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Reducing User Perceived Latency with a Middleware for Mobile SOA Access

Göb, Andreas ; Schreiber, Daniel ; Hamdi, Louenas ; Aitenbichler, Erwin ; Mühlhäuser, Max (2009)
Reducing User Perceived Latency with a Middleware for Mobile SOA Access.
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2009
Autor(en): Göb, Andreas ; Schreiber, Daniel ; Hamdi, Louenas ; Aitenbichler, Erwin ; Mühlhäuser, Max
Art des Eintrags: Bibliographie
Titel: Reducing User Perceived Latency with a Middleware for Mobile SOA Access
Sprache: Deutsch
Publikationsjahr: 2009
Buchtitel: Proceedings of the 7th IEEE Conference on Web Services (ICWS)
Kurzbeschreibung (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.

Freie Schlagworte: - SE - Area Smart Environments;- SE: Ambient Service Discovery
ID-Nummer: TUD-CS-2009-0272
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Telekooperation
Hinterlegungsdatum: 31 Dez 2016 12:59
Letzte Änderung: 14 Jun 2021 06:14
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