Managing end-to-end QoS in distributed embedded applications

Sharma, Prabha; Loyall, Joseph; Schantz, Richard; Ye, J.; Manghwani, Prakash; Gillen, Matthew; Heineman, George T.

doi:10.1109/mic.2006.58

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…2) Conducting tests in which participants listen to voice signals and assign subjective responses to samples. In early testing of this kind, the measures used were simply proportions of the sample responses that fell, or were expected 1 This section is an excerpt from [9] to fall, into certain categories. Thus, for example, outputs from the earliest attempts to predict voice quality with the so-called loss/noise grade of service model developed by AT&T in the mid 1960s were simply expected percentages:…”

Section: • Connection Usability Determined By What Is Experiencedmentioning

confidence: 99%

“…Closer to the objectives of this work, are the proposals of communications resources management. In [1], the authors' middleware QoS management approach encapsulates QoS behaviors as software components. Using the Corba component model, they build these specialized QoS components and combine them to produce a comprehensive management system that maintains QoS.…”

Section: Introductionmentioning

confidence: 99%

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Experimental Characterization and Modeling of the QoS for Real Time Audio and Video Transmission

Amazonas¹,

Barra²

2006

Journal of Communication and Information Systems

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Multimedia applications have intrinsic quality of service (QoS) requirements. However, a quantitative evaluation of the QoS offered by the network is rarely realized. Furthermore, the traditional methods for ensuring an end-to-end QoS rely on mechanisms provided by the distribution network. In this paper we propose a new quantitative QoS model that is validated by extensive experimental characterization of the QoS dependence on traffic parameters. This model is then used to design a QoS restoration technique that is independent of special resources available in the distribution network.

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Section: • Connection Usability Determined By What Is Experiencedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental Characterization and Modeling of the QoS for Real Time Audio and Video Transmission

Amazonas¹,

Barra²

2006

Journal of Communication and Information Systems

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Composing and Decomposing QoS Attributes for Distributed Real-Time Systems: Experience to Date and Hard Problems Going Forward

Schantz¹,

Loyall²

2008

Composition of Embedded Systems. Scientific and Industrial Issues

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QoS Allocation Algorithms for Publish-Subscribe Information Space Middleware

Loyall¹,

Gillen²,

Sharma³

2008

Middleware 2008

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Abstract. Information spaces have emerged as a powerful concept for providing managed exchange of information between members of communities of interest (COIs), including information brokering and dissemination by publishsubscribe-query middleware. To support COIs with real-time or critical information exchange requirements, information spaces require quality of service (QoS) management algorithms that consider the complex system dynamics within information spaces, that allocate multiple resources, and that scale to information spaces of reasonable size. This paper presents two algorithms for multi-resource QoS allocation within information spaces. The first algorithm always provides an optimal allocation and includes optimizations that enable it to scale to information spaces of moderate size. The second algorithm is an approximation algorithm that provides near optimal solutions in most situations and scales to much larger information spaces. The paper also presents analyses and experimental results of the effectiveness and efficiency of the algorithms.

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Managing end-to-end QoS in distributed embedded applications

Cited by 5 publications

References 14 publications

Experimental Characterization and Modeling of the QoS for Real Time Audio and Video Transmission

Experimental Characterization and Modeling of the QoS for Real Time Audio and Video Transmission

Composing and Decomposing QoS Attributes for Distributed Real-Time Systems: Experience to Date and Hard Problems Going Forward

QoS Allocation Algorithms for Publish-Subscribe Information Space Middleware

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