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Mostrar registro sencillo 2012-11-16T20:26:16Z 2012-11-16T20:26:16Z 1998-11
dc.description.abstract When allocating processors to processes in a distributed system, load balancing is a main concern of designers. By its implementation, system performance can be enhanced by equally distributing the dynamically changing workload and consequently user expectation are improved through an additional reduction on mean response time. In this way, through process migration, a rational and equitable use of the system computational power is achieved, preventing degradation of system performance due to unbalanced work of processors. This article presents an Adaptative Predictive Load Balancing Strategy (APLBS), a variation of Predictive Load Balancing Strategy (PLBS) reported elsewhere [1]. As PLBS, APLBS is a sender initiated, prediction-based strategy for load balancing. The predictive approach is based on estimates given by a weighted exponential average [12] of the load condition of each node in the system. The new approach tries to minimise traffic en the network selecting the most suitable subset of candidates to request migration and the novel aspect is that the size of this subset is adaptative with respect to the system workload. APLBS was contrasted against Random (R), PLBS and Flexible Load Sharing (FLS) [7] strategies on diverse scenarios where the load can be characterised as static or dynamic. A comparative analysis of mean response time, acceptance hit ratio and number of migration failures under each strategy is reported. en
dc.format.extent 11 p. es
dc.language en es
dc.title An efficient adaptative predictive load balancing method for distributed systems en
dc.type Objeto de conferencia es
sedici.creator.person Esquivel, Susana Cecilia es
sedici.creator.person Pereyra, C. es
sedici.creator.person Gallard, Raúl Hector es
sedici.description.note Sistemas Distribuidos - Redes Concurrencia es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.materias Informática es
sedici.subject.keyword distributed systems en
sedici.subject.keyword load balancing strategies en
sedici.subject.keyword mean response time en
sedici.subject.keyword acceptance hit ratio en
sedici.subject.keyword migration failures en
sedici.description.fulltext true es Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri 1998-10
sedici.relation.event IV Congreso Argentina de Ciencias de la Computación es
sedici.description.peerReview peer-review es
sedici.subject.acmcss98 Distributed Systems es
sedici.subject.acmcss98 Modeling and prediction es

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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)