Distributed Network Resources Monitoring Based on Multi-agent and Matrix Grammar

2011 ◽  
Author(s):  
Weidong Min
Keyword(s):  
Distributed Network ◽  
Network Resources ◽  
Matrix Grammar ◽  
Multi Agent

Rethinking bibliographic utilities for library consortia

2020 ◽  
Vol 37 (8) ◽  
pp. 7-9
Author(s):  
Israel Odede
Keyword(s):  
Literature Review ◽  
Paradigm Shift ◽  
Design Methodology ◽  
Distributed Network ◽  
Network Resources ◽  
Content Type ◽  
Library Consortia ◽  
Individual Ownership ◽  
Insight Into

Purpose The paper aims to critically examine the bibliographic utility as a roadmap to increase library consortia and provide an insight into a new library consortia strategy that integrates librarians into a system of sharing both resources and knowledge. Design/methodology/approach This study adopted a literature review approach with a focus on bibliographic utility as a necessary prerequisite for effective library consortia, which is a paradigm shift from the concept of individual ownership to a collective access of distributed network resources and knowledge. Findings The reviewed literature indicated that significant bibliographic utilities and integrated library systems are factors that shaped and developed consortia activities in libraries. Originality/value The bibliographic utility has limited literature, and a few published scholarly studies have combined bibliographic utility and library consortia as strategies to share resources and knowledge

Immune Based Bio-Network Architecture and its Simulation Platform for Future Internet

2011 ◽  
pp. 204-218
Author(s):  
Yong-Sheng Ding ◽  
Xiang-Feng Zhang ◽  
Li-Hong Ren
Keyword(s):  
Network Architecture ◽  
Future Internet ◽  
Information Services ◽  
Immune Network ◽  
Simulation Platform ◽  
Distributed Network ◽  
Network Resources ◽  
Short Response Time ◽  
Immune Systems ◽  
Internet Information

Future Internet should be capable of extensibility, survivability, mobility, and adaptability to the changes of different users and network environments, so it is necessary to optimize the current Internet architecture and its applications. Inspired by the resemble features between the immune systems and future Internet, the authors introduce some key principles and mechanisms of the immune systems to design a bio-network architecture to address the challenges of future Internet. In the bio-network architecture, network resources are represented by various bioentities, while complex services and application can be emerged from the interactions among bio-entities. Also, they develop a bio-network simulation platform which has the capability of service emergence, evolution, and so forth. The simulation platform can be used to simulate some complex services and applications for Internet or distributed network. The simulators with different functions can be embedded in the simulation platform. As a demonstration, this chapter provides two immune network computation models to generate the emergent services through computer simulation experiments on the platform. The experimental results show that the bio-entities on the platform provide quickly services to the users’ requests with short response time. The interactions among bio-entities maintain the load balance of the bio-network and make the resources be utilized reasonably. With the advantages of adaptability, extensibility, and survivability, the bio-network architecture provides a novel way to design new intelligent Internet information services and applications.

scholarly journals Network resources management in a multi-agent system: A simulative approach

2010 ◽  
Vol 106 (9/10) ◽  
Author(s):  
Emmanuel A. Olajubu ◽  
Ganiyu A. Aderounmu ◽  
Emmanuel R. Adagunodo
Keyword(s):  
Multi Agent System ◽  
Network Resources ◽  
Agent System ◽  
Resources Management ◽  
System A ◽  
Multi Agent

DQR: An Efficient Deep Q-Based Routing Approach in Multi-Controller Software Defined WAN (SD-WAN)

2020 ◽  
Vol 20 (04) ◽  
pp. 2150002
Author(s):  
MANEL MAJDOUB ◽  
ALI EL KAMEL ◽  
HABIB YOUSSEF
Keyword(s):  
Load Balancing ◽  
Resource Utilization ◽  
Large Scale ◽  
Network Technology ◽  
Network Resources ◽  
Routing Optimization ◽  
Multi Agent ◽  
Large Scale Networks ◽  
Network Scalability ◽  
Better Than

Software Defined Networking (SDN) is a promising paradigm in the field of network technology. This paradigm suggests the separation between the control plane and the data plane which brings flexibility, efficiency and programmability to network resources. SDN deployment in large scale networks raises many issues which can be overcame using a collaborative multi-controller approaches. Such approaches can resolve problems of routing optimization and network scalability. In large scale networks, such as SD-WAN, routing optimization consists of achieving a trade-off between per-flow QoS, the load balancing in each domain as well as the resource utilization in inter-domain links. Multi-Agent Reinforcement Learning paradigm(MARL) is one of the most popular solutions that can be used to optimize routing strategies in SD-WAN. This paper proposes an efficient approach based on MARL which is able to ensure a load balancing among each network as well as optimized resource utilization of inter-domain links. This approach profits from our previous work, denoted SPFLR, and tries to balance the load of the whole network using Deep Q-Networks (DQN) algorithms. Simulation results show that the proposed solution performs better than parallel solutions such as BGP-based routing and random routing.

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