Efficient resource selection framework to enable cloud for HPC applications

Proceedings - 4th IEEE International Conference on Computer and Communication Technology, ICCCT 2013

Volumn , Issue , 2013, Pages 34-38

  Ashwini, J P ^a   Divya, C ^a   Sanjay, H A ^a  

^a NITTE MEENAKSHI INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Cloud Computing; Heterogeneous resources; HPC; k means Data Clustering

Indexed keywords

CLOUD COMPUTING; CLUSTERING ALGORITHMS; ELASTICITY;

BETTER PERFORMANCE; DATA CLUSTERING; HETEROGENEOUS RESOURCES; HIGH-PERFORMANCE COMPUTING APPLICATIONS; HPC; ON-DEMAND SERVICES; RESOURCE SELECTION; VIRTUALIZATION TECHNOLOGIES;

COMMUNICATION SYSTEMS;

EID: 84898415424     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCCT.2013.6749599     Document Type: Conference Paper

References (12)

1. Jaliya Ekanayake and Geoffrey Fox, High Performance Parallel Computing with Clouds and Cloud Technologies, First International Conference CloudComp on Cloud Computing October 19-21, 2009, Munich, Germany.
2. Raihan Masud, High Performance Computing with Cloud,ix. cs. uoregon. edu/~raihan/HPC-with-Clouds-Raihan-Ma sud. pdf.
3. http://www. hpcintheclouds. com
4. Danien Warneke and Odej Kao, Exploiting Dynamic Resource Allocation for Efficient Parallel Data Processing in the Cloud, Journal IEEE Transactions on Parallel and Distributed Systems (TPDS), Special Issue on Many-Task Computing, 2011.
5. Hyunjeong Yoo, Cinyoung Hur, Seoyoung Kim, and Yoonhee Kim, An ontology based resource allocation service on Science Cloud, International journal of Grid and Distributed Computing, Vol. 2, No. 4, December, 2009.
6. Paul Barham, Boris Dragovic, Keir Fraser, Steven Hand, Tim Harris, Alex Ho,Rolf Neugebauery, Ian Pratt, Andrew Warfield in SOSP'03, Xen and the art of virtualization, October 19. 22, 2003, Bolton Landing, New York, USA.
7. Nan Li, Yiming Li A study of Inter-Domain communication mechanisms on Xen-based hosting platforms, Advanced Topics in operating systems
8. Rich Wolski, Neil Spring, and Jim Hayes, The Network Weather Service : A Distributed Resource Performance Forecasting service for metacomputing, Journal of Future Generation Computing Systems, 15(5-6):757. 768, October 1999.
9. Shi Na,Liu Xumin, Research on k-means Clustering Algorithm : An Improved kmeans Clustering Algorithm, Third International Symposium on Intelligent, Information Technology and Security Informatics, 2010
10. Edward Walker;login, Benchmarking Amazon EC2 for High Performance Scientific Computing, October 2008, Volume 33, Number 5.
11. Zach Hill and Marty Humphrey, A quantitative analysis of High Performance Computing with Amazon's EC2 Infrastructure : The Death of the local cluster ,Proceedings of the 10th IEEE/ ACM International Conference on Grid Computing (Grid 2009). Oct 13-15 2009. Banff, Alberta, Canada.
12. Penguin on demand, http://www. penguincomputing. com/POD/Penguin-On- Demand