Distributed computing has emerged as a promising solution to the inherent drawbacks of monolithic (stand-alone) computing. Common Object Request Broker Architecture (CORBA) has become a de facto in developing distributed applications due to its standardized architecture, and easy interoperability among distributed components managed by an Object Request Broker (Om).. This paper describes how CORBA standard was successfully used in developing a distributed stock exchange application, a trpical three tiers (clients, brokers, stock exchange) application that has many distributed components and a high database hit rate. The Kuala Lumpur Stock Exchange (KLSE) was taken as a model of study in developing this appIication. CORBA event service was heavily used to cater for the communication needs of this application. Unified Modeling Language (UML) was used to develop the analysis and design deliverables of the application while VisBroker and Java were respectively the ORB and programming language used to implement the Interface Definition Language (IDL) files developed.
Network latency is often used as an optimization parameter for network path construction over the Internet for various real-time applications. This paper proposes a high accuracy prediction tree method for latency estimation minimizing the need for intrusive mesh measurements. The network overlay of communication nodes is represented as a tree structure, called a prediction tree, with the latency of unmeasured network links predicted based on selected measured network links. We describe three novel heuristics that are the foundations of this high accuracy prediction tree, assisted by optimal target node selection and elimination of imprecise prediction steps. We have examined the proposed method based on publicly available data to ensure accuracy of high precision latency estimation process. Experiment results show that with 50% measurement, our proposed algorithm obtains 82% accuracy of latency prediction over a 120-node network.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.