ISBN: 9786202519809 - dynamic network load balancing in large scale multimedia systems: multi-agent large-scale parallel crowd simulation (8 risultati)

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Taschenbuch. Condizione: Neu. Dynamic Network Load Balancing in Large Scale Multimedia Systems | Multi-agent large-scale parallel crowd simulation | K Venkata Subramanian (u. a.) | Taschenbuch | 76 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202519809 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A large-scale multimedia storage system (LMSS), which consists of a single server or multiple servers, manages the storage and retrieval of multimedia data from disk media. As a networked multimedia service is expected to serve a large pool of clients, it is impossible for a single server to meet all multimedia requirements such as continuous-time presentation, network bandwidth, etc. In a large-scale multimedia storage system where client requests for different multimedia objects may have different demands, the placement and replication of the objects is an important factor, as it may result in an imbalance in server loading across the system. Generally each object storage server responds to the requests that come from the centralized servers independently and has no communication with other OSSs in the system. But in this distributed load balancing strategy for LMSS, in which OSSs can cooperate to achieve higher performance. Such OSS system can replicate the objects to and balance the requests among other servers to achieve a near-optimal average waiting time (AWT) of the requests in the system. 76 pp. Englisch.…

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A large-scale multimedia storage system (LMSS), which consists of a single server or multiple servers, manages the storage and retrieval of multimedia data from disk media. As a networked multimedia service is expected to serve a large pool of clients, it is impossible for a single server to meet all multimedia requirements such as continuous-time presentation, network bandwidth, etc. In a large-scale multimedia storage system where client requests for different multimedia objects may have different demands, the placement and replication of the objects is an important factor, as it may result in an imbalance in server loading across the system. Generally each object storage server responds to the requests that come from the centralized servers independently and has no communication with other OSSs in the system. But in this distributed load balancing strategy for LMSS, in which OSSs can cooperate to achieve higher performance. Such OSS system can replicate the objects to and balance the requests among other servers to achieve a near-optimal average waiting time (AWT) of the requests in the system.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Subramanian K VenkataDr.K.Venkatasubramanian Post graduated M.S.(IT) at M .S.University, Tirunelveli,and got M.Tech.(IT) from Sathyabama University Chennai and Awarded Ph.D.(IT), SCSVMV University, Kanchipuram. He is currently workin.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A large-scale multimedia storage system (LMSS), which consists of a single server or multiple servers, manages the storage and retrieval of multimedia data from disk media. As a networked multimedia service is expected to serve a large pool of clients, it is impossible for a single server to meet all multimedia requirements such as continuous-time presentation, network bandwidth, etc. In a large-scale multimedia storage system where client requests for different multimedia objects may have different demands, the placement and replication of the objects is an important factor, as it may result in an imbalance in server loading across the system. Generally each object storage server responds to the requests that come from the centralized servers independently and has no communication with other OSSs in the system. But in this distributed load balancing strategy for LMSS, in which OSSs can cooperate to achieve higher performance. Such OSS system can replicate the objects to and balance the requests among other servers to achieve a near-optimal average waiting time (AWT) of the requests in the system.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.…