Disconnected operation in the Coda File System
ACM Transactions on Computer Systems (TOCS)
A status report on research in transparent informed prefetching
ACM SIGOPS Operating Systems Review
Intelligent file hoarding for mobile computers
MobiCom '95 Proceedings of the 1st annual international conference on Mobile computing and networking
A class of mobile motion prediction algorithms for wireless mobile computing and communication
Mobile Networks and Applications - Special issue: routing in mobile communications networks
Modeling and evaluation of prefetching policies for context-aware information services
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Mobile awareness in a wide area wireless network of info-stations
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Using semantic caching to manage location dependent data in mobile computing
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Exploiting location information for infostation-based hoarding
Proceedings of the 7th annual international conference on Mobile computing and networking
Using Predictive Prefetching to Improve Location Awareness of Mobile Information Service
ICCS '02 Proceedings of the International Conference on Computational Science-Part III
Semantic Data Caching and Replacement
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
The Multics Input/Output system
SOSP '71 Proceedings of the third ACM symposium on Operating systems principles
Improving prediction level of prefetching for location-aware mobile information service
Future Generation Computer Systems - Special issue: Modeling and simulation in supercomputing and telecommunications
An adaptive network prefetch scheme
IEEE Journal on Selected Areas in Communications
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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 techniques as well as caching or prefetching have been studied. However most of them are not sufficient in providing the 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.