Malicious Workers Tolerance in an Agent-Based Grid Resource Brokering System -- Preliminary Considerations

2014 ◽  
Author(s):  
Naoual Attaoui ◽  
Mohammad Essaaidi ◽  
Marcin Paprzycki ◽  
Maria Ganzha
Keyword(s):  
Grid Resource ◽  
Agent Based ◽  
Resource Brokering

scholarly journals Multiple equivalent simultaneous offers strategy in an agent-based grid resource brokering system - initial considerations

2013 ◽  
Vol 14 (2) ◽  
Author(s):  
Naoual Attaoui ◽  
Maria Ganzha ◽  
Marcin Paprzycki ◽  
Katarzyna Wasielewska ◽  
Mohammad Essaaidi
Keyword(s):  
Grid Resource ◽  
Agent Based ◽  
Resource Brokering

Information Flow and Mirroring in an Agent-Based Grid Resource Brokering System

2010 ◽  
pp. 475-482
Author(s):  
Maria Ganzha ◽  
Marcin Paprzycki ◽  
Michal Drozdowicz ◽  
Mehrdad Senobari ◽  
Ivan Lirkov ◽  
...  
Keyword(s):  
Information Flow ◽  
Grid Resource ◽  
Agent Based ◽  
Resource Brokering

Negotiations in an Agent-based Grid Resource Brokering System

2011 ◽  
pp. 355-374 ◽  
Author(s):  
K. Wasielewska ◽  
M. Ganzha ◽  
M. Paprzycki ◽  
M. Drozdowicz ◽  
D. Petcu ◽  
...  
Keyword(s):  
Grid Resource ◽  
Agent Based ◽  
Resource Brokering

Trust Management in an Agent-Based Grid Resource Brokering System-Preliminary Considerations

2007 ◽  
Author(s):  
M. Ganzha ◽  
M. Paprzycki ◽  
I. Lirkov ◽  
Michail D. Todorov
Keyword(s):  
Trust Management ◽  
Grid Resource ◽  
Agent Based ◽  
Resource Brokering

A Grid resource brokering strategy based on resource and network performance in Grid

2012 ◽  
Vol 28 (3) ◽  
pp. 491-499 ◽  
Author(s):  
Valliyammai Chinnaiah ◽  
Thamarai Selvi Somasundaram
Keyword(s):  
Network Performance ◽  
Grid Resource ◽  
Resource Brokering

scholarly journals ARMS: An Agent-Based Resource Management System for Grid Computing

2002 ◽  
Vol 10 (2) ◽  
pp. 135-148 ◽  
Author(s):  
Junwei Cao ◽  
Stephen A. Jarvis ◽  
Subhash Saini ◽  
Darren J. Kerbyson ◽  
Graham R. Nudd
Keyword(s):  
Resource Management ◽  
Grid Computing ◽  
Management System ◽  
Grid Resource ◽  
Agent Based ◽  
Resource Management System ◽  
Meta Level ◽  
Local Grid ◽  
Prediction Techniques

Resource management is an important component of a grid computing infrastructure. The scalability and adaptability of such systems are two key challenges that must be addressed. In this work an agent-based resource management system, ARMS, is implemented for grid computing. ARMS utilises the performance prediction techniques of the PACE toolkit to provide quantitative data regarding the performance of complex applications running on a local grid resource. At the meta-level, a hierarchy of homogeneous agents are used to provide a scalable and adaptable abstraction of the system architecture. Each agent is able to cooperate with other agents and thereby provide service advertisement and discovery for the scheduling of applications that need to utilise grid resources. A case study with corresponding experimental results is included to demonstrate the efficiency of the resource management and scheduling system.

Agent-Based Grid Resource Management

2011 ◽  
pp. 463-470
Author(s):  
Ognian Nakov ◽  
Plamenka Borovska ◽  
Adelina Aleksieva-Petrova ◽  
Anastasios Profitis ◽  
Luka Bekiarov
Keyword(s):  
Resource Management ◽  
Grid Resource ◽  
Agent Based ◽  
Grid Resource Management
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