By Guoli Li, Vinod Muthusamy, Hans-Arno Jacobsen (auth.), Valérie Issarny, Richard Schantz (eds.)
This publication constitutes the refereed court cases of the ACM/IFIP/USENIX ninth overseas Middleware convention 2008, held in Leuven, Belgium, in December 2008.
The 21 revised complete papers offered have been rigorously reviewed and chosen from 117 submissions for inclusion within the publication. The papers are equipped in topical sections on systems prolonged to new services, complex software program engineering targeting particular procedure houses, method administration options, in addition to parts and process algorithms and properties.
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Extra resources for Middleware 2008: ACM/IFIP/USENIX 9th International Middleware Conference Leuven, Belgium, December 1-5, 2008 Proceedings
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Ch Abstract. Mobile phones are rapidly becoming the universal access point for computing, communication, and digital infrastructures. In this paper we explore the software architectures necessary to make the mobile phone a truly universal access point to any electronic infrastructure. We propose AlfredO, a lightweight middleware architecture that allows developers to construct applications in a modular way, organizing the applications into detachable tiers that can be distributed at will to dynamically configure multi-tier architectures between mobile phones and service providers.
The service provider is an identical machine in the same network. As depicted in Figure 4, also in these tests AlfredO performs very efficiently. 2 ms. Given the latency increase observed with 768 concurrent clients (not shown in the figure), it can be estimated that the scalability limit is between 400 and 800 clients. 6 ms, Method Invocation Time with Multiple Clients 5 Time (ms) 4 3 2 1 0 1 2 4 8 16 Number of Clients 32 64 128 Fig. 3. Invocation time with multiple concurrent clients on a single machine AlfredO: An Architecture for Flexible Interaction with Electronic Devices 35 Method Invocation Time with Multiple Clients on 6 Cluster Nodes 5 Time (ms) 4 3 2 1 0 6 12 24 48 96 Total Number of Clients 192 384 Fig.
5%, a reduction that is also enjoyed by all brokers downstream of the join point. In Fig. 8 we see that with the DPR algorithm, the simple composite subscription routing performs the worst, and the DCSR the best. Even compared to the topology-based approach, the DCSR algorithm manages to reduce the notification delay by 55%, by filtering out messages early in the network and hence reducing queueing delays. In this scenario, we also evaluate fixed and dynamic publication routing with the DCSR algorithm.