Efficient scientific workflow scheduling for deadline-constrained parallel tasks in cloud computing environments

DOI10.1016/J.INS.2020.04.039zbMath1459.68025OpenAlexW3025679134MaRDI QIDQ2023158

Longxin Zhang, Ahmad Salah, Li-Qian Zhou

Publication date: 3 May 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.04.039

zbMATH Keywords

makespanresource managementcloud computingdeadlinedirected acyclic graph (DAG)

Mathematics Subject Classification ID

Performance evaluation, queueing, and scheduling in the context of computer systems (68M20) Internet topics (68M11)

Uses Software

• Unnamed Item
• Hadoop
• Spark
• FlinkCL

Cites Work

• FlinkCL: An OpenCL-Based In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data
• A Novel Security-Driven Scheduling Algorithm for Precedence-Constrained Tasks in Heterogeneous Distributed Systems
• Unnamed Item

This page was built for publication: Efficient scientific workflow scheduling for deadline-constrained parallel tasks in cloud computing environments