activity
20182021
most citedRipple: A Practical Declarative Programming Framework for Serverless Compute

11 citations · 27 across the 10 of their papers we have counts for

collaborators

15 papers

cs.AR2021

Dagger: Accelerating RPCs in Cloud Microservices Through Tightly-Coupled Reconfigurable NICs

Nikita Lazarev, Shaojie Xiang, Neil Adit +2

The ongoing shift of cloud services from monolithic designs to microservices creates high demand for efficient and high performance datacenter networking stacks, optimized for fine…

cs.DC2021

Sinan: Data-Driven, QoS-Aware Cluster Management for Microservices

Yanqi Zhang, Weizhe Hua, Zhuangzhuang Zhou +2

Cloud applications are increasingly shifting from large monolithic services, to large numbers of loosely-coupled, specialized microservices. Despite their advantages in terms of fa…

cs.DC20213 cited

Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices

Yu Gan, Mingyu Liang, Sundar Dev +2

Cloud applications are increasingly shifting from large monolithic services to complex graphs of loosely-coupled microservices. Despite the advantages of modularity and elasticity…

cs.AR2020

CuttleSys: Data-Driven Resource Management forInteractive Applications on Reconfigurable Multicores

Neeraj Kulkarni, Gonzalo Gonzalez-Pumariega, Amulya Khurana +3

Multi-tenancy for latency-critical applications leads to re-source interference and unpredictable performance. Core reconfiguration opens up more opportunities for colocation,as it…

cs.AR20201 cited

Dagger: Towards Efficient RPCs in Cloud Microservices with Near-Memory Reconfigurable NICs

Nikita Lazarev, Neil Adit, Shaojie Xiang +2

Cloud applications are increasingly relying on hundreds of loosely-coupled microservices to complete user requests that meet an applications end-to-end QoS requirements. Communicat…

cs.DC202010 cited

HiveMind: A Scalable and Serverless Coordination Control Platform for UAV Swarms

Justin Hu, Ariana Bruno, Brian Ritchken +4

Swarms of autonomous devices are increasing in ubiquity and size. There are two main trains of thought for controlling devices in such swarms; centralized and distributed control.…