A Case for Replicated Client-Server Model for Optimal Application Response Time in the Presence of Unpredictable Network, Server Loads and Usage Patterns in Mobile Computing Environment
Author(s)
Chu, Hao-Hua
DOI
20060927122857835593
Abstract
this paper examines the fundamental limitation of adaptation based methods in the presence of unpredictability and instability in wireless network bandwidth, server loads, and usage patterns. We argue that existing adaptation based methods will fail to produce good application response time given such unpredictability and instability, because they require somehow accurate prediction on resource conditions and usage patterns in order to perform effectively. We propose a new, simple yet powerful, replicated client-server model which overcomes this fundamental problem of unpredictability and instability; at the same time, it can also achieve nearly as good application response time as any adaptation methods. The basic idea behind replicated client-server model is simple – application execution is replicated on both client and server, and the faster result is returned to the user. It provides the benefit of faster response time at the cost of computational overhead in replicating executions on both client and server. In other words, it is about trading off more computing resource with better application response time and user experience. As computing resource continues to be improved exponentially (according to Moore’s laws) in speed, capacity, price and abundance, we believe that improvement in user experience becomes appealing tradeoff for the computational overhead in replicating execution.
Publisher
臺北市:國立臺灣大學資訊工程學系
Type
journal article
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