Agreement technologies and their use in cloud computing environments

Heras, Stella; Prieta, Fernando De la; Julián, Vicente; Rodrı́guez, Sara; Botti, Vicente; Bajo, Javier; Corchado, Juan M.

doi:10.1007/s13748-012-0031-9

Cited by 35 publications

(28 citation statements)

References 17 publications

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“…This distributed monitoring model makes it possible to instantly adapt existing resources of the CC environment according to demand for each service, which in turn meets the double objective of complying with the established SLA agreements and reducing energy consumption. One of the most innovative aspects of +Cloud is the design of agents with advanced reasoning capabilities for the distribution of resources (Heras et al 2012;De la Prieta et al 2013).…”

Section: Architecture Modelmentioning

confidence: 99%

MAS-based self-adaptive architecture for controlling and monitoring Cloud platforms

Prieta

Bajo

Rodrı́guez

et al. 2016

J Ambient Intell Human Comput

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Section: Architecture Modelmentioning

confidence: 99%

MAS-based self-adaptive architecture for controlling and monitoring Cloud platforms

Prieta

Bajo

Rodrı́guez

et al. 2016

J Ambient Intell Human Comput

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“…For the deployment of the simulation middleware and its associated software components, our own cloudbased platform, +Cloud [22], was used. +Cloud is a platform based on the Cloud Computing paradigm.…”

Section: +Cloud Platformmentioning

confidence: 99%

“…To this end, a virtual organization of intelligent agents that monitor and manage the platform resources is used [22]. In +Cloud, the elastic management of the available resources is performed by a MAS based on VO, which eases the design of the overall system [20].…”

Section: +Cloud Platformmentioning

confidence: 99%

Infrastructure to simulate intelligent agents in cloud environments

Prieta

Rodrı́guez

Corchado

et al. 2015

Journal of Intelligent &Amp; Fuzzy Systems

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Nowadays there is a clear trend towards using methods and tools that can help the development of Simulation Systems. In this regard, Multiagent System (MAS) is a key technology that allows simulating user behavior. When the user is the focus of the simulation, Ambient Intelligent (AmI) increases in importance. AmI is an emerging multidisciplinary area based on ubiquitous computing that aims to adapt the environment to the needs of the user. Moreover, Cloud Computing is revolutionizing the services provided through the Internet, continually adapting itself in order to maintain the quality of its services. This study presents a multiagent based middleware for the simulation of agent behavior in cloud environments, and uses this information to adapt to the environment as AmI proposed. The main challenge of this work is the design and development of a new middleware that makes possible the communication between the technology in charge of the development of MAS and the technology in charge of the simulation, visualization and analysis of the behavior of the agents using the potential of cloud computing. The platform makes the computation and communication possible by following the principles proposed by AmI.

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“…The virtual and physical resources are managed dynamically. To this end, a virtual organisation of intelligent agents that monitor and manage the platform resources is used [4].…”

Section: +Cloud Platformmentioning

confidence: 99%

+Cloud: An Agent-Based Cloud Computing Platform

González

Hernández

Prieta

et al. 2013

Distributed Computing and Artificial Intelligence

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Abstract. Cloud computing is revolutionizing the services provided through the Internet, and is continually adapting itself in order to maintain the quality of its services. This study presents the platform +Cloud, which proposes a cloud environment for storing information and files by following the cloud paradigm. This study also presents Warehouse 3.0, a cloud-based application that has been developed to validate the services provided by +Cloud.

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Agreement technologies and their use in cloud computing environments

Cited by 35 publications

References 17 publications

MAS-based self-adaptive architecture for controlling and monitoring Cloud platforms

MAS-based self-adaptive architecture for controlling and monitoring Cloud platforms

Infrastructure to simulate intelligent agents in cloud environments

+Cloud: An Agent-Based Cloud Computing Platform

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