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High Performance Distributed Objects using Caching Proxies for Large Scale Applications
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P. Martin,
V. Callaghan, and
A. Clark
View Paper (PDF)
Return to Track II: Performance
Initial implementations of Middleware based on standards such as CORBA have concentrated on host and language transparency issues in order to demonstrate interoperability. They have largely adopted a No-Replication approach and have frequently neglected performance-at-scale issues. This has lead to a continuing deployment of either non-scalable Full-Replication approaches or ad-hoc messaging-based Middleware for applications such as Intelligent Networks, WWW applications and Collaborative Virtual Reality. These applications require millions of objects globally distributed across hundreds of hosts and demand a very high throughput of low-latency method invocations.
Our main research aim is to be able to reason about the performance of such applications when using scalable Partial-Replication and Object-Oriented approaches to Middleware.
Our approach is to use a simulator to explore potential design and implemention choices. Our current simulator-driven design, called "MinORB", has been fully implemented and tested. MinORB supports scaleable high-performance by a combination of techniques including weak and application-specified consistency and partial replication using fine-grained proxy caching.
Experimental results show that our work compares very favorably with other leading implementations such as OmniORB. Scalability is unparalleled with up to 1,000,000,000 objects per address space, a maximum throughput of 42,000 invocations per second and service times as low as 4 microseconds.
Copyright(C) 2000 ACM
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