Deadline-constrained workflow scheduling algorithms for Infrastructure as a Service Clouds

By Saeid Abrishami, Mahmoud Naghibzadeh, Dick H. J. Epema. Future generations computer systems, 2013

518 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/963fffd1e48466f767cc760c16069356fdbfc126

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. D. Manjula
2. Vijayan Sugumaran
3. A. Arunarani

In Information Systems

1. D. Manjula
2. Vijayan Sugumaran
3. A. Arunarani

In Information Systems and Management

1. D. Manjula
2. Vijayan Sugumaran
3. A. Arunarani

Citations in the corpus

• Characterizing and profiling scientific workflows (2013, unknown): “optimize workflow execution [19–22].”
• Task scheduling techniques in cloud computing: A literature survey (2019, methodology): “[64] presented deadline-constrained workflow scheduling algorithms for Infrastructure as a Service.”
• Computer Science Review (unknown): “Additionally, the authors incorporated a Partial Critical Path(PCP) approach [124], which partitions the task graph into sequences, assigning each sequence to an individual edge device to reduce transfer time.”