An Ant Colony Optimization Approach to a Grid Workflow Scheduling Problem With Various QoS Requirements
By Wei-neng Chen, Jun Zhang. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), 2009
383 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Industrial and Manufacturing Engineering, Information Systems
View Paper: https://www.semanticscholar.org/paper/a58663ab3e15a27a60df217a8b3466da4bd764b7
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
- Yun Yang
- Dong Yuan
- Xiao Liu
- Zhiwei Ni
- Zhangjun Wu
- Maria Alejandra Rodriguez
- Rajkumar Buyya
- Anton Beloglazov
In Industrial and Manufacturing Engineering
In Information Systems
- Maria Alejandra Rodriguez
- Rajkumar Buyya
- Anton Beloglazov
- Rodrigo Neves Calheiros
- R. Ranjan
- Blesson Varghese
- Yonggang Wen
- Miyuru Dayarathna
Citations in the corpus
- Deadline Based Resource Provisioningand Scheduling Algorithm for Scientific Workflows on Clouds (2014, methodology): “For instance, Rahman et al. [9] propose a solution based on the workflow's dynamic critical paths, Chen and Zhang [10] elaborate an algorithm based on ant colony optimization that aims to meet different user QoS requirements and, finally, Yu and Buyya use Genetic Algorithms to implement a budget con”
- Evolutionary Multi-Objective Workflow Scheduling in Cloud (2016, neutral): “F”
- A market-oriented hierarchical scheduling strategy in cloud workflow systems (2011, methodology): “The work in [10] proposes an ant colony optimisation approach to address scientific workflow scheduling problems with various QoS requirements such as reliability constraints, makespan constraints and cost constraints.”