@inproceedings{a771474025834f1f959f430c71b36bdb,
title = "StreamSight: A query-driven framework for streaming analytics in edge computing",
abstract = "Edge computing is the emerging architectural paradigm extending cloud technologies to the logical extremes of the network for on-demand and delay-sensitive services. However, once service placement on edge-enabling resources has been dealt with, a new challenge arises: how to process enormous volumes of streaming data to provide query-driven analytics while still satisfying the delay-critical servicing requirements. To overcome this challenge we introduce StreamSight, a framework for edge-enabled IoT services which provides a rich and declarative query model abstraction for expressing complex analytics on monitoring data streams and then dynamically compiling these queries into stream processing jobs for continuous execution on distributed processing engines. To overcome the resource restrictive barriers in edge computing deployments, StreamSight outputs the query execution plan so that intermediate results are reused and not continuously recomputed. In turn, StreamSight enables users to express various optimization strategies (e.g., approximate answers, query prioritization) and constraints (e.g., sample size, error-bounds) so that delay-sensitive requirements relevant to the deployment are not violated. We evaluate our framework on Apache Spark with real-world workloads and show that leveraging StreamSight can significantly increase performance by at least 4× while still satisfying all accuracy guarantees.",
keywords = "Big Data, Cloud Computing, Edge Computing, Query Execution, Stream Processing",
author = "Zacharias Georgiou and Moysis Symeonides and Demetris Trihinas and George Pallis and Dikaiakos, {Marios D.}",
year = "2019",
month = jan,
day = "4",
doi = "10.1109/UCC.2018.00023",
language = "English",
series = "Proceedings - 11th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "143--152",
editor = "Josef Spillner and Alan Sill",
booktitle = "Proceedings - 11th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2018",
note = "11th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2018 ; Conference date: 17-12-2018 Through 20-12-2018",
}