13 citations · 15 across the 2 of their papers we have counts for
5 papers
PL2: Towards Predictable Low Latency in Rack-Scale Networks
Yanfang Le, Radhika Niranjan Mysore, Lalith Suresh +4
High performance rack-scale offerings package disaggregated pools of compute, memory and storage hardware in a single rack to run diverse workloads with varying requirements, inclu…
Automating Cluster Management with Weave
Lalith Suresh, Joao Loff, Faria Kalim +7
Modern cluster management systems like Kubernetes and Openstack grapple with hard combinatorial optimization problems: load balancing, placement, scheduling, and configuration. Cur…
Hillview: A trillion-cell spreadsheet for big data
Mihai Budiu, Parikshit Gopalan, Lalith Suresh +3
Hillview is a distributed spreadsheet for browsing very large datasets that cannot be handled by a single machine. As a spreadsheet, Hillview provides a high degree of interactivit…
Stable and Consistent Membership at Scale with Rapid
Lalith Suresh, Dahlia Malkhi, Parikshit Gopalan +2
We present the design and evaluation of Rapid, a distributed membership service. At Rapid's core is a scheme for multi-process cut detection (CD) that revolves around two key insig…
Elmo: Source-Routed Multicast for Cloud Services
Muhammad Shahbaz, Lalith Suresh, Jen Rexford +3
We present Elmo, a system that addresses the multicast scalability problem in multi-tenant data centers. Modern cloud applications frequently exhibit one-to-many communication patt…