I currently work as a Senior Protection Engineer at Barkly. We provide strong endpoint security that is easy to administer. My primary focus is to find and research current threats and design and develop systems that add more protection to our systems.
I have a Ph.D. from The George Washington University under the advisement of Dr. Timothy wood. My area of focus was Performance, Utilization and Security of Cloud Systems.
I love working on complex technical problems. I have a strong understanding of Operating Systems, how the software interacts with the hardware that gives me an edge over a typical programmer in designing and implementing secure software systems.
I love mentoring/teaching students and working with them. Love to travel and visit universities and startups to give talks (mostly about my research) and motivate people.
I'm a Language enthusiast. Avid and a quick learner. I'm quick on my feet when it comes to learning and implementing new technology. Love researching about systems, looking into the unknown and pushing the envelope.
More formally, my research focus is on virtual machines and operating systems, combining a deep understanding of resource management in the cloud and systems security issues with expertise in developing systems with real-world impact. I’ve designed systems that:
The systems I have designed has been widely adopted and used.
Scalable Cloud Security via Asynchronous Virtual Machine Introspection. Sundaresan Rajasekaran, Zhen Ni, Harpreet Singh Chawla, Neel Shah, Timothy Wood, Emery Berger. 8th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 16), June 2016. PDF CODE
Multi-Cache: Dynamic, Efficient Partitioning for Multi-Tier Caches in Consolidated VM Environments. Sundaresan Rajasekaran, Shaohua Duan, Wei Zhang, Timothy Wood. IEEE International Conference on Cloud Engineering (IC2E), April 2016. PDF CODE
MIMP: Deadline and Interference Aware Scheduling of Hadoop Virtual Machines. Wei Zhang, Sundaresan Rajasekaran, Timothy Wood, Mingfa Zhu. IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 2014. PDF CODE
Big Data in the Background: Maximizing Productivity while Minimizing Virtual Machine Interference. Wei Zhang, Sundaresan Rajasekaran, Timothy Wood. Workshop on Architectures and Systems for Big Data, June 2013. PDF
On Skyline Groups. Chengkai Li, Nan Zhang, Naeemul Hassan, Sundaresan Rajasekaran, and Gautam Das. Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), 2012. PDF Extended-PDF
Swiper: Exploiting Virtual Machine Vulnerability in Third-Party Clouds with Competition for I/O Resources.. Ron C. Chiang, Sundaresan Rajasekaran, Nan Zhang, H. Howie Huang. IEEE Transactions on Parallel and Distributed Systems (TPDS). June 2015. PDF
Minimizing Interference and Maximizing Progress for Hadoop Virtual Machines. Wei Zhang, Sundaresan Rajasekaran, Shaohua Duan, Timothy Wood, Mingfa Zhu. ACM SIGMETRICS Performance Evaluation Review, March 2015. PDF CODE
On Skyline Groups. Nan Zhang, Chengkai Li, Naeemul Hassan, Sundaresan Rajasekaran, and Gautam Das. IEEE Transactions on Knowledge and Data Engineering (TKDE), April 2014. PDF