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Plenary Speech 1: Agents within the cloud

Plenary Speech 1: Agents within the Cloud

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2012 International Conference on Convergence Computer Technology(IC3T 2012)

作者： Ben Kwang-Mong SIM IEEE Transactions on Systems Man & Cybernetics (IEEE Press) IEEE Systems Journal (IEEE Systems Council) Multiagent&Cloud Computing Systems Laboratory Gwangju Institute of Science & Technology Multiagent&Cloud Computing Systems Laboratory Gwangju Institute ofScience&Technology

Whereas much of the current work on cloud computing focuses on the construction of cloud infrastructures and technologies for supporting virtualization, little attention has been devoted to devising methods for consumers to discover, request, and use cloud resources. In a recent paper entitled "Agent‐based cloud computing" published in the Special Issue on cloud computing in the IEEE Transactions on Services computing, Sim introduced the idea of using autonomous agents for automating the discovery, aggregation, negotiation, and harnessing of cloud resources. This keynote lecture introduces some of the on‐going work at the multiagent and cloud computing systems laboratory, Gwangju Institute of Science and Technology: 1) designing and developing cloudle: a cloud service search engine and 2) devising an agent‐based testbed for supporting cloud commerce. cloudle consists of a service discovery agent that consults a cloud ontology for determining the similarities between providers' service specifications and consumers' service requirements. In agent‐based cloud commerce, Sim adopts automated negotiation as a pricing model for trading cloud resources.

关键词： Agents within the cloud Plenary Speech 1

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Towards Agents and Ontology for cloud Service Discovery

Towards Agents and Ontology for Cloud Service Discovery

引用

International Conference on Cyber-Enabled Distributed computing and Knowledge Discovery, CyberC

作者： Jaeyong Kang Kwang Mong Sim Multiagent and Cloud Computing Systems Laboratory Department of Information and Communication Gwangju Institute of Science and Technology Gwangju South Korea

cloud computing has attracted great interest from both academic and industrial communities. However, only a few efforts have been devoted to building tools for supporting cloud service discovery. In this paper, we present a four-stage, agent-based cloud service discovery protocol. Utilizing an ontology description, in which each resource is described semantically and relatively to other resources, we develop a multi-agent system that cooperates efficiently by introducing a flexible ontology-based matching. To increase the utility and success rate of matching consumers' requests to resources, we use a database to store and keep track of historical data for making intelligent recommendation based on attribute value prediction. Empirical results show that when broker agents in our system use a cloud ontology and a connection procedure with a recommendation stage achieved better performance in finding the appropriate cloud services than when broker agents 1) use only the connection procedure but not the cloud ontology and 2) do not use both the connection procedure and the cloud ontology.

关键词： Ontologies Cognition Databases Filtering cloud computing Semantics Resource management

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Challenging Problems and New Directions in Unconventional Automated Negotiation

Challenging Problems and New Directions in Unconventional Au...

引用

2011 International conference on Intelligent Computation and Industrial Application(ICIA2011)

作者： Ben Kwang-Mong SIM IEEE Transactions on SMC Part CIEEE SMC Society Multiagent & Cloud Computing Systems Laboratory Gwangju Institute of Science & Technology

Automated negotiation among distributed systems(e.g., multi-agent systems and software agents) is becoming increasingly important because automated interactions among software agents can occur in many different contexts in which conflicts and differences need to be resolved. For instance, e-negotiation is a desirable mechanism for resolving differences in trading terms in e-commerce systems and supply chain management, and more recently for resource(co-)allocation in cloud computing and Grid computing. Research on engineering negotiation agents has received a great deal of attention in recent years. This talk summarizes some of the state-of-the-art approaches for engineering e-negotiation agents and discusses some of the new and challenging research directions and applications of negotiation agents. Complex automated negotiations such as concurrent negotiation and relaxed-criteria negotiation are among some of the emerging paradigms for engineering advanced e-commerce systems. Agents developed for e-commerce generally share some of the design principles for agents in market-oriented clouds, and some of the protocols and strategies of negotiation agents for e-commerce systems can also be potentially adopted by negotiation agents in market-oriented clouds.

关键词： Challenging Problems and New Directions in Unconventional Automated Negotiation

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Keynote Speeches Challenging Problems and New Directions in Unconventional Automated Negotiation

Keynote Speeches Challenging Problems and New Directions in ...

引用

2011 International conference on Intelligent Computation and Industrial Application(ICIA2011)

作者： Ben Kwang-Mong SIM IEEE Transactions on SMC Part C IEEE SMC Society Multiagent & Cloud Computing Systems Laboratory Gwangju Institute of Science & Technology

关键词： agent Keynote Speeches Challenging Problems and New Directions in Unconventional Automated Negotiation

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cloudle: A Multi-criteria cloud Service Search Engine

Cloudle: A Multi-criteria Cloud Service Search Engine

引用

IEEE Asia-Pacific Conference on Services computing (APSCC)

作者： Jaeyong Kang Kwang Mong Sim Multiagent and Cloud Computing Systems Laboratory Department of Information and Communication Gwangju Institute of Science and Technology Gwangju South Korea

cloud computing has become a hot topic for both industrial and academic communities in the last couple of years. However, there has been no study that tried to develop search engines which are specialized for discovering cloud service. Hence, this paper introduces cloudle-a multi-criteria cloud service search engine that supports matching algorithm of three kinds of requirements which are (1) functional requirement, (2) technical requirement, and (3) cost requirement. To enhance the accuracy of search results, we designed a cloud ontology. A cloud ontology contains a set of cloud concepts, individuals of those concepts, and the relationship among those individuals. It is used for determining the similarity among cloud service using three kinds of devised reasoning methods which are (1) concept similarity reasoning, (2) object property similarity reasoning, and (3) data type property similarity reasoning. Finally, the empirical results show that the result using cloudle with the cloud ontology has significantly better performance in finding the appropriate cloud service than the result using cloudle without the cloud ontology and the result without cloudle.

关键词： Cognition Ontologies cloud computing Search engines Computer architecture Bandwidth Semantics

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