Prefetching Architecture for Hot-Spotted Network

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ABSTRACT High-speed wireless access networks are studied for future wireless multimedia applications. In such an environment, a mobile host moving with high-speed like a car cannot have enough time for communication as the cell size will be very small and be configured discontinuously. In this paper, we propose a prefetch architecture referred as to Proactive Data Transfer for these networks. In this architecture, cellular network are also utilized for sending data prefetch request, and the data is prefetched at Prefetch Agent located in high-speed wireless networks. Proactive Data Transfer enables a user to start high-speed data communication as soon as she enters into the area. Moreover, throughput deterioration caused by congestion of backbone network can be alleviated. We also show the effect of proactive data transfer by experimentation.

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    ABSTRACT: Mobile devices are becoming smaller and smaller, ubiquitous, and connectable to various networks. Access to data while on the move provides for constant updates anytime and anywhere. Nowadays the relevance of information depends to a large extent on a user's position. In consequence location-awareness becomes more and more important for delivering relevant data. The way users request information can be described as 'burst-like', whereby the availability of seamless access to information and communication is a major concern for mobile users. The latter is a challenging task when dealing with unstable and low-bandwidth wireless networks, especially in areas that are not or only poorly covered. Prefetching is an elegant technique to handle information provisioning for users under these circumstances. In this paper, new strategies for prefetching in a location-aware surrounding are investigated.
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    ABSTRACT: With the proliferation of WiFi technology, many WiFi net- works are accessible from vehicles on the road making ve- hicular WiFi access realistic. However, several challenges exist: long latency to establish connection to a WiFi access point (AP), lossy link performance, and frequent disconnec- tions due to mobility. We argue that people drive on famil- iar routes frequently, and thus the mobility and connectiv- ity related information along their drives can be predicted with good accuracy using historical information - such as GPS tracks with timestamps, RF fingerprints, and link and network-layer addresses of visible APs. We exploit such in- formation to develop new handoff and data transfer strate- gies. The handoff strategy reduces the connection establish- ment latency and also uses pre-scripted handoffs triggered by change in vehicle location. The data transfer strategy speeds up download performance by using prefetching on the APs yet to be encountered. Experimental performance evaluation reveals that the predictability of mobility and connectivity is high enough to be useful in such protocols. In our experiments with a vehicular client accessing road-side APs, the handoff strategy improves download performance by roughly a factor of 2 relative to the state-of-the-art. The data transfer strategy further improves this performance by another factor of 2.5.
    Proceedings of the 7th International Conference on Mobile Systems, Applications, and Services (MobiSys 2009), Kraków, Poland, June 22-25, 2009; 01/2009
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    ABSTRACT: This paper proposes a mobile computing prefetching method considering the user’s interest and the common popularity. For mobile computing environments, there exist restrictions as like bandwidth, latency and traffic. Since, in the present, we prefer the united multimedia mobile information service to the voice-based one, these obstacles are regarded as big problems. To solve those problems, a variety of techniquesas well as caching or prefetching have been studied. However most of them are not sufficient in providingthe amount of data that the user wants. We suggest a prefetching method to bring information early by using information about the user’s former interest and the popularity. Comparing to the previous methods in numerical results, the proposed method improves the prefetching performance to give the maximum effectiveness and reduces the failure rate of information searching.
    05/2005: pages 18-19;


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