Title :
A Workflow Scheduling Algorithm for Optimizing Energy-Efficient Grid Resources Usage
Author :
Coutinho, Fábio ; de Carvalho, L.A.V. ; Santana, Renato
Author_Institution :
COPPE-Grad. Sch. & Res. in Eng., UFRJ-Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
Abstract :
Grid computing represents the main solution to integrate distributed and heterogeneous resources in global scale. However, the infrastructure necessary for maintaining a global grid in production is huge. Such fact has led to excessive power consumption. On the other hand, most green strategies for data centers are DVS (Dynamic Voltage Scaling)-based and become difficult to implement them in global grids. This paper proposes the HGreen heuristic (Heavier Tasks on Maximum Green Resource) and defines a workflow scheduling algorithm in order to implement it on global grids. HGreen algorithm aims to prioritize energy-efficient resources and explores workflow application profiles. Simulation results have shown that the proposed algorithm can significantly reduce the power consumption in global grids.
Keywords :
computer centres; grid computing; optimisation; power aware computing; scheduling; workflow management software; HGreen algorithm; HGreen heuristic; data center; dynamic voltage scaling; energy-efficient grid resource usage optimization; global grid computing; heterogeneous resource; power consumption; workflow scheduling algorithm; Air pollution; Algorithm design and analysis; Benchmark testing; Educational institutions; Energy efficiency; Green products; Scheduling algorithm; Grid computing; green computing; scheduling; scientific workflow;
Conference_Titel :
Dependable, Autonomic and Secure Computing (DASC), 2011 IEEE Ninth International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4673-0006-3
DOI :
10.1109/DASC.2011.115
