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Lalith Suresh
Researcher at VMware
Publications - 40
Citations - 1126
Lalith Suresh is an academic researcher from VMware. The author has contributed to research in topics: Computer science & Network packet. The author has an hindex of 13, co-authored 32 publications receiving 929 citations. Previous affiliations of Lalith Suresh include Telekom Innovation Laboratories & Instituto Superior Técnico.
Papers
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Proceedings ArticleDOI
Towards programmable enterprise WLANS with Odin
TL;DR: Odin, an SDN framework to introduce programmability in enterprise wireless local area networks (WLANs), builds on a light virtual AP abstraction that greatly simplifies client management and supports WPA2 Enterprise.
Proceedings Article
C3: cutting tail latency in cloud data stores via adaptive replica selection
TL;DR: The design and implementation of an adaptive replica selection mechanism, C3, that is robust to performance variability in the environment is presented and results show that C3 significantly improves the latencies along the mean, median, and tail and provides higher system throughput.
Proceedings Article
Programmatic orchestration of WiFi networks
TL;DR: Six WiFi network services on top of Odin are demonstrated including load-balancing, mobility management, jammer detection, automatic channel-selection, energy management, and guest policy enforcement, making it practical for today's deployments.
Proceedings Article
Remote regions: a simple abstraction for remote memory
Marcos K. Aguilera,Nadav Amit,Irina Calciu,Xavier Deguillard,Jayneel Gandhi,Stanko Novakovic,Arun Ramanathan,Pratap Subrahmanyam,Lalith Suresh,Kiran Tati,Rajesh Venkatasubramanian,Michael Wei +11 more
TL;DR: An intuitive abstraction for a process to export its memory to remote hosts, and to access the memory exported by others, is proposed in the Linux kernel and it is shown that remote regions are easy to use and perform close to RDMA.
Proceedings ArticleDOI
Remote memory in the age of fast networks
Marcos K. Aguilera,Nadav Amit,Irina Calciu,Xavier Deguillard,Jayneel Gandhi,Pratap Subrahmanyam,Lalith Suresh,Kiran Tati,Rajesh Venkatasubramanian,Michael Wei +9 more
TL;DR: This paper enumerates the challenges of remote memory, discusses their feasibility, explain how some of them are addressed by recent work, and indicates other promising ways to tackle them.