A computational grid is a hardware and software infrastructure that provides dependable, consistent, pervasive, and inexpensive access to high-end computational capability. An ideal grid environment should provide access to the available resources in a seamless manner. Resource management is an important infrastructural component of a grid computing environment. The overall aim of resource management is to efficiently schedule applications that need to utilise the available resources in the grid environment. In this work, an A4 (Agile Architecture and Autonomous Agents) methodology is introduced for the development of large-scale distributed software systems with highly dynamic behaviours. An agent is considered to be both a service provider and a service requestor. Agents are organised into a hierarchy with service advertisement and discovery capabilities. An Agent-based Resource Management System (ARMS) is implemented for grid computing, based on an existing application performance prediction toolkit PACE. Experimental results show that better load balancing can be achieved among multiple grid resources.
"Sinopsis" puede pertenecer a otra edición de este libro.
A computational grid is a hardware and software infrastructure that provides dependable, consistent, pervasive, and inexpensive access to high-end computational capability. An ideal grid environment should provide access to the available resources in a seamless manner. Resource management is an important infrastructural component of a grid computing environment. The overall aim of resource management is to efficiently schedule applications that need to utilise the available resources in the grid environment. In this work, an A4 (Agile Architecture and Autonomous Agents) methodology is introduced for the development of large-scale distributed software systems with highly dynamic behaviours. An agent is considered to be both a service provider and a service requestor. Agents are organised into a hierarchy with service advertisement and discovery capabilities. An Agent-based Resource Management System (ARMS) is implemented for grid computing, based on an existing application performance prediction toolkit PACE. Experimental results show that better load balancing can be achieved among multiple grid resources.
Junwei Cao is currently a Professor and Vice Director of Research Institute of Information Technology, Tsinghua University, China. He is also a Visiting Scientist of Massachusetts Institute of Technology, USA. He works on advanced computing technology and applications. He has published 110 papers with over 2200 citations. He's a IEEE Senior Member.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: moluna, Greven, Alemania
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Cao JunweiJunwei Cao is currently a Professor and Vice Director of Research Institute of Information Technology, Tsinghua University, China. He is also a Visiting Scientist of Massachusetts Institute of Technology, USA. He works on a. Nº de ref. del artículo: 4981587
Cantidad disponible: Más de 20 disponibles
Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 216. Nº de ref. del artículo: 26128772138
Cantidad disponible: 4 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand pp. 216 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Nº de ref. del artículo: 131815413
Cantidad disponible: 4 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND pp. 216. Nº de ref. del artículo: 18128772128
Cantidad disponible: 4 disponibles
Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Agent-based Resource Management for Grid Computing | Junwei Cao | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639369458 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 106905126
Cantidad disponible: 5 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A computational grid is a hardware and software infrastructure that provides dependable, consistent, pervasive, and inexpensive access to high-end computational capability. An ideal grid environment should provide access to the available resources in a seamless manner. Resource management is an important infrastructural component of a grid computing environment. The overall aim of resource management is to efficiently schedule applications that need to utilise the available resources in the grid environment. In this work, an A4 (Agile Architecture and Autonomous Agents) methodology is introduced for the development of large-scale distributed software systems with highly dynamic behaviours. An agent is considered to be both a service provider and a service requestor. Agents are organised into a hierarchy with service advertisement and discovery capabilities. An Agent-based Resource Management System (ARMS) is implemented for grid computing, based on an existing application performance prediction toolkit PACE. Experimental results show that better load balancing can be achieved among multiple grid resources. Nº de ref. del artículo: 9783639369458
Cantidad disponible: 2 disponibles