مشاهده مشخصات مقاله
An Improved Ant Algorithm for Grid Scheduling Problem
|
Authors |
-
Jamshid Bagherzadeh
-
Mojtaba MadadyarAdeh
|
|
Conference |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
|
Abstract |
Grid computing is a promising technology for
future computing platforms and is expected to provide
easier access to remote computational resources that are
usually locally limited. Scheduling is one of the active
research topics in grid environments. The goal of grid task
scheduling is to achieve high system throughput and to
allocate various computing resources to applications. The
Complexity of scheduling problem increases with the size of
the grid and becomes highly difficult to solve effectively.
Many different methods have been proposed to solve this
problem. Some of these methods are based on heuristic
techniques that provide an optimal or near optimal solution
for large grids. In this paper we introduce a new task
scheduling algorithm based on Ant Colony Optimization
(ACO). According to the experimental results, the proposed
algorithm confidently demonstrates its competitiveness with
previously proposed algorithms. |
|
قیمت |
-
برای اعضای سایت : 100,000 Rial
-
برای دانشجویان عضو انجمن : 20,000 Rial
-
برای اعضای عادی انجمن : 40,000 Rial
|
خرید مقاله
|
|
.gif){kind=icon}