Seminar talk titled Exploiting the spatial dimension of Big Data Jobs for Efficient Cluster Job Scheduling
Title Of the Talk: Exploiting the spatial dimension of Big Data Jobs for Efficient Cluster Job Scheduling
Speaker: Akshay Jajoo
Host Faculty: Dr. Praveen T
Date &Time: Tuesday, 10th August 2021 16:30 - 18:00 Hrs
With the growing business impact of distributed big data analytics jobs, it has become crucial to optimize their execution and resource consumption. In this thesis, Akshay presents the first study that highlights spatial dimension, an inherent property of distributed jobs, and underscores its importance in efficient cluster job scheduling. They have developed two new classes of spatial dimension-based algorithms to address the two primary challenges of cluster scheduling. They have implemented three different job and network schedulers for cloud systems.
Akshay Jajoo is currently working as a Research Specialist for a research lab in the telecom industry. His research interest lies in Distributed Systems and Computer Networks. He has now started working on 5G and other telecommunication and ML research topics also. He recently (October 2020) graduated with a Ph.D. in computer science from Purdue University. Prior to that Akshay got his B.Tech in Computer Science and Engineering from IIT Guwahati. He was awarded Dr. Shankar Dayal Sharma gold medal for excellence in academics, leadership, and extra-curricular activities. He is also involved with an IIML incubated stealth mode startup and a tech consultancy company for research groups. Currently, Akshay is also serving on TCP of ICNP and a reviewer for IEEE Transactions on cloud computing.
Tuesday, 10th August 2021 16:30 - 18:00 Hrs