Scalability is a stringent requirement to every evolving information system. One of the key solutions to the scalability is caching. Most distributed object caching systems to date offer only coarse-grained mechanism ...
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ISBN:
(纸本)0780390946
Scalability is a stringent requirement to every evolving information system. One of the key solutions to the scalability is caching. Most distributed object caching systems to date offer only coarse-grained mechanism in which an entire servant object graph is cached at once. Doing this minimizes cache miss frequency but imposes the long latency of cache miss resolution especially when the servant object graph is large or when the network load is high. Hence, it is preferable to compromise between this pair of performance metrics. Using fine-grained caching approach in which only necessary parts of the servant object graph are cached can satisfy both metrics at the same time. In this paper, we propose a framework that supports the incremental and automatic fine-grained caching of java objects at run time in transparent manner to client. This goal is efficiently achieved by means of proxy and hook mechanisms. Experimental results demonstrate that our framework incurs the latency of cache miss resolution by only one third of a remote invocation latency of java RML Furthermore, the proposed framework can deliver cache hit performance closely to that of java local invocation's while outperforming java RMI 1400 times.
Object caching is a common feature in the scalable distributed object systems. Fine-grained replication optimizes the performance and resource utilization in object caching by enabling a remote object-oriented applica...
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Object caching is a common feature in the scalable distributed object systems. Fine-grained replication optimizes the performance and resource utilization in object caching by enabling a remote object-oriented application to be partially and incrementally on-demand replicated in units of cluster. Despite these benefits, the lack of common and simple implementation framework makes the fine-grained replication scheme not extensively used. This paper proposes the novel frameworks for dynamic, transparent, partial and automatically incremental replication of distributed java objects based on three techniques that are lazy-object creation, proxy and hook. One framework enables the fine-grained replication of server-side stateful in-memory application, and the other framework enables the fine-grained replication of server-side stateless in-memory application, client-side program, or standalone application. The experimental evaluation demonstrates that the efficiency in terms of response time of both frameworks are relatively practical to the extent of a local method invocation.
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