Cost and Performance-Based Resource Selection Scheme for Asynchronous Replicated System in Utility-Based Computing Environment

A resource selection problem for asynchronous replicated systems in utility-based computing environment is addressed in this paper. The needs for a special attention on this problem lies on the fact that most of the existing replication scheme in this computing system whether implicitly support synchronous replication and/or only consider read-only job. The problem is undoubtedly complex to be solved as two main issues need to be concerned simultaneously, i.e. 1) the difficulty on predicting the performance of the resources in terms of job response time, and 2) an efficient mechanism must be employed in order to measure the trade-off between the performance and the monetary cost incurred on resources so that minimum cost is preserved while providing low job response time. Therefore, a simple yet efficient algorithm that deals with the complexity of resource selection problem in utility-based computing systems is proposed in this paper. The problem is formulated as a Multi Criteria Decision Making (MCDM) problem. The advantages of the algorithm are two-folds. On one fold, it hides the complexity of resource selection process without neglecting important components that affect job response time. The difficulty on estimating job response time is captured by representing them in terms of different QoS criteria levels at each resource. On the other fold, this representation further relaxed the complexity in measuring the trade-offs between the performance and the monetary cost incurred on resources. The experiments proved that our proposed resource selection scheme achieves an appealing result with good system performance and low monetary cost as compared to existing algorithms

D²ISCO: diseño de sistemas CBR deliberativos distribuidos con jCOLIBRI

En este proyecto describimos D²ISCO*: una plataforma para diseñar e implementar sistemas de Razonamiento Basado en Casos (CBR) deliberativos y colaborativos. Utilizando D2ISCO podemos diseñar e implementar sistemas CBR distribuidos donde cada nodo colabora, argumenta y contraargumenta sus resultados con otros nodos para mejorar el rendimiento de la respuesta global del sistema. D2ISCO se ha integrado como una parte de jCOLIBRI 2 [1] una reconocida plataforma en la comunidad CBR, permitiendo el desarrollo de sistemas CBR distribuidos. Hemos realizado un caso de estudio de un sistema de recomendación musical y presentamos los resultados de un experimento donde medimos la precisión del sistema utilizando una versión difusa del sistema de argumentación AMAL [2] y una topología de red basada en una red social. ---- *D²ISCO: sistemasa CBR Deliberativos DIStribuidos con jCOlibri [ABSTRACT] In this proyect we describe D²ISCO*: a framework to design and implement deliberative and collaborative Case Based Reasoning (CBR) systems. Using D2ISCO we design and implement distributed CBR systems where each node collaborates, arguments and counterarguments its local results with other nodes to improve the performance of the system’s global response. D2ISCO is integrated as a part of jCOLIBRI 2 [1] an established framework in the CBR community, enabling the developing of distributed CBR systems. We perform a case study for a collaborative music recommender system and present the results of an experiment of the accuracy of the system results using a fuzzy version of the argumentation system AMAL [2] and a network topology based on a social network. ----- * D²ISCO: Deliberative DIStributed CBR system with jCOlibr