Alternative mixed integer linear programming optimization for joint job scheduling and data allocation in grid computing
Authors:
- Shengyu FengSFShengyu Feng
- Jaehyung KimJKJaehyung Kim
- Yiming YangYYYiming Yang
- Joseph BoudreauJBJoseph Boudreau
- Tasnuva ChowdhuryTCTasnuva Chowdhury
- Adolfy HoisieAHAdolfy Hoisie
- Raees KhanRKRaees Khan
- Ozgur O. KilicOKOzgur O. Kilic
- Scott KlaskySKScott Klasky
- Tatiana KorchuganovaTKTatiana Korchuganova
- Paul NilssonPNPaul Nilsson
- Verena Ingrid Martinez OutschoornVOVerena Ingrid Martinez Outschoorn
Open Access
- 18 August 2025
- journal article
- Published by Elsevier in Future Generation Computer Systems
- Vol. 175
Abstract
No abstract availableAll Related Versions
Funding Information
- Advanced Scientific Computing Research (DE-SC-0012704)
- Office of Science
- U.S. Department of Energy
- University of Texas at Arlington
This publication has 35 references indexed in Scilit:
- Coordinate descent algorithmsMathematical Programming, 2015
- A Bee Colony based optimization approach for simultaneous job scheduling and data replication in grid environmentsComputers & Operations Research, 2013
- Genetic algorithm in finding Pareto frontier of optimizing data transfer versus job execution in gridsConcurrency and Computation: Practice and Experience, 2012
- A survey of dynamic replication strategies for improving data availability in data gridsFuture Generation Computer Systems, 2012
- Computational models and heuristic methods for Grid scheduling problemsFuture Generation Computer Systems, 2010
- SCIP: solving constraint integer programsMathematical Programming Computation, 2009
- Job scheduling and data replication on data gridsFuture Generation Computer Systems, 2007
- Data Intensive and Network Aware (DIANA) Grid SchedulingJournal of Grid Computing, 2007
- The impact of data replication on job scheduling performance in the Data GridFuture Generation Computer Systems, 2006
- A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing SystemsJournal of Parallel and Distributed Computing, 2001