Adaptive Service Workflow Configuration and Agent-Based Virtual Resource Management in the Cloud*

2013 ◽  
Author(s):  
Yi Wei ◽  
M. B. Blake
Keyword(s):  
Resource Management ◽  
Agent Based

Intelligent multi-agent based C-RAN architecture for 5G radio resource management

2020 ◽  
Vol 180 ◽  
pp. 107418
Author(s):  
Jin Xu ◽  
Zbigniew Dziong ◽  
Yan Luxin ◽  
Zhe Huang ◽  
Ping Xu ◽  
...  
Keyword(s):  
Resource Management ◽  
Radio Resource Management ◽  
Radio Resource ◽  
Agent Based ◽  
Multi Agent

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.

Resource management and scheduling policy based on grid for AIoT

2017 ◽  
Vol 31 (19-21) ◽  
pp. 1740066 ◽  
Author(s):  
Yiqin Zou ◽  
Li Quan
Keyword(s):  
Resource Management ◽  
Interface Layer ◽  
Agent Based ◽  
Scheduling Policy ◽  
Resource Modeling ◽  
Service Resource ◽  
Multi Agent ◽  
Level Model ◽  
High Level ◽  
Resource Scheduler

This paper has a research on resource management and scheduling policy based on grid technology for Agricultural Internet of Things (AIoT). Facing the situation of a variety of complex and heterogeneous agricultural resources in AIoT, it is difficult to represent them in a unified way. But from an abstract perspective, there are some common models which can express their characteristics and features. Based on this, we proposed a high-level model called Agricultural Resource Hierarchy Model (ARHM), which can be used for modeling various resources. It introduces the agricultural resource modeling method based on this model. Compared with traditional application-oriented three-layer model, ARHM can hide the differences of different applications and make all applications have a unified interface layer and be implemented without distinction. Furthermore, it proposes a Web Service Resource Framework (WSRF)-based resource management method and the encapsulation structure for it. Finally, it focuses on the discussion of multi-agent-based AG resource scheduler, which is a collaborative service provider pattern in multiple agricultural production domains.

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