A Genetic Algorithm for Static Load Balancing in Parallel Heterogeneous Systems
نویسندگان
چکیده
منابع مشابه
Static Task Allocation in Distributed Systems Using Parallel Genetic Algorithm
Over the past two decades, PC speeds have increased from a few instructions per second to several million instructions per second. The tremendous speed of today's networks as well as the increasing need for high-performance systems has made researchers interested in parallel and distributed computing. The rapid growth of distributed systems has led to a variety of problems. Task allocation is a...
متن کاملA Genetic Algorithm Based Dynamic Load Balancing Scheme for Heterogeneous Distributed Systems
Load balancing is a crucial issue in parallel and distributed systems to ensure fast processing and optimum utilization of computing resources. Load balancing strategies try to ensure that every processor in the system does almost the same amount of work at any point of time. This paper investigates dynamic loadbalancing algorithm for heterogeneous distributed systems where half of the processo...
متن کاملA genetic-fuzzy logic based load balancing algorithm in heterogeneous distributed systems
Distributed processing is recognized as a practical way to achieve high performance in various computational applications. Many dynamic loadbalancing algorithms have been proposed for parallel and discrete simulations. But the actual performances of these algorithms have been far from ideal, especially in the heterogeneous environment. In this paper, a hybrid approach using fuzzy supervised lea...
متن کاملLoad Balancing in Heterogeneous Distributed Computing Systems using Approximation Algorithm
Approximation algorithms have been used to design polynomial time algorithms for intractable problems that provide solutions within the bounded proximity of the optimal solution. Load balancing problem on Heterogeneous Distributed Computing System (HDCS) deals with allocation of tasks to computing nodes, so that computing nodes are evenly loaded. Load-balancing algorithms are attempts to comput...
متن کاملA Parallel Genetic Algorithm Based Method for Feature Subset Selection in Intrusion Detection Systems
Intrusion detection systems are designed to provide security in computer networks, so that if the attacker crosses other security devices, they can detect and prevent the attack process. One of the most essential challenges in designing these systems is the so called curse of dimensionality. Therefore, in order to obtain satisfactory performance in these systems we have to take advantage of app...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia - Social and Behavioral Sciences
سال: 2014
ISSN: 1877-0428
DOI: 10.1016/j.sbspro.2014.03.688