Peer to peer trade in HTM5 meta model for agent oriented cloud robotic systems

Nagrath, Vineet and Morel, Olivier and Malik, Aamir Saeed and Mohamad Saad, Mohamad Naufal and Meriaudeau, Fabrice (2015) Peer to peer trade in HTM5 meta model for agent oriented cloud robotic systems. Peer-to-Peer Networking and Applications.

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Abstract

Cloud computing is a methodology and not a
technology. Adaptation of cloud computing services for
robotic applications is relatively straightforward while adaptation
of underlying ideas will require a new design attitude.
Cloud computing is a cost-effective and dynamic business
model. Currently cloud robotics is understood as a client
server methodology which enables robots utilize resources
and services placed at centralized servers. These cloud
servers treat robots as any other client computer offering
them platform, infrastructure, process or algorithm as a
service. HTM5 is an OMG MDA based multi-view metamodel
for agent oriented development of cloud robotic
systems. HTM5 encourages design of peer-to-peer service
ecosystems based on an open registry and matchmaking
mechanism. In peer-to-peer cloud robotics, a robot can trade
its hardware, software and functional resources as a service
to other robots in the ecosystem. The peer-to-peer trade
in such systems may be driven by contracts and relationships
between its member agents. This article discusses trade-view model of HTM5 methodology and its use in
developing a cloud robotic ecosystem that implements peerto-
peer, contract based economy. The article also presents a
case study with experiments that implement distributed artificial
intelligence and peer-to-peer service oriented trade on
simulated and real robot colonies.

Item Type: Article
Impact Factor: 0.632
Uncontrolled Keywords: Cloud robotics; Model driven architecture; Cloud computing; Multi-agent systems; Peer-to-peer system; Business model
Subjects: Q Science > Q Science (General)
T Technology > T Technology (General)
Departments / MOR / COE: Departments > Electrical & Electronic Engineering
Research Institutes > Institute for Health Analytics
Depositing User: Dr Aamir Saeed Malik
Date Deposited: 07 Oct 2016 01:42
Last Modified: 07 Oct 2016 01:42
URI: http://scholars.utp.edu.my/id/eprint/11807

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