Task deployment recommendation with worker availability

Document Type

Conference Proceeding

Publication Date

4-1-2020

Abstract

We study recommendation of deployment strategies to task requesters that are consistent with their deployment parameters: a lower-bound on the quality of the crowd contribution, an upper-bound on the latency of task completion, and an upper-bound on the cost incurred by paying workers. We propose BatchStrat, an optimization-driven middle layer that recommends deployment strategies to a batch of requests by accounting for worker availability. We develop computationally efficient algorithms to recommend deployments that maximize task throughput and pay-off, and empirically validate its quality and scalability.

Identifier

85085866156 (Scopus)

ISBN

[9781728129037]

Publication Title

Proceedings International Conference on Data Engineering

External Full Text Location

https://doi.org/10.1109/ICDE48307.2020.00175

ISSN

10844627

First Page

1806

Last Page

1809

Volume

2020-April

Grant

1814595

Fund Ref

Office of Naval Research

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