A Scouting-Based Multi-Agent System Model to Deal with Service Collaboration in Cloud Computing

2014 ◽  
pp. 282-309 ◽  
Author(s):  
Mauricio Paletta
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Service Level ◽  
Multi Agent Systems ◽  
Youth Movement ◽  
Agent Systems ◽  
The World ◽  
Multi Agent ◽  
Service Collaboration ◽  
Effective Service

Cloud computing addresses the use of scalable and often virtualized resources. It is based on service-level agreements that provide external users with requested services. Cloud computing is still evolving. New specific collaboration models among service providers are needed for enabling effective service collaboration, allowing the process of serving consumers to be more efficient. On the other hand, Scout Movement or Scouting has been a very successful youth movement in which the collaboration of its members can be observed. This motivated a previous work aiming to design MAS-Scout, a framework that defines Multi-Agent Systems based on the principles of Scouting. In this chapter, MAS-Scout is used to design a system to deal with service collaboration in a cloud computing environment focusing on the premise that Scouting has been a very successful social movement in the world and that collaboration is part of its principles. The results presented in this chapter show that MAS-Scout, which is based on the Scouting principles, can be satisfactorily used to automate cloud computing needs.

scholarly journals Can models of agents be transferred between different areas?

2000 ◽  
Vol 15 (2) ◽  
pp. 197-203 ◽  
Author(s):  
RUTH AYLETT ◽  
KERSTIN DAUTENHAHN ◽  
JIM DORAN ◽  
MICHAEL LUCK ◽  
SCOTT MOSS ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Multi Agent Systems ◽  
Ongoing Research ◽  
Agent Based ◽  
Agent Systems ◽  
Sustained Activity ◽  
Diverse Environment ◽  
The World ◽  
Multi Agent

One of the main reasons for the sustained activity and interest in the field of agent-based systems, apart from the obvious recognition of its value as a natural and intuitive way of understanding the world, is its reach into very many different and distinct fields of investigation. Indeed, the notions of agents and multi-agent systems are relevant to fields ranging from economics to robotics, in contributing to the foundations of the field, being influenced by ongoing research, and in providing many domains of application. While these various disciplines constitute a rich and diverse environment for agent research, the way in which they may have been linked by it is a much less considered issue. The purpose of this panel was to examine just this concern, in the relationships between different areas that have resulted from agent research. Informed by the experience of the participants in the areas of robotics, social simulation, economics, computer science and artificial intelligence, the discussion was lively and sometimes heated.

scholarly journals Distributed resource allocation in cloud computing using multi-agent systems

2017 ◽  
Vol 9 (2) ◽  
pp. 110-115 ◽  
Author(s):  
Artan Mazrekaj ◽  
Dorian Minarolli ◽  
Bernd Freisleben
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Multi Agent Systems ◽  
Distributed Resource Allocation ◽  
Agent Systems ◽  
Multi Agent

scholarly journals Resource-bounded Norm Monitoring In Multi-agent Systems

2018 ◽  
Vol 62 ◽  
pp. 153-192 ◽  
Author(s):  
Natalia Criado
Keyword(s):  
Incomplete Information ◽  
Multi Agent Systems ◽  
Sociotechnical System ◽  
Agent Systems ◽  
Norm Violations ◽  
Norm Compliance ◽  
The Social ◽  
The World ◽  
Multi Agent ◽  
Bounded Norm

Norms allow system designers to specify the desired behaviour of a sociotechnical system. In this way, norms regulate what the social and technical agents in a sociotechnical system should (not) do. In this context, a vitally important question is the development of mechanisms for monitoring whether these agents comply with norms. Proposals on norm monitoring often assume that monitoring has no costs and/or that monitors have unlimited resources to observe the environment and the actions performed by agents. In this paper, we challenge this assumption and propose the first practical resource-bounded norm monitor. Our monitor is capable of selecting the resources to be deployed and use them to check norm compliance with incomplete information about the actions performed and the state of the world. We formally demonstrate the correctness and soundness of our norm monitor and study its complexity. We also demonstrate in randomised simulations and benchmark experiments that our monitor can select monitored resources effectively and efficiently, detecting more norm violations and fulfilments than other tractable optimization approaches and obtaining slightly worse results than intractable optimal approaches.

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