Shubbhi Taneja

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In this study, we develop a thermal-aware job scheduling strategy called tDispatch tailored for MapReduce applications running on Hadoop clusters. The scheduling idea of tDispatch is motivated by a profiling study of CPU-intensive and I/O-intensive jobs from the perspective of thermal efficiency. More specifically, we investigate the thermal behaviors of(More)
In this paper, we propose an erasure-coded data archival system called <italic>aHDFS</italic> for Hadoop clusters, where <inline-formula><tex-math notation="LaTeX">$RS(k+r,k)$</tex-math><alternatives> <inline-graphic xlink:href="chen-ieq1-2706686.gif"/></alternatives></inline-formula> codes are employed to archive data replicas in the Hadoop distributed(More)
In this paper, we propose a toolkit called EDOM facilitating the evaluation and optimization of energy-efficient multicore-based database systems. Two core components in EDOM are a benchmarking toolkit and a multicore manager to improve energy efficiency of database systems running on multicore servers. At the heart of the multicore manager is a memory(More)
In this paper, we discuss our contribution to the field of computer science and education technology through various projects we have designed and implemented at Auburn University. We begin by introducing a very successful computer proficiency course called Personal Computer Applications (PCA). The goal of this course is not only to impart useful computer(More)
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