Shared data allocation in a mobile computing system: exploring local and global optimization

2005 ◽  
Vol 16 (4) ◽  
pp. 374-384 ◽  
Author(s):  
Wen-Chih Peng ◽  
Ming-Syan Chen
Keyword(s):  
Global Optimization ◽  
Mobile Computing ◽  
Computing System ◽  
Data Allocation ◽  
Shared Data

scholarly journals Data Allocation Strategy Based on Users Moving in a Mobile Computing Environment

2012 ◽  
Vol 6-7 ◽  
pp. 404-409
Author(s):  
Jin Cai Yang ◽  
Qi Chen ◽  
Zhong Hua Wang ◽  
Jin Zhu Hu
Keyword(s):  
Mobile Computing ◽  
Communication Overhead ◽  
Data Allocation ◽  
Allocation Strategy ◽  
Computing Environment ◽  
Allocation Algorithm ◽  
Shared Data ◽  
Mobile Computing Environment ◽  
Better Than ◽  
Moving Pattern

Mobile users tend to submit transactions to servers nearby for execution so as to minimize the communication overhead incurred. Data replication is helpful because it can improve execution performance of servers and reduce network traffic. In this paper, a new algorithm named SDMP (shared data allocation algorithm based on moving pattern) is proposed, which takes not only the user’s pattern but also the frequency of user’s appearance according to the user’s path log into account. Experimental results show the SDMP algorithm is better than other algorithms used for data allocation for servers.

Design of Wearable Computing Systems for Future Industrial Environments

2011 ◽  
pp. 1226-1245
Author(s):  
Pierre Kirisci ◽  
Ernesto Morales Kluge ◽  
Emanuel Angelescu ◽  
Klaus-Dieter Thoben
Keyword(s):  
Mobile Computing ◽  
Design Process ◽  
Reference Model ◽  
Wearable Computing ◽  
Computing System ◽  
Context Aware ◽  
Context Model ◽  
Computing Systems ◽  
Model Driven ◽  
Industrial Environments

During the last two decades a lot of methodology research has been conducted for the design of software user interfaces (Kirisci, Thoben 2009). Despite the numerous contributions in this area, comparatively few efforts have been dedicated to the advancement of methods for the design of context-aware mobile platforms, such as wearable computing systems. This chapter investigates the role of context, particularly in future industrial environments, and elaborates how context can be incorporated in a design method in order to support the design process of wearable computing systems. The chapter is initiated by an overview of basic research in the area of context-aware mobile computing. The aim is to identify the main context elements which have an impact upon the technical properties of a wearable computing system. Therefore, we describe a systematic and quantitative study of the advantages of context recognition, specifically task tracking, for a wearable maintenance assistance system. Based upon the experiences from this study, a context reference model is proposed, which can be considered supportive for the design of wearable computing systems in industrial settings, thus goes beyond existing context models, e.g. for context-aware mobile computing. The final part of this chapter discusses the benefits of applying model-based approaches during the early design stages of wearable computing systems. Existing design methods in the area of wearable computing are critically examined and their shortcomings highlighted. Based upon the context reference model, a design approach is proposed through the realization of a model-driven software tool which supports the design process of a wearable computing system while taking advantage of concise experience manifested in a well-defined context model.

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