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Seetharami R Seelam
IBM T. J. Watson Research Center
Yorktown Heights, New York

Seetharami R. Seelam currently works at IBM Research in New York on large-scale distributed systems management and resource management issues. He received his PhD in computer science from the University of Texas at El Paso in 2006.

His research interests are in large-scale parallel and distributed systems, including operating systems, storage and I/O systems, performance characterization, modeling and analysis with tools and technologies, and computer architecture. He has had over 15 papers published in international conference proceedings and journals, and has filed three patents. He has been a reviewer for Computing Reviews since 2002.

During his free time, he enjoys reading, watching comedy shows on TV, riding his bicycle, running, and several other activities.

	Reviews by Seetharami R Seelam

	SOPA: selecting the optimal caching policy adaptively Wang Y., Shu J., Zhang G., Xue W., Zheng W. ACM Transactions on Storage 6(2): 1-18, 2010. Type: Article Wang et al. describe a framework for adaptively selecting input/output (I/O) caching policy when given a set of policies. The main idea is to capture a set of policies and the data required, in the form of a module, and select a policy...

	Design a cloud storage platform for pervasive computing environments Zheng W., Xu P., Huang X., Wu N. Cluster Computing 13(2): 141-151, 2010. Type: Article Technological innovations, such as the iPad, the iPhone, and the digital video recorder (DVR), along with the advancement of network infrastructure are enabling consumers to access data on a real-time basis. The storage platform that h...

	Service level agreement for multithreaded processors Gabor R., Mendelson A., Weiss S. ACM Transactions on Architecture and Code Optimization 6(2): 1-33, 2009. Type: Article Multithreaded processors brought in the era where multiple processor threads not only share the memory storage space, as in symmetric multiprocessing (SMP) systems, but also share functional units such as pipelines, registers, and L1 c...

	General store placement for response time minimization in parallel disks Verma A., Anand A. Journal of Parallel and Distributed Computing 67(12): 1286-1300, 2007. Type: Article Response time is key in data storage architecture. This paper presents a novel formulation of the N data store placement across M disks problem that minimizes the average response time of all serve...

	Finding a suitable system scale to optimize program performance on software DSM systems Zhuang Y., Chang J., Liang T., Shieh C., Yang L. Cluster Computing 9(3): 223-236, 2006. Type: Article In software distributed shared memory (DSM) systems, a larger number of processors allocated to an application does not always result in corresponding improvements in its execution time. In some instances, more processors may be counte...

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