activity
20142022
most citedA Survey on Edge Performance Benchmarking

2 citations · 3 across the 4 of their papers we have counts for

collaborators

6 papers

cs.DC2022

Cost-effective BlackWater Raft on Highly Unreliable Nodes at Scale Out

Zichen Xu, Yunxiao Du, Kanqi Zhang +4

The Raft algorithm maintains strong consistency across data replicas in Cloud. This algorithm divides nodes into leaders and followers, to satisfy read/write requests spanning geo-…

cs.SE2021

Avis: In-Situ Model Checking for Unmanned Aerial Vehicles

Max Taylor, Haicheng Chen, Feng Qin +1

Control firmware in unmanned aerial vehicles (UAVs) uses sensors to model and manage flight operations, from takeoff to landing to flying between waypoints. However, sensors can fa…

cs.DC2021

Early Work on Efficient Patching for Coordinating Edge Applications

Naveen T. R. Babu, Christopher Stewart

Multiple applications running on Edge computers can be orchestrated to achieve the desired goal. Orchestration of applications is prominent when working with Internet of Things bas…

cs.DC2020★ 2 cited

A Survey on Edge Performance Benchmarking

Blesson Varghese, Nan Wang, David Bermbach +4

Edge computing is the next Internet frontier that will leverage computing resources located near users, sensors, and data stores to provide more responsive services. Therefore, it…

cs.DC2015★ 1 cited

Measuring and Managing Answer Quality for Online Data-Intensive Services

Jaimie Kelley, Christopher Stewart, Nathaniel Morris +3

Online data-intensive services parallelize query execution across distributed software components. Interactive response time is a priority, so online query executions return answer…

cs.DC2014

An Efficient and Balanced Platform for Data-Parallel Subsampling Workloads

Sundeep Kambhampati, Christopher Stewart

With the advent of internet services, data started growing faster than it can be processed. To personalize user experience, this enormous data has to be processed in real time, in…