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Orchestrating big data analysis workflows in the cloud: research challenges, survey, and future directions
journal contribution
posted on 2023-05-20, 03:43 authored by Barika, M, Saurabh GargSaurabh Garg, Zomaya, AY, Wang, L, van Moorsel, A, Ranjan, RInterest in processing big data has increased rapidly to gain insights that can transform businesses, government policies and research outcomes. This has led to advancement in communication, programming and processing technologies, including Cloud computing services and technologies such as Hadoop, Spark and Storm. This trend also affects the needs of analytical applications, which are no longer monolithic but composed of several individual analytical steps running in the form of a workflow. These Big Data Workflows are vastly different in nature from traditional workflows. Researchers are currently facing the challenge of how to orchestrate and manage the execution of such workflows. In this paper, we discuss in detail orchestration requirements of these workflows as well as the challenges in achieving these requirements. We also survey current trends and research that supports orchestration of big data workflows and identify open research challenges to guide future developments in this area.
History
Publication title
ACM Computing SurveysVolume
52Issue
5Article number
95Number
95Pagination
1-41ISSN
0360-0300Department/School
School of Information and Communication TechnologyPublisher
Assoc Computing MachineryPlace of publication
1515 Broadway, New York, USA, Ny, 10036Rights statement
Copyright 2019 Association for Computing MachineryRepository Status
- Restricted