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Journal ArticleDOI

A survey of envelope processes and their applications in quality of service provisioning

Shiwen Mao, +1 more
- 01 Jul 2006 - 
- Vol. 8, Iss: 3, pp 2-20
TLDR
A survey on arrival EPs and service curves is provided to provide a comprehensive survey of existing work, which can yield useful insights, and help the development of new QoS metrics, mechanisms, and architectures for emerging network environments.
Abstract
Provisioning of quality of service (QoS) guarantees has become an increasingly important and challenging topic in the design of the current and the next-generation Internet. The class of envelope processes (EPs) is one of the key elements for many QoS provisioning mechanisms. An arrival EP A(τ) (or a service curve) bounds the cumulative traffic of a flow (or the cumulative service a flow receives) over any interval of length τ. Such bounds can be deterministic or probabilistic, and can be used for provisioning of deterministic or statistical service guarantees. In this article we provide a survey on arrival EPs and service curves. We provide an overview of various EPs proposed in the literature during the last 15 years and discuss their applications and performance in QoS provisioning. We aim to provide a big picture of the existing work. There is considerable research effort addressing QoS issues in resource-constrained access networks (such as wireless networks) and in the new multiprotocol label switching (MPLS) and peer-to-peer (P2P) networking paradigms. We aim to provide a comprehensive survey of existing work, which can yield useful insights, and help the development of new QoS metrics, mechanisms, and architectures for emerging network environments.

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Citations
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Journal ArticleDOI

Survey of deterministic and stochastic service curve models in the network calculus

TL;DR: In this paper, the authors survey the state-of-the-art of the deterministic and the recent probabilistic network calculus and discuss the use of service curves, its use in the network calculus, and the relation to systems theory under the min-plus algebra.

Deterministic and stochastic service curve models in the network calculus

Markus Fidler
TL;DR: The state-of-the-art of the deterministic and the recent probabilistic network calculus is surveyed and stochastic service curve models allow utilizing the statistical multiplexing gain in a network calculus framework that features end-to-end network analysis by convolution of service curves.
Journal ArticleDOI

A Guide to the Stochastic Network Calculus

TL;DR: An intuitive approach to the stochastic network calculus is contributed, where the method uses moment generating functions, known from the theory of effective bandwidths, to characterize traffic arrivals and network service.
Journal ArticleDOI

Emotion Communication System

TL;DR: A pillow robot speech emotion communication system is designed, where the pillow robot acts as a medium for user emotion mapping and the real-time performance of the whole communication process in the scene of a long distance communication between a mother-child users’ pair is analyzed.
Proceedings ArticleDOI

Perspectives on network calculus: no free lunch, but still good value

TL;DR: It is demonstrated that the statistical multiplexing gain scales as Ω(√N), as long as some small violations of system performance constraints are tolerable, which demonstrates that the network calculus can capture actual system behavior tightly when applied carefully.
References
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Journal ArticleDOI

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Journal ArticleDOI

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Journal ArticleDOI

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