Nagrath, Vineet and Morel, Olivier and Malik, Aamir Saeed and Mohamad, Naufal Mohamad (2015) Dynamic electronic institutions in agent oriented cloud robotic systems. SpringerPlus.
Dynamic electronic institutions in agent oriented cloud robotic systems.pdf
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Abstract
The dot-com bubble bursted in the year 2000 followed by a swift movement towards resource virtualization and
cloud computing business model. Cloud computing emerged not as new form of computing or network technology
but a mere remoulding of existing technologies to suit a new business model. Cloud robotics is understood as
adaptation of cloud computing ideas for robotic applications. Current efforts in cloud robotics stress upon developing
robots that utilize computing and service infrastructure of the cloud, without debating on the underlying business
model. HTM5 is an OMG’s MDA based Meta-model for agent oriented development of cloud robotic systems. The
trade-view of HTM5 promotes peer-to-peer trade amongst software agents. HTM5 agents represent various cloud
entities and implement their business logic on cloud interactions. Trade in a peer-to-peer cloud robotic system is
based on relationships and contracts amongst several agent subsets. Electronic Institutions are associations of
heterogeneous intelligent agents which interact with each other following predefined norms. In Dynamic Electronic
Institutions, the process of formation, reformation and dissolution of institutions is automated leading to run time
adaptations in groups of agents. DEIs in agent oriented cloud robotic ecosystems bring order and group intellect. This
article presents DEI implementations through HTM5 methodology.
Item Type: | Article |
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Uncontrolled Keywords: | Dynamic electronic institutions; Cloud robotics; Model driven engineering; Cloud computing; 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/11806 |