Modeling agent-based load balancing with time delays

2004 ◽  
Author(s):  
Yuanshi Wang ◽  
Jiming Liu ◽  
Xiaolong Jin
Keyword(s):  
Load Balancing ◽  
Time Delays ◽  
Agent Based

Load balancing instabilities due to time delays in parallel computations

2001 ◽  
Vol 34 (23) ◽  
pp. 175-179 ◽  
Author(s):  
Chaouki Abdallah ◽  
J. Douglas Birdwell ◽  
John Chiasson ◽  
Victor Chupryna ◽  
Zhong Tang ◽  
...  
Keyword(s):  
Load Balancing ◽  
Time Delays ◽  
Parallel Computations

scholarly journals Agent Based Load Balancing in Grid Computing

2020 ◽  
Author(s):  
Wided Ali ◽  
Fatima Bouakkaz
Keyword(s):  
Load Balancing ◽  
Heterogeneous Systems ◽  
Agent Based ◽  
Selection Policy ◽  
Development Framework ◽  
Policy Selection ◽  
Proposed Model ◽  
Multi Agent ◽  
Location Policy ◽  
System Characteristics

Load-Balancing is an important problem in distributed heterogeneous systems. In this paper, an Agent-based load-balancing model is developed for implementation in a grid environment. Load balancing is realized via migration of worker agents from overloaded resources to underloaded ones. The proposed model purposes to take benefit of the multi-agent system characteristics to create an autonomous system. The Agent-based load balancing model is implemented using JADE (Java Agent Development Framework) and Alea 2 as a grid simulator. The use of MAS is discussed, concerning the solutions adopted for gathering information policy, location policy, selection policy, worker agents migration, and load balancing.

Autonomic Networking

2008 ◽  
pp. 72-78
Author(s):  
Pantelis N. Karamolegkos ◽  
Charalampos Patrikakis ◽  
Emmanuel Protonotarios
Keyword(s):  
Load Balancing ◽  
Swarm Intelligence ◽  
Resource Discovery ◽  
Distributed Hash Tables ◽  
Hash Tables ◽  
Autonomic Networking ◽  
Agent Based ◽  
Computer Communication ◽  
Novel Algorithms ◽  
Innovative Techniques

The term “autonomic networking” refers to a recently emerged communications paradigm, that uses distributed techniques (swarm intelligence based methods) and distributed hash tables to implement traditional functionalities of networking, including among others routing, service and resource discovery, addressing, load balancing etc. The shift of interest towards the autonomic networking approach has been mainly motivated by the pervasion of novel algorithms into relevant fields of computer communication science. These innovative techniques have been greatly alleviated by their fusion with already established solutions and applications (i.e. agent-based systems, network middleware development etc) so as to form a new ever-evolving landscape in networking.

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