Biblio

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[fg-627] Fox, G., MPI and MapReduce, , Clusters, Clouds, and Grids for Scientific Computing: Flat Rock, NC, 09/2010.
[fg-124] Smallen, S., Monitoring User-level Functionality and Performance Using Inca, , vol. CloudCom 2010, Conference Poster, 2010.
[fg-2762] Prathibha, S., "Monitoring the Performance Analysis Of Executing Workflow applications with different resource types in a cloud environment,", 1st International Symposium on Big Data and Cloud Computing Challenges(ISBCC-2014), VIT University, Chennai, India, March 27-28,2013.  Download: soma.pdf (408.18 KB)
[fg-2208] Lee, K., T. Choi, P. O. Boykin, and R. J. Figueiredo, "MatchTree: Flexible, Scalable, and Fault-tolerant Wide-area Resource Discovery with Distributed Matchmaking and Aggregation", Future Generation Computer Systems, vol. to be published , issue to be published , to be published , 2012.
[5719579] Chen, D., L. Wang, G. Ouyang, and X. Li, "Massively Parallel Neural Signal Processing on a Many-Core Platform", Computing in Science Engineering, vol. 13, no. 6, pp. 42 -51, nov.-dec., 2011.
[fg-2217] Lee, K., and R. J. Figueiredo, "MapReduce on Opportunistic Resources Leveraging Resource Availability", IEEE CloudCom 2012, Taipei, Taiwan, 12/2012.
[fg-2073] Gao, X., H. Li, and T. Gunarathne, "MapReduce and NOSQL Cloud Storage", Science Cloud Summer School 2012, Bloomington, IN, Indiana University, 07/2012.
[fg-2083] Ramakrishnan, L., "Magellan: Evaluating Cloud Computing for Science", Science Cloud Summer School 2012, Bloomington, IN, Lawrence Berkeley National Laboratory, 07/2012.  Download: Magellan.pdf (4.74 MB)