Application of mobile user's location prediction to location server restoration

被引：0

作者：

Park, CY ^{[1
]}

Gil, J ^{[1
]}

Jeong, YS ^{[1
]}

Hwang, CS ^{[1
]}

机构：

[1] Korea Univ, Dept Comp Sci & Engn, Seoul, South Korea

来源：

PROCEEDINGS OF 1999 SYMPOSIUM ON PERFORMANCE EVALUATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS | 1999年

关键词：

computer systems; mobile computing; neuro-fuzzy inference system; location server failure;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In mobile computing environment, it is important that location server maintains the exact current location of mobile users to locate the users for fast connection. Also, it is necessary to guarantee the availability of location information when one tries to connect to a mobile user. Thus, an explicit restoration against the location server failure is required for high quality of services. We captures some repetitive and regular patterns of user mobility by neuro-fuzzy inference system, and an aggressive restoration scheme using prediction is proposed to reconstruct a location information after location server failure. Our restoration scheme using prediction can locate the users lost by failure with less paging. And it does not have an extreme storage space and periodical backup process like in the checkpointing scheme.

引用

页码：169 / 175

页数：7

共 50 条

[1] User Location Prediction in Mobile Crowdsourcing Services
Jiang, Yun
He, Wei
Cui, Lizhen
Yang, Qian
[J]. SERVICE-ORIENTED COMPUTING (ICSOC 2018), 2018, 11236 : 515 - 523
[2] Server location in mobile computing
Mateus, GR
Loureiro, AAF
Rodrigues, RC
Goussevskaia, O
[J]. WCNC: 2000 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, VOLS 1-3, 2000, : 839 - 844
[3] Location Prediction Based on User Mobile Behavior Similarity
Qiao, Jianzhong
Li, Shengzhi
Lin, Shukuan
[J]. 2017 IEEE 23RD INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS), 2017, : 783 - 786
[4] Location & User Profile based Mobile Application Access
Chowdary, T. Neelima
Raj, P. Prudhvi
Anupama, Ch
Haritha, D.
[J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATICS AND ANALYTICS (ICIA' 16), 2016,
[5] Extreme learning machine for user location prediction in mobile environment
Mantoro, Teddy
Olowolayemo, Akeem
Olatunji, Sunday O.
Ayu, Media A.
Tap, Abu Osman Md.
[J]. INTERNATIONAL JOURNAL OF PERVASIVE COMPUTING AND COMMUNICATIONS, 2011, 7 (02) : 162 - +
[6] MINING USER PATTERNS FOR LOCATION PREDICTION IN MOBILE SOCIAL NETWORKS
Mourchid, Fatima
Habbani, Ahmed
El Koutbi, Mohamed
[J]. 2014 THIRD IEEE INTERNATIONAL COLLOQUIUM IN INFORMATION SCIENCE AND TECHNOLOGY (CIST'14), 2014, : 213 - 218
[7] Mobile Social Data Learning for User-Centric Location Prediction With Application in Mobile Edge Service Migration
Wu, Qiong
Chen, Xu
Zhou, Zhi
Chen, Liang
[J]. IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (05) : 7737 - 7747
[8] Will Mobile Computing's Future Be Location, Location, Location?
Vaughan-Nichols, Steven J.
[J]. COMPUTER, 2009, 42 (02) : 14 - 17
[9] Future Location Prediction of a Mobile User Using Historic Visiting Patterns
Kumari, Ananya
Chhabra, Chandan
Singh, Saurabh
[J]. PROCEEDINGS OF THE CONFLUENCE 2020: 10TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE & ENGINEERING, 2020, : 676 - 679
[10] Wireless mobile user's location in an indoor environment - an overview
Kumar, Ambuj
[J]. 2008 3RD INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEM SOFTWARE AND MIDDLEWARE AND WORKSHOPS, VOLS 1 AND 2, 2008, : 704 - 707

← 1 2 3 4 5 →