Dynamic Dedicated Server Allocation for Service Oriented Multi-Agent Data Intensive Architecture in Biomedical and Geospatial Cloud

2014 ◽  
Vol 4 (1) ◽  
pp. 50-62 ◽  
Author(s):  
Sudhansu Shekhar Patra ◽  
R. K. Barik
Keyword(s):  
Cloud Computing ◽  
Information And Communication Technologies ◽  
Service Oriented Architecture ◽  
Cloud Service ◽  
Multi Agent Systems ◽  
Data Intensive ◽  
Efficient Management ◽  
Server Allocation ◽  
Service Oriented ◽  
Multi Agent

Cloud computing has recently received considerable attention, as a promising approach for delivering Information and Communication Technologies (ICT) services as a utility. In the process of providing these services it is necessary to improve the utilization of data centre resources which are operating in most dynamic workload environments. Datacenters are integral parts of cloud computing. In the datacenter generally hundreds and thousands of virtual servers run at any instance of time, hosting many tasks and at the same time the cloud system keeps receiving the batches of task requests. It provides services and computing through the networks. Service Oriented Architecture (SOA) and agent frameworks renders tools for developing distributed and multi agent systems which can be used for the administration of cloud computing environments which supports the above characteristics. This paper presents a SOQM (Service Oriented QoS Assured and Multi Agent Cloud Computing) architecture which supports QoS assured cloud service provision and request. Biomedical and geospatial data on cloud can be analyzed through SOQM and has allowed the efficient management of the allocation of resources to the different system agents. It has proposed a finite heterogeneous multiple vm model which are dynamically allocated depending on the request from biomedical and geospatial stakeholders.

Dynamic Dedicated Server Allocation for Service Oriented Multi-Agent Data Intensive Architecture in Biomedical and Geospatial Cloud

2015 ◽  
pp. 2262-2273 ◽  
Author(s):  
Sudhansu Shekhar Patra ◽  
R. K. Barik
Keyword(s):  
Cloud Computing ◽  
Information And Communication Technologies ◽  
Service Oriented Architecture ◽  
Cloud Service ◽  
Multi Agent Systems ◽  
Data Intensive ◽  
Server Allocation ◽  
Information And Communication ◽  
Service Oriented ◽  
Multi Agent

Cloud computing has recently received considerable attention, as a promising approach for delivering Information and Communication Technologies (ICT) services as a utility. In the process of providing these services it is necessary to improve the utilization of data centre resources which are operating in most dynamic workload environments. Datacenters are integral parts of cloud computing. In the datacenter generally hundreds and thousands of virtual servers run at any instance of time, hosting many tasks and at the same time the cloud system keeps receiving the batches of task requests. It provides services and computing through the networks. Service Oriented Architecture (SOA) and agent frameworks renders tools for developing distributed and multi agent systems which can be used for the administration of cloud computing environments which supports the above characteristics. This paper presents a SOQM (Service Oriented QoS Assured and Multi Agent Cloud Computing) architecture which supports QoS assured cloud service provision and request. Biomedical and geospatial data on cloud can be analyzed through SOQM and has allowed the efficient management of the allocation of resources to the different system agents. It has proposed a finite heterogeneous multiple vm model which are dynamically allocated depending on the request from biomedical and geospatial stakeholders.

Control of Crisis Environments by the Use of WSN Structures and Based on Expert-SOA Architecture

2011 ◽  
Vol 383-390 ◽  
pp. 4629-4633
Author(s):  
Zahra Oladi Ghadikolaie ◽  
Sara Jafari Bazminabadi ◽  
Samira Kalantari ◽  
Zahra Hadjian Line ◽  
Shahaboddin Shamshirband
Keyword(s):  
Wireless Sensor Networks ◽  
Service Oriented Architecture ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Human Agent ◽  
Central Controller ◽  
Service Oriented ◽  
Multi Agent

In this article service-oriented architecture is implemented in crisis environments (such as in a place on fire). Our purpose is to use wireless sensor networks and multi-agent systems in crisis environments to gather information from the environment. This information is received by sensor nodes, it is then processed in the expert system, the deductions concerning the environment from which information has been gather are sent to the central controller, and then the central controller sends the messages to the human agent who becomes aware of the situation in the environment in order to carry out the prescribed duties.

scholarly journals Using XML to Help Isolate Software Systems and Agents from Change Due to Communications

2006 ◽  
Vol 1 (4) ◽  
Author(s):  
Paul Darbyshire
Keyword(s):  
Service Oriented Architecture ◽  
Software Systems ◽  
Multi Agent Systems ◽  
Agent Based ◽  
Practical Applications ◽  
Architectural Framework ◽  
Service Oriented ◽  
Multi Agent ◽  
Message System

Development and research into distributed and agent based systems has grown enormously over the last few years, and the number of practical applications for such systems has grown along with it as the technology and infrastructure improves to accommodate such systems. As with all systems, evolution and change is inevitable, but with the growth of distributed systems and the Service Oriented Architecture, we have another dimension of change we need to consider; that of communication. The importance of the role of communication between these systems has been highlighted by many researchers, particularly for multi-agent systems and for distributed communicating agents. But the form of such communication often remains a mystery. Communication aspects are often dependent on other factors within an architectural framework, particularly the data. In order to reduce unnecessary changes to the communication aspects of a system, we need to insulate the communication as much as possible from consequential change effected by architectural other framework elements. A message system using an XML-type syntax is more extensible and adaptable for use in a changing environment. It helps to isolate the communication from the structure and content of the message, thereby reducing consequential change. This paper discusses the use of XML for the construction of agent-based messages, and presents a simple approach for the deconstruction of messages by receiving agents.

Applying Service Oriented Architecture and Cloud Computing for a Greener Traffic Management

2011 ◽  
pp. 678-693
Author(s):  
Ishan Bhalla ◽  
Kamlesh Chaudhary
Keyword(s):  
Cloud Computing ◽  
Traffic Management ◽  
Management System ◽  
Carbon Emission ◽  
Service Oriented Architecture ◽  
Heavy Traffic ◽  
Wireless Data ◽  
Service Oriented ◽  
Traffic Management System ◽  
It Application

Traffic Management System (TMS) is a possible implementation of a Green IT application. It can have direct impact on reducing the greenhouse gases. The focus of this report is to illustrate how event driven SOA design principles can be applied in designing traffic management system. It also discusses how cloud computing concept can be used for TMS application. Traffic during peak hours is a problem in any major city where population growth far exceeds the infrastructure. Frequent stop and start of the cars on the heavy traffic roads and slow moving traffic causes greater fuel consumption, which results in greater emission of carbon gases. If efficient traffic management system can speed up the traffic average speed it will help reduce the carbon emission. As the WiMAX technology reaches maturity and achieves greater reliability and speed for wireless data transmissions new mobile applications are possible. Traffic Management System is one such example. WiMAX can facilitate communication to and from fast moving cars. WiMAX combined with GPS (Global Positioning System) technology can facilitate building an efficient traffic management system. The authors have also discussed various scenarios where Cloud computing technology can be utilised resulting in further optimisation of the computing resources and therefore reducing the carbon emission.

Design and Development of a Multi-Agent E-Learning System

2016 ◽  
pp. 390-447
Author(s):  
Terje Kristensen ◽  
Marius Dyngeland
Keyword(s):  
Software Development ◽  
Service Oriented Architecture ◽  
Learning System ◽  
Agent Architecture ◽  
Quality Requirements ◽  
Client Server ◽  
Dynamic Content ◽  
Service Oriented ◽  
E Learning ◽  
Multi Agent

In this paper the authors present the design and software development of an E-learning system based on a multi-agent (MAS) architecture. The multi-agent architecture is established on the client-server model. The MAS architecture is combined with the Dynamic Content Manager (DCM) model of E-learning developed at Bergen University College, Norway. The authors first present the quality requirements of the system before they describe the architectural decisions taken. They then evaluate and discuss the benefits of using a multi-agent architecture. Finally, the MAS architecture is compared with a pure service-oriented architecture (SOA) to observe that a MAS architecture has a lot of the same qualities as this architecture, in addition to some new ones.

Design and Development of a Multi-Agent E-Learning System

2015 ◽  
Vol 7 (2) ◽  
pp. 19-74 ◽  
Author(s):  
Terje Kristensen ◽  
Marius Dyngeland
Keyword(s):  
Software Development ◽  
Service Oriented Architecture ◽  
Learning System ◽  
Agent Architecture ◽  
Quality Requirements ◽  
Client Server ◽  
Dynamic Content ◽  
Service Oriented ◽  
E Learning ◽  
Multi Agent

In this paper the authors present the design and software development of an E-learning system based on a multi-agent (MAS) architecture. The multi-agent architecture is established on the client-server model. The MAS architecture is combined with the Dynamic Content Manager (DCM) model of E-learning developed at Bergen University College, Norway. The authors first present the quality requirements of the system before they describe the architectural decisions taken. They then evaluate and discuss the benefits of using a multi-agent architecture. Finally, the MAS architecture is compared with a pure service-oriented architecture (SOA) to observe that a MAS architecture has a lot of the same qualities as this architecture, in addition to some new ones.

Convergence of Interoperability of Cloud Computing, Service Oriented Architecture and Enterprise Architecture

2013 ◽  
Vol 4 (1) ◽  
pp. 43-51
Author(s):  
Susan Sutherland
Keyword(s):  
Cloud Computing ◽  
Enterprise Architecture ◽  
Service Oriented Architecture ◽  
Proof Of Concept ◽  
Cloud Computing Service ◽  
Architectural Model ◽  
Service Oriented ◽  
State Of Art ◽  
Dynamic Links

The research identifies the gap that there is a convergence of interoperability of Cloud Computing (CC), Service Oriented Architecture (SOA) and Enterprise Architecture (EA). Furthermore, it outlines the existing non dynamic links between EA and SOA that are currently practiced in the industry and confirmed by scholarly articles; and provides a state of art of the link that could exist in practice between cloud computing and SOA as researched from the published scholarly material. This researched paper also refers to the planned research to test this theory first by developing a logical architectural model of such a feasibility followed by a Proof of Concept

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