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Elasticity management of Streaming Data Analytics Flows on clouds

Lookup NU author(s): Professor Raj Ranjan

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

© 2016 Elsevier Inc. In this paper, we present a framework for resource management of Streaming Data Analytics Flows (SDAF). Using advanced techniques in control and optimization theory, we design an adaptive control system tailored to the data ingestion, analytics, and storage layers of the SDAF that is able to continuously detect and self-adapt to workload changes for meeting the users' service level objectives. Our experiments based on a real-world SDAF show that, the proposed control scheme is able to reduce the deviation from desired utilization of resources by up to 48% compared to existing techniques.


Publication metadata

Author(s): Khoshkbarforoushha A, Khosravian A, Ranjan R

Publication type: Article

Publication status: Published

Journal: Journal of Computer and System Sciences

Year: 2017

Volume: 89

Pages: 24-40

Print publication date: 01/11/2017

Online publication date: 29/11/2016

Acceptance date: 07/11/2016

Date deposited: 20/08/2017

ISSN (print): 0022-0000

ISSN (electronic): 1090-2724

Publisher: Academic Press Inc.

URL: https://doi.org/10.1016/j.jcss.2016.11.002

DOI: 10.1016/j.jcss.2016.11.002


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