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Reducing User Perceived Latency with a Middleware for Mobile SOA Access

Göb, Andreas and Schreiber, Daniel and Hamdi, Louenas and Aitenbichler, Erwin and Mühlhäuser, Max :
Reducing User Perceived Latency with a Middleware for Mobile SOA Access.
Proceedings of the 7th IEEE Conference on Web Services (ICWS)
[Conference or Workshop Item] , (2009)

Abstract

Network latency is one of the most critical factors for the usability of mobile SOA applications. This paper introduces prefetching and caching enhancements for an existing SOA framework for mobile applications to reduce the user perceived latency. Latency reduction is achieved by proactively sending data to the mobile device that could most likely be requested at a later time. This additional data is piggybacked onto responses to actual requests and injected into a client side cache, so that it can be used without an additional connection. The prefetching is done automatically using a sequence prediction algorithm. The benefit of prefetching and caching enhancements were evaluated for different network settings and a reduction of user perceived latency of up to 31% was found in a typical scenario. In contrast to other prefetching solutions, our piggybacking approach also allows to significantly increase battery lifetime of the mobile device.

Item Type: Conference or Workshop Item
Erschienen: 2009
Creators: Göb, Andreas and Schreiber, Daniel and Hamdi, Louenas and Aitenbichler, Erwin and Mühlhäuser, Max
Title: Reducing User Perceived Latency with a Middleware for Mobile SOA Access
Language: German
Abstract:

Network latency is one of the most critical factors for the usability of mobile SOA applications. This paper introduces prefetching and caching enhancements for an existing SOA framework for mobile applications to reduce the user perceived latency. Latency reduction is achieved by proactively sending data to the mobile device that could most likely be requested at a later time. This additional data is piggybacked onto responses to actual requests and injected into a client side cache, so that it can be used without an additional connection. The prefetching is done automatically using a sequence prediction algorithm. The benefit of prefetching and caching enhancements were evaluated for different network settings and a reduction of user perceived latency of up to 31% was found in a typical scenario. In contrast to other prefetching solutions, our piggybacking approach also allows to significantly increase battery lifetime of the mobile device.

Title of Book: Proceedings of the 7th IEEE Conference on Web Services (ICWS)
Uncontrolled Keywords: - SE - Area Smart Environments;- SE: Ambient Service Discovery
Divisions: Department of Computer Science
Department of Computer Science > Telecooperation
Date Deposited: 31 Dec 2016 12:59
Identification Number: TUD-CS-2009-0272
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