@article{b2a77bde9e294ad1b4caba374d424acf,
title = "Multiple workflows scheduling in multi-tenant distributed systems: A taxonomy and future directions",
abstract = "Workflows are an application model that enables the automated execution of multiple interdependent and interconnected tasks. They are widely used by the scientific community to manage the distributed execution and dataflow of complex simulations and experiments. As the popularity of scientific workflows continue to rise, and their computational requirements continue to increase, the emergence and adoption of multi-tenant computing platforms that offer the execution of these workflows as a service becomes widespread. This article discusses the scheduling and resource provisioning problems particular to this type of platform. It presents a detailed taxonomy and a comprehensive survey of the current literature and identifies future directions to foster research in the field of multiple workflow scheduling in multi-tenant distributed computing systems.",
keywords = "Multi-tenant platforms, Multiple workflows scheduling, Scientific workflows",
author = "Hilman, {Muhammad H.} and Rodriguez, {Maria A.} and Rajkumar Buyya",
note = "Funding Information: This research is partially supported by the LPDP (Indonesia Endowment Fund for Education) and Australia Research Council research grant. Funding Information: This research is partially supported by the LPDP (Indonesia Endowment Fund for Education) and Australia Research Council research grant. Authors{\textquoteright} address: M. H. Hilman, M. A. Rodriguez, and R. Buyya, Cloud Computing and Distributed Systems (CLOUDS) Laboratory, School of Computing and Information Systems, The University of Melbourne, Parkville, Melbourne, VIC, 3000, Australia; emails: hilmanm@student.unimelb.edu.au, {maria.rodriguez, rbuyya}@unimelb.edu.au. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. {\textcopyright} 2020 Copyright held by the owner/author(s). Publication rights licensed to ACM. 0360-0300/2020/02-ART10 $15.00 https://doi.org/10.1145/3368036 Publisher Copyright: {\textcopyright} 2020 Copyright held by the owner/author(s). Publication rights licensed to ACM.",
year = "2020",
month = feb,
doi = "10.1145/3368036",
language = "English",
volume = "53",
journal = "ACM Computing Surveys",
issn = "0360-0300",
publisher = "Association for Computing Machinery (ACM)",
number = "1",
}