Study and implementation of agent-based grid resource monitoring model

2010 ◽  
Author(s):  
Liu Ming ◽  
Junqi Zhang ◽  
Yu Wang ◽  
Jie Li
Keyword(s):  
Resource Monitoring ◽  
Grid Resource ◽  
Agent Based ◽  
Monitoring Model

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.

A Stratified Monitoring Model for Hybrid Cloud

2015 ◽  
Vol 719-720 ◽  
pp. 900-906 ◽  
Author(s):  
Yun Chang Liu ◽  
Chun Lin Li
Keyword(s):  
Service Providers ◽  
Careful Analysis ◽  
Hybrid Cloud ◽  
Agent Based ◽  
Hybrid Clouds ◽  
Monitoring Model ◽  
Application Service ◽  
Cloud Monitoring ◽  
Physical Infrastructure ◽  
Monitoring Architecture

Hybrid clouds integrate different cloud solutions. Its inherent complexity and short of standard urge for a careful analysis, systematizing and understanding of monitoring. In this context, this paper provides a deep insight into hybrid cloud monitoring. It proposes a layered monitoring model for hybrid clouds, identifying the multiple layers of monitoring, focusing on physical infrastructure layer, virtual infrastructure layer, network, application/service layer, while combining the perspectives of service providers and clients. This process involves the identification of relevant parameters and metrics for each layer. Due to its flexibiliity and intelligence, using Agent technology, an agent-based monitoring architecture is presented. It enables to eliminate the complexity among different cloud platforms.This study contributes to achieve a clearer and more efficient approach to hybrid cloud monitoring.

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

scholarly journals Survey of Grid Resource Monitoring and Prediction Strategies

2010 ◽  
Vol 1 (2) ◽  
pp. 78-85 ◽  
Author(s):  
Liang Hu ◽  
Xiaochun Cheng ◽  
Xilong Che
Keyword(s):  
Resource Monitoring ◽  
Grid Resource

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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