End-to-End Quality of Service Management for Distributed Real-Time Embedded Applications

Multimedia sensor networks for real-time applications have strict constraints on delay, packet loss, and energy consumption requirements. For example, video streaming in a disaster-management scenario requires careful handling to ensure that the end-to-end delay is within the acceptable range and the video is received properly without any distortion. The failure to transmit a video stream effectively occurs for many reasons, including sensor function limitations, excessive power consumption, and a lack of routing reliability. We propose a novel mathematical model for quality of service (QoS) route determination that enables a sensor to determine the optimal path for minimising resource use while satisfying the required QoS constraints. The proposed mathematical model uses the Lagrangian relaxation mixed integer programming technique to define critical parameters and appropriate objective functions for controlling the adaptive QoS constrained route discovery process. Performance trade-offs between QoS requirements and energy efficiency were simulated using the LINGO mathematical programming language. The proposed approach significantly improves the network lifetime, while reducing energy consumption and decreasing average end-to-end delays within the sensor network via optimised resource sharing in intermediate nodes compared with existing routing algorithms.

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Achieving end-to-end real-time Quality of Service with Software Defined Networking

2014 IEEE 3rd International Conference on Cloud Networking (CloudNet) ◽

10.1109/cloudnet.2014.6968971 ◽

2014 ◽

Cited By ~ 26

Author(s):

Jochen W. Guck ◽

Wolfgang Kellerer

Keyword(s):

Quality Of Service ◽

Real Time ◽

Software Defined Networking ◽

End To End

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Model Driven Engineering for Quality of Service Management

Journal of Database Management ◽

10.4018/jdm.2016100102 ◽

2016 ◽

Vol 27 (4) ◽

pp. 24-38 ◽

Cited By ~ 1

Author(s):

Salwa M'barek ◽

Leila Baccouche ◽

Henda Ben Ghezala

Keyword(s):

Quality Of Service ◽

Real Time ◽

Service Management ◽

Software Tool ◽

Model Driven Engineering ◽

Time Data ◽

Arrival Times ◽

Model Driven ◽

Real Time Data

Real-time applications managing a large number of real-time data require the use of Real-time Database Management Systems (RTDBMS) to meet temporal constraints of both real-time data and transactions. However, a RTDBMS has a dynamic workload and may be frequently overloaded since the arrival times and workloads of user transactions are unpredictable. Therefore, Quality of Service management solutions have been proposed to guarantee the stability of RTDBMS even during unpredictable overload periods. While effective, the design and reuse of these solutions is challenging because they are not formally modeled and there is no tool neither a methodology that helps us design such solutions. To address these issues, the authors propose a design framework based on the Model-Driven Engineering approach providing a modeling architecture, a strategic methodology and a software tool to support modeling and reusing such solutions. The framework is implemented and tested for a real Qos management solution.

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