Controlling quality‐of‐service in distributed real‐time and embedded systems via adaptive middleware

Schantz, Richard; Loyall, Joseph; Rodrigues, Craig; Schmidt, Douglas C.

doi:10.1002/spe.761

Cited by 13 publications

(7 citation statements)

References 16 publications

(18 reference statements)

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“…There are several proposals to map QoS into sessions; however they require proprietary modules on the end-systems and ''expert" users to select the most suitable class [23], which reduce the system flexibility. Ruy et al [24] proposed a centralized agent that classifies session requirements into service classes between networks with different QoS models.…”

Section: Related Workmentioning

confidence: 99%

Mobility management for multi-user sessions in next generation wireless systems

Cerqueira

Veloso

Neto

et al. 2008

Computer Communications

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Mobility management and ubiquitous access for real-time multi-user sessions with Quality of Service (QoS) support are major requirements to the success of next generation wireless systems. In this context, Multi-User Session Control (MUSC) is proposed to allow fixed and mobile users to access multi-user sessions ubiquitously, while providing QoS mapping, QoS adaptation and connectivity control in heterogeneous environments with mobile receivers and static senders. By interacting with resource allocation controllers, MUSC allows the construction of QoS-aware distribution trees over networks with different QoS models and aims to keep sessions with an acceptable quality of experience in congestion periods. Furthermore, by interacting with mobility controllers, MUSC assures the session continuity with QoS and connectivity support. MUSC was evaluated in a simulation and in an experimental environment to analyze its convergence time as well as its efficiency in allowing seamless mobility and in keeping sessions with an acceptable quality level during handover.

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Section: Related Workmentioning

confidence: 99%

Mobility management for multi-user sessions in next generation wireless systems

Cerqueira

Veloso

Neto

et al. 2008

Computer Communications

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“…A different QoS mapping solution is introduced by Schantz et al [13] to control the quality level of sessions in DiffServ-aware home networks. Based on the congestion notification sent by resource allocation controllers, receivers may request the mapping of the session into a less important class.…”

Section: Related Workmentioning

confidence: 99%

QoS Support for Multi-user Sessions in IP-based Next Generation Networks

et al. 2008

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A combined control of multimedia quality level, mobility and allocation of network resources is essential for the success of next generation mobile networks. In this context, this article presents the Multi-user Session Control (MUSC) solution to control the quality level of multimedia sessions shared by multiple-users, providing Quality of Service (QoS) mapping and QoS adaptation for those sessions over heterogeneous and mobile networks. MUSC uses the self-organized principle to coordinate QoS mapping and QoS adaptation mechanisms with mobility and resource allocation controllers, allowing the adaptation of a session to the current network conditions and the dynamic selection of the suitable network service class to map the session. MUSC minimizes the blocking probability, optimizes the usage of network resources and keeps sessions with an acceptable quality of experience.

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“…If the model is extended with stochastic variables, it is amenable to statistical model checking, a simulation‐based analysis with statistical guarantees, ie, finely controlled quality of results by various confidence parameters. This allows validating quantitative properties derived from requirements relevant to the IoT system's architecture …”

Section: Introductionmentioning

confidence: 99%

Model‐based design of IoT systems with the BIP component framework

et al. 2018

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The design of software for networked systems with nodes running an Internet of things operating system faces important challenges due to the heterogeneity of interacting things and the constraints stemming from the often limited amount of available resources. In this context, it is hard to build confidence that a design solution fulfills the application's requirements. This paper introduces a design flow for web service applications of the representational state transfer style that is based on a formal modeling language, the behaviour, interaction, priority (BIP) component framework. The proposed flow applies the principles of separation of concerns in a component-based design process that supports the modular design and reuse of model artifacts. The BIP tools for state-space exploration allow verifying qualitative properties for service responsiveness, ie, the timely handling of events. Moreover, essential quantitative properties are validated through statistical model checking of a stochastic BIP model. All properties are preserved in actual implementation by ensuring that the deployed code is consistent with the validated model. We illustrate the design of a representational state transfer sense-compute-control application for a Wireless Personal Area Network architecture with nodes running the Contiki operating system. The results validate qualitative and quantitative properties for the system and include the study of error behaviours.

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Controlling quality‐of‐service in distributed real‐time and embedded systems via adaptive middleware

Abstract: An increasingly important and challenging problem for distributed real-time and embedded (DRE)

Cited by 13 publications

References 16 publications

Mobility management for multi-user sessions in next generation wireless systems

Mobility management for multi-user sessions in next generation wireless systems

QoS Support for Multi-user Sessions in IP-based Next Generation Networks

Model‐based design of IoT systems with the BIP component framework

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