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Ajit Chavan
Visiting Assistant Professor of Computer Science

Ajit is interested in parallel and distributed systems. Distributed systems are usually deployed when task at hand cannot be completed in required time using a single computer. He's also interested in developing big data applications and designing an infrastructure to allow storing and processing huge amount of data. Ajit teaches different courses such as Data Structures, Computer Algorithms, and Parallel & Distributed Systems. His most recently published work is in the area of thermal management in the cluster computing.  

 

Contact Info

Campus Mail
Drawer 138

Phone
765-983-1239

E-mail

Office
208 Center for Science and Technology

Office Hours
Open door

Programs/Departments

  • Computer Science

Degrees

  • Ph.D., Auburn University
  • B.S., Shivaji University (India)

Selected Courses:

CS 256 Data Structures

CS 310 Computer Algorithms

CS 360 Parallel & Distributed Systems

CS 410 Networks and Networking

Parallel and Distributed Computing, Cluster Computing, Big Data, Data Science, Computer Infrastructure, High Performance Computing, Performance evaluation, Load balancing and resource allocation.

Thermal-Aware File Allocation in Storage Cluster: This study is aimed at investigating the impact of file allocation on the thermal profile of the storage cluster. We developed a file allocation policy- to reduce cooling cost of the storage clusters by minimizing the heat re-circulation in data center.

Thermal-Aware Resource Allocation in YARN: In this study, we explore opportunities of managing thermal profile of data centers housing Hadoop clusters. We developed a scheduling policy to reduce the cooling cost of the data centers.

Chavan, A.; Xunfei Jiang; Alghamdi, M.I.; Xiao Qin; Minghua Jiang; Jifu Zhang, "TIGER: Thermal-aware file assignment in storage clusters," Mass Storage Systems and Technologies (MSST), 2013 IEEE 29th Symposium on, vol., no., pp.1,5, 6-10 May 2013.

Chavan, A.; Alghamdi, M.I.; Jiang, X.; Qin, X.; Qiu, M.; Jiang, M.; Zhang, J., "TIGER: Thermal-Aware File Assignment in Storage Clusters," in Parallel and Distributed Systems, IEEE Transactions on, vol.27, no.2, pp.558-573, Feb. 1 2016. doi: 10.1109/TPDS.2015.2409872.

S. Taneja, A. Chavan, Y. Zhou, X. Qin, “Thermal Profiling and Modeling of Hadoop Clusters using Big Data Applications,” in Foundations of Big Data Computing, International Workshop on, in conjunction with High Performance Computing, 2017.

T. Muzaffar, M. I. Alghamdi, A. Chavan, X. Jiang, X. Qin, J. Zhang, M. Qiu, and M. Jiang. “iTad: I/O Thermal Aware Data Center Model,” in Proceedings of the IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom),2014

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Earlham College, an independent, residential college, aspires to provide the highest-quality undergraduate education in the liberal arts, including the sciences, shaped by the distinctive perspectives of the Religious Society of Friends (Quakers).

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