activity
20122020
most citedFair Task Allocation in Crowdsourced Delivery

74 citations · 82 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2020

A Cloud Native Platform for Stateful Streaming

Scott Schneider, Xavier Guerin, Shaohan Hu +1

We present the architecture of a cloud native version of IBM Streams, with Kubernetes as our target platform. Streams is a general purpose streaming system with its own platform fo…

cs.LG2019★ 4 cited

Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning

Xiang Ni, Jing Li, Mo Yu +2

This paper considers the problem of resource allocation in stream processing, where continuous data flows must be processed in real time in a large distributed system. To maximize…

cs.MA2018★ 74 cited

Fair Task Allocation in Crowdsourced Delivery

Fuat Basik, Bugra Gedik, Hakan Ferhatosmanoglu +1

Faster and more cost-efficient, crowdsourced delivery is needed to meet the growing customer demands of many industries, including online shopping, on-demand local delivery, and on…

cs.DS2016★ 4 cited

Work-Efficient Parallel and Incremental Graph Connectivity

Natcha Simsiri, Kanat Tangwongsan, Srikanta Tirthapura +1

On an evolving graph that is continuously updated by a high-velocity stream of edges, how can one efficiently maintain if two vertices are connected? This is the connectivity probl…

cs.DB2012

Building User-defined Runtime Adaptation Routines for Stream Processing Applications

Gabriela Jacques-Silva, Buğra Gedik, Rohit Wagle +2

Stream processing applications are deployed as continuous queries that run from the time of their submission until their cancellation. This deployment mode limits developers who ne…