of Spot Instances for Compute-Intensive Applications. In AINA, 2012.
22. S. Yi, D. Kondo, and A. Andrzejak. Reducing Costs of Spot Instances via Checkpointing in the Amazon Elastic Compute Cloud. In CLOUD, July 2010.
23. M. Zafer, Y. Song, and K. Lee. Optimal Bids for Spot VMs in a Cloud for Deadline Constrained Jobs. In CLOUD, 2012.
24. S. Zaman and D. Grosu. Efficient Bidding for Virtual Machine Instances in Clouds. In CLOUD, July 2011.
25. Q. Zhang, E. Gürses, R. Boutaba, and J. Xiao. Dynamic Resource Allocation for Spot Markets in Clouds. In HotICE, March 2011.