Reducing User Perceived Latency with a Proactive Prefetching Middleware for Mobile SOA Access
| Autor: | Andreas Gob, Daniel Schreiber, Max Mühlhäuser, Erwin Aitenbichler |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Hardware_MEMORYSTRUCTURES
Computer Networks and Communications Computer science business.industry Critical factors 020206 networking & telecommunications Usability 02 engineering and technology Client-side Human-centered computing Sequence prediction Embedded system 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Cache Latency (engineering) business Mobile device Software Information Systems |
| Zdroj: | International Journal of Web Services Research |
| ISSN: | 1546-5004 1545-7362 |
| DOI: | 10.4018/jwsr.2011010104 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|