&lt;title&gt;Adaptive middleware architecture for a distributed omnidirectional visual tracking system&lt;/title&gt;

Li, Baochun; Jeon, Won J.; Kalter, William; Nahrstedt, Klara; Seo, Jun Hyuk

doi:10.1117/12.373538

Cited by 9 publications

(9 citation statements)

References 10 publications

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“…Agilos (17] is about creating agile, adaptive middleware architecture to support application-aware QoS adaptation. One of its key components is called adaptor which monitors both [n comparison to our replicated client-server model, these related runtime adaptation systems have the following three limitations given unpredictability and instability in resource conditions and usage patterns.…”

Section: B Adaptation Methods and Limitationsmentioning

confidence: 99%

Replicated client-server execution to overcome unpredictability in mobile environment

You

Chu

2004

2004 4th Workshop on Applications and Services in Wireless Networks, 2004. ASWN 2004.

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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 may 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 have designed and implemented a new, simple yet powerful, replicated client-server model which overcomes this fundamental problem of unpredictability and instability. 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. L INTRODUCTION A Pplication response time is one of the key parameters that affect interactive user experience in Internet-based applications. In this paper, we would like to make a case for a new replicated client-server model that could achieve good application response time in the presence of unpredictable wireless network bandwidth, server loads, and usage patterns in mobile computing environment. The basic idea behind the replicated client-server model is simple -replicate, whenever possible, computation on both the mobile client device and remote server, and bring the faster result to the user. Although this model is simple, it works well to achieve good application response time in mobile and distributed computing environments, where unpredictability and instability in wireless network bandwidth, server loads, and usage patterns can occur frequently.Unpredictability and instability in resource conditions and usage patterns are known to be fundamental limitations for adaptation based methods. In general, adaptation methods make use of feedback-prediction-adjustment loop. If future resource conditions or usage patterns cannot be accurately predicted based on feedbacks, adaptation will fail -consider the example of optimizing application response time, inaccurate prediction on network bandwidth or server loads would produce misplacements of application components on mobile client device and server.

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Section: B Adaptation Methods and Limitationsmentioning

confidence: 99%

Replicated client-server execution to overcome unpredictability in mobile environment

You

Chu

2004

2004 4th Workshop on Applications and Services in Wireless Networks, 2004. ASWN 2004.

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“…Starting from the home DS to which a query is submitted (step 1), if no service ad (or summarized service ad -if it is a higher level DS) matches the query, the DS will forward the query up to its parent DS, and so on (steps 2, 3). If there is a match, the DS will forward the query downward to the children DS(es) which originally sent up this qualified summarized service ad (steps 4,5). From this point, the query may be coming down along multiple 'paths' in the hierarchy, because there may exist multiple qualified service ads.…”

Section: Basic Service Discovery Mechanismmentioning

confidence: 99%

“…However, in order to be understood by the DSes which are service-independent, the QoS level definition should conform to the following simple rule: the higher the QoS level, the better the QoS observed. Our experience with a Video-on-Demand service [12] and a Distributed Visual Tracking service [5], which have very different definitions of QoS levels, demonstrates the feasibility of implementing client-side software components in this fashion.…”

Section: Enhancement To Service Clientsmentioning

confidence: 99%

QoS-aware discovery of wide-area distributed services

Nahrstedt²,

Wichadakul

Proceedings First IEEE/ACM International Symposium on Cluster Computing and the Grid

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“…A distributed video stream server [41] needs to maintain a specific frame rate and can do so by altering the levels of fidelity for the video data. Similarly, distributed visual tracking systems [38] need on-the-fly adaptation as the available bandwidth varies. Real-Time Visualization: Large scale volume rendering involves an increasing amount of data, which makes interactive rendering infeasible.…”

Section: Target Applicationsmentioning

confidence: 99%

Language and Compiler Support for Adaptive Applications

Agrawal

Proceedings of the ACM/IEEE SC2004 Conference

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There exist many application classes for which the users have significant flexibility in the quality of output they desire. At the same time, there are other constraints, such as the need for real-time response or limit on the consumption of certain resources, which are more crucial. This paper provides a combined language/compiler and runtime solution for supporting adaptive execution of these applications, i.e., to allow them to achieve the best precision while still meeting the specified constraint at runtime.The key idea in our language extensions is to have the programmers specify adaptation parameters, i.e, the parameters whose values can be varied within a certain range. A program analysis algorithm states the execution time of an application component as a function of the values of the adaptation parameters and other runtime constants. These constants are determined by initial runs of the application in the target environment. We integrate this work with our previous work on supporting coarse-grained pipelined parallelism, and thus support adaptive execution for data-intensive applications in a distributed environment.Our experimental results on three applications have shown that our combined compile-time/runtime model can predict the execution times quite well, and therefore, support adaptation to meet a variety of constraints.

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<title>Adaptive middleware architecture for a distributed omnidirectional visual tracking system</title>

Cited by 9 publications

References 10 publications

Replicated client-server execution to overcome unpredictability in mobile environment

Replicated client-server execution to overcome unpredictability in mobile environment

QoS-aware discovery of wide-area distributed services

Language and Compiler Support for Adaptive Applications

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