The pervasiveness of personal computing platforms offers an unprecedented opportunity to deploy large-scale services that are distributed over wide physical spaces. We propose a number of new distributed resource management techniques, focusing on two application domains: distributed Field Monitoring Applications (FMAs), and Message Delivery Applications (MDAs).In the context of FMAs, we present two techniques that are well-suited to the limited storage and power resources of autonomously mobile sensors. Both approaches are proactive in that they aim to provide nodes with a view of the monitored field leading to more efficient query handling.Then for MDAs, we identify node mobility as a valuable resource. Assuming that this mobility is governed by a spatio-temporal schedule featuring some slack, we present novel algorithms to orchestrate the use of this slack to improve performance of the supported applications.Our findings highlight the importance of two design principles. First, a-priori knowledge could be used effectively for local resource management. Second, judicious coordination of node mobility could lead to significant performance gains for distributed applications.
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The pervasiveness of personal computing platforms offers an unprecedented opportunity to deploy large-scale services that are distributed over wide physical spaces. We propose a number of new distributed resource management techniques, focusing on two application domains: distributed Field Monitoring Applications (FMAs), and Message Delivery Applications (MDAs).In the context of FMAs, we present two techniques that are well-suited to the limited storage and power resources of autonomously mobile sensors. Both approaches are proactive in that they aim to provide nodes with a view of the monitored field leading to more efficient query handling.Then for MDAs, we identify node mobility as a valuable resource. Assuming that this mobility is governed by a spatio-temporal schedule featuring some slack, we present novel algorithms to orchestrate the use of this slack to improve performance of the supported applications.Our findings highlight the importance of two design principles. First, a-priori knowledge could be used effectively for local resource management. Second, judicious coordination of node mobility could lead to significant performance gains for distributed applications.
Dr. Morcos received his PhD from the CS dept. at Boston Univ., 2008. He focused on building distributed systems to provide unified services using autonomous entities. He earned his Master from the ECE dept. at Rice Univ., 2002. Hany is a senior software engineer at Thomson Reuters building systems to leverage the power of business social networks.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The pervasiveness of personal computing platforms o ers an unprecedented opportunity to deploy large-scale services that are distributed over wide physical spaces. We propose a number of new distributed resource management techniques, focusing on two application domains: distributed Field Monitoring Applications (FMAs), and Message Delivery Applications (MDAs).In the context of FMAs, we present two techniques that are well-suited to the limited storage and power resources of autonomously mobile sensors. Both approaches are proactive in that they aim to provide nodes with a view of the monitored eld leading to more efficient query handling.Then for MDAs, we identify node mobility as a valuable resource. Assuming that this mobility is governed by a spatio-temporal schedule featuring some slack, we present novel algorithms to orchestrate the use of this slack to improve performance of the supported applications.Our findings highlight the importance of two design principles. First, a-priori knowledge could be used e ectively for local resource management. Second, judicious coordination of node mobility could lead to signi cant performance gains for distributed applications. 176 pp. Englisch. N° de réf. du vendeur 9783845419060
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Morcos HanyDr. Morcos received his PhD from the CS dept. at Boston Univ., 2008. He focused on building distributed systems to provide unified services using autonomous entities. He earned his Master from the ECE dept. at Rice Univ., . N° de réf. du vendeur 5481569
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Taschenbuch. Etat : Neu. Distributed Coordinated Resource Management | For Service Provisioning in Mobile Networks | Hany Morcos (u. a.) | Taschenbuch | 176 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845419060 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 106864464
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The pervasiveness of personal computing platforms öers an unprecedented opportunity to deploy large-scale services that are distributed over wide physical spaces. We propose a number of new distributed resource management techniques, focusing on two application domains: distributed Field Monitoring Applications (FMAs), and Message Delivery Applications (MDAs).In the context of FMAs, we present two techniques that are well-suited to the limited storage and power resources of autonomously mobile sensors. Both approaches are proactive in that they aim to provide nodes with a view of the monitored ¿eld leading to more efficient query handling.Then for MDAs, we identify node mobility as a valuable resource. Assuming that this mobility is governed by a spatio-temporal schedule featuring some slack, we present novel algorithms to orchestrate the use of this slack to improve performance of the supported applications.Our findings highlight the importance of two design principles. First, a-priori knowledge could be used e¿ectively for local resource management. Second, judicious coordination of node mobility could lead to signi¿cant performance gains for distributed applications.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch. N° de réf. du vendeur 9783845419060
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The pervasiveness of personal computing platforms o ers an unprecedented opportunity to deploy large-scale services that are distributed over wide physical spaces. We propose a number of new distributed resource management techniques, focusing on two application domains: distributed Field Monitoring Applications (FMAs), and Message Delivery Applications (MDAs).In the context of FMAs, we present two techniques that are well-suited to the limited storage and power resources of autonomously mobile sensors. Both approaches are proactive in that they aim to provide nodes with a view of the monitored eld leading to more efficient query handling.Then for MDAs, we identify node mobility as a valuable resource. Assuming that this mobility is governed by a spatio-temporal schedule featuring some slack, we present novel algorithms to orchestrate the use of this slack to improve performance of the supported applications.Our findings highlight the importance of two design principles. First, a-priori knowledge could be used e ectively for local resource management. Second, judicious coordination of node mobility could lead to signi cant performance gains for distributed applications. N° de réf. du vendeur 9783845419060
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