scholarly journals OUR: Optimal Update-based Replacement policy for cache in wireless data access networks with optimal effective hits and bandwidth requirements

2011 ◽  
pp. n/a-n/a
Author(s):  
Mursalin Akon ◽  
Mohammad Towhidul Islam ◽  
Xuemin Sherman Shen ◽  
Ajit Singh
Keyword(s):  
Data Access ◽  
Access Networks ◽  
Replacement Policy ◽  
Wireless Data

A bandwidth and effective hit optimal cache scheme for wireless data access networks with client injected updates

2012 ◽  
Vol 56 (7) ◽  
pp. 2080-2095 ◽  
Author(s):  
Mursalin Akon ◽  
Mohammad Towhidul Islam ◽  
Xuemin (Sherman) Shen ◽  
Ajit Singh
Keyword(s):  
Data Access ◽  
Access Networks ◽  
Wireless Data ◽  
Cache Scheme

Mobile Cache Management

2011 ◽  
pp. 32-59
Author(s):  
Jianliang Xu ◽  
Haibo Hu ◽  
Xueyan Tang ◽  
Baihua Zheng
Keyword(s):  
Data Access ◽  
Replacement Policy ◽  
Cache Replacement ◽  
Wireless Data ◽  
Mobile Data ◽  
Cache Consistency ◽  
Mobile Caching ◽  
The Cost ◽  
Client Side ◽  
Cache Replacement Policies

This chapter introduces advanced client-side data-caching techniques to enhance the performance of mobile data access. The authors address three mobile caching issues. The first is the necessity of a cache replacement policy for realistic wireless data-broadcasting services. The authors present the Min-SAUD policy, which takes into account the cost of ensuring cache consistency before each cached item is used. Next, the authors discuss the caching issues for an emerging mobile data application, that is, location-dependent information services (LDISs). In particular, they consider data inconsistency caused by client movements and describe several location-dependent cache invalidation schemes. Then, as the spatial property of LDISs also brings new challenges for cache replacement policies, the authors present two novel cache replacement policies, called PA and PAID, for location-dependent data.

Application of Wireless Data Grids for Health Informatics

2008 ◽  
pp. 61-67 ◽  
Author(s):  
Omer Mahmood
Keyword(s):  
Health Informatics ◽  
Data Access ◽  
Rural And Remote ◽  
Wireless Data ◽  
Remote Communities ◽  
Remote Areas ◽  
Lack Of Information ◽  
Health Practitioners ◽  
Rural And Remote Areas ◽  
Information And Communication

Distance and inaccessibility create special challenges for health practitioners in rural and remote areas. Health professionals in rural and remote areas face problems such as prescription concerns due to lack of information. This occurs due to a gap in knowledge regarding medications, as health practitioners do not have access to medical history of their patients. Frequent migration of patients in rural and remote communities results in the loss of patients’ medical records. In addition, doctors have limited access to therapeutic information, as searching the Internet from most remote communities is expensive and slow. In addition, frequent migration of patients in remote communities results in the loss of patients’ histories. This chapter proposes a refined conceptual health information management model based on the model presented by Mahmood (2006). The discussed model is based on the use of Data Grid technology and Data Recharging techniques employed in conjunction with wireless communication technologies to overcome the problems and challenges faced by health practitioners. The model categorizes the health establishments in remote areas into two categories on the basis of geographical characteristics and data access requirements. The discussed model aims to meet information and communication technology (ICT) requirements of health practitioners operating in each recognized category.

A Spatio-Temporal Cache Replacement Policy for Location Dependent Data in Mobile Environments

2010 ◽  
Vol 6 (3) ◽  
pp. 31-48 ◽  
Author(s):  
Mary Magdalene Jane.F ◽  
R. Nadarajan ◽  
Maytham Safar
Keyword(s):  
Data Access ◽  
Data Availability ◽  
Replacement Policy ◽  
Dependent Data ◽  
Access Time ◽  
Cache Replacement ◽  
Cache Replacement Policy ◽  
Active Sets ◽  
Mobile Clients ◽  
Spatio Temporal

Data caching in mobile clients is an important technique to enhance data availability and improve data access time. Due to cache size limitations, cache replacement policies are used to find a suitable subset of items for eviction from the cache. In this paper, the authors study the issues of cache replacement for location-dependent data under a geometric location model and propose a new cache replacement policy RAAR (Re-entry probability, Area of valid scope, Age, Rate of Access) by taking into account the spatial and temporal parameters. Mobile queries experience a popularity drift where the item loses its popularity after the user exhausts the corresponding service, thus calling for a scenario in which once popular documents quickly become cold (small active sets). The experimental evaluations using synthetic datasets for regular and small active sets show that this replacement policy is effective in improving the system performance in terms of the cache hit ratio of mobile clients.

A Secure Wireless Data Access Service for the Government of Canada

2007 ◽  
pp. 318-338
Author(s):  
Howie Macumber ◽  
Bing Cheung
Keyword(s):  
Data Access ◽  
Spectrum Management ◽  
Public Works ◽  
Wireless Data ◽  
Ieee 802.11B ◽  
Government Services ◽  
Access Service ◽  
The Government ◽  
Government Of Canada ◽  
Technological Perspective

This chapter examines work conducted by Public Works and Government Services Canada, a department of the Government of Canada (GoC), to assess the potential for a Secure Wireless Data Access Service (SWDAS) that is envisaged to be provided as a common service to departments and agencies of the GoC. The main focus of the work has been on Wi-Fi, especially the IEEE 802.11b standard, and its application. Areas examined include technology, security, spectrum management, user surveys, applications, business, ?nance, service trial, future trends, and recommendations for the implementation of Wi-Fi in government. It is demonstrated that the application of Wi-Fi technology in the GoC would be bene?cial for the government workforce from both a ?nancial and a technological perspective.

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