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2009 IEEE International Conference on Communications Technology and Applications, IEEE ICCTA2009

作者： Guangxi, Cheng Zhihan, Liu Hua, Zou Hao, Dong State Key Laboratory of Networking and Switching Beijing University of Posts and Telecommunications Beijing China System Architecture Department Communication Services RandD Institute Zhong Xing Telecommunication Equipment Company Limited China

ISBN: (纸本)9781424448203

This paper introduces a novel design of the Behavioral Analysis Capability in Mobile SNS. The capability has a basic part comprises relationship based interface, content based interface and time based interface. The basic capability can either provide APIs directly up to applications or encapsulate into advanced capability with the core of relationship based interface. Afterwards, explaining the usability of this capability through its disposition in Mobile SNS. Finally, by using basic and advanced interfaces respectively, two typical application examples represent the practicability of Behavioral Analysis Capability. ©2009 IEEE.

关键词： Application programming interfaces (API)

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Predicting real-time properties of component assemblies: a scenario-simulation approach

Predicting real-time properties of component assemblies: a s...

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EUROMICRO Conference

作者： E. Bondarev J. Muskens P. de With M. Chaudron J. Lukkien System Architecture and Networking and Video Coding and Architectures groups Eindhovan University of Technology Eindhoven Netherlands System Architecture and Networking and Video Eindhovan University of Technology Eindhoven Netherlands Coding and Architectures groups Eindhovan University of Technology Eindhoven Netherlands

This work addresses the problem of predicting timing properties of multitasking component assemblies during the design phase. For real-time applications, it is of vital importance to guarantee that the timing requirements of an assembly are met. We propose a simulation-based approach for predicting the real-time behaviour of an assembly based on models of its constituent components. Our approach extends the scenario-based method in [J. Muskens et al. (2004)] by offering a system model that is tailored to the domain of real-time applications. Contributions of This work include the possibility to handle the following features: mutual exclusion, combinations of aperiodic and periodic tasks and synchronization constraints. The analytical approach we used in previous work cannot handle these features. Therefore, we introduce the simulation-based approach. Our simulator provides data about dynamic resource consumption and real-time properties like response time, blocking time and number of missed deadlines per task. We have validated our approach using a video-decoder application.

关键词： Real time systems Timing Predictive models Computer architecture Time to market Application software Accuracy Assembly systems Bonding Delay

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Modelling of input-parameter dependency for performance predictions of component-based embedded systems

Modelling of input-parameter dependency for performance pred...

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Euromicro Conference on Software Engineering and Advanced Applications (SEAA)

作者： E. Bondarev P. de With M. Chaudron J. Muskens Video Coding and Architectures Groups Eindhovan University of Technology Netherlands System Architecture and Networking Eindhovan University of Technology Netherlands

The guaranty of meeting the timing constraints during the design phase of real-time component-based embedded software has not been realized. To satisfy real-time requirements, we need to understand behaviour and resource usage of a system over time. In this paper, we address both aspects in detail by observing the influence of input data on the system behaviour and performance. We extend an existing scenario simulation approach that features the modelling of input parameter dependencies and simulating the execution of the models. The approach enables specification of the dependencies in the component models, as well as initialisation of the parameters in the application scenario model. This gives a component-based application designer an explorative possibility of going through all possible execution scenarios with different parameter initialisations, and finding the worst-case scenarios where the predicted performance does not satisfy the requirements. The identification of these scenarios is important because it avoids system redesign at the later stage. In addition, the conditional behaviour and resource usage modelling with respect to the input data provide more accurate prediction.

关键词： Predictive models Embedded system Computer architecture Embedded software Real time systems Time to market Application software Encoding Software engineering Bonding

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A Topology-Cognitive Algorithm Framework for Virtual Network Embedding Problem

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China Communications 2014年第4期11卷 73-84页

作者： HUANG Tao LIU Jiang CHEN Jianya LIU Yunjie State Key Laboratory of Networking and Switching Technology Beijing University of Post and Telecommunications Beijing 100876 China Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing 100876 China

The virtual network embedding/mapping problem is an important issue in network virtualization in Software-Defined networking(SDN).It is mainly concerned with mapping virtual network requests,which could be a set of SDN flows,onto a shared substrate network automatically and *** researches mainly focus on developing heuristic algorithms for general topology virtual *** practice however,the virtual network is usually generated with specific topology for specific ***,it is a challenge to optimize the heuristic algorithms with these topology *** order to deal with this problem,we propose a topology-cognitive algorithm framework,which is composed of a guiding principle for topology algorithm developing and a compound *** compound algorithm is composed of several subalgorithms,which are optimized for specific *** develop star,tree,and ring topology algorithms as examples,other subalgorithms can be easily achieved following the same *** simulation results show that the topology-cognitive algorithm framework is effective in developing new topology algorithms,and the developed compound algorithm greatly enhances the performance of the Revenue/Cost(R/C) ratio and the Runtime than traditional heuristic algorithms for multi-topology virtual network embedding problem.

关键词： network virtualization software- defined networking virtual network embedding topology-cognitive

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Design of intelligent capabilities in SDN 4

Design of intelligent capabilities in SDN

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2014 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace and Electronic systems, VITAE 2014 - Co-located with Global Wireless Summit

作者： Cui, Hongyan Zhu, Yabo Yao, Yuan Yufeng, Li Liu, Yunjie Beijing Key Lab. of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China State Key Lab. of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China Information Engineering University of the People's Liberation Army Zhenzhou China

ISBN: (纸本)9781479946266

Software-Defined networking (SDN) is an innovative and programmable networking architecture, representing the direction of the future network evolution. In this paper, we propose an architecture to introduce traffic classification techniques into the OpenFlow-based SDN network, which enables the network to be application-aware, so the network could distinguish various applications flows and know the requirements of different flows. Our new architecture also take advantage of the new intelligence to make the network forward traffic flows based flows' demands on bandwidth and delay, which could improve Quality of Service (QoS) of applications and optimize resource allocation all over the network. © 2014 IEEE.

关键词： Quality of service

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Exploiting machine learning for intelligent room lighting applications

Exploiting machine learning for intelligent room lighting ap...

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International IEEE Conference on Intelligent systems, IS

作者： Aravind Kota Gopalakrishna Tanir Özçelebi Antonio Liotta Johan J. Lukkien Department of Mathematics and Computer Science System Architecture and Networking Netherlands Electro-Optical Communications Department of Electrical Engineering Eindhovan University of Technology Netherlands

Research has shown that environment lighting influences the behavior of the employees in an office setting highly, making lighting configuration in an office space crucial. A breakout area may be used by the employees for various activities that need to be supported by different lighting conditions, e.g. informal meetings or personal retreat. The desired lighting conditions depend on user preferences and other contextual data observable in the environment. In this paper, we introduce a new method for building prediction models to provide intelligent lighting in our pilot breakout area. Based on a set of pre-defined features that are expected to have influence on the users' choice in selecting a desired lighting environment, we introduce a probabilistic model for generating synthetic data. We also discuss and compare the performances of various rule-based classification models on the synthetic data and find `DecisionTable' to be the most suitable model for our pilot implementation. We study the influence of the training set size (number of samples) on various classification models and the influences of individual features through simulations. We present empirical results based on the synthetic dataset and a roadmap for future research.

关键词： Lighting Data models Prediction algorithms Accuracy Training Predictive models Classification algorithms

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Accurate Network Resource Allocation in SDN according to Traffic Demand

Accurate Network Resource Allocation in SDN according to Tra...

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2015 4th International Conference on Mechatronics,Materials,Chemistry and Computer Engineering(ICMMCCE 2015)

作者： Hongyan Cui Chenhang Ma Wei Lai Lili Zheng Yunjie Liu State Key Lab.of Networking and Switching Technology Beijing Key Lab.of Network System Architecture and Convergence Beijing University of Posts and Telecommunications

The services carried by the Internet have undergone tremendous change over the past decades, along with the emergence of multimedia services and cloud computing, etc. However, there is little change in the framework of network designed primarily for reliable end-to-end communication, which is not suitable for these new services, resulting in poor performance of services and inefficient utilization of network resource. In this paper, we propose a network resource allocation scheme base on SDN(Software Defined Network) an emerging network paradigm, to provide Quality of Service(Qo S) support for various services while balance the link load in the network avoiding congestion and idleness. And we demonstrate its performance via experiments under our SDN test bed.

关键词： SDN Network Resource Allocation Quality of Service

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Mining Users’ Mobility Patterns Based On Apriori

Mining Users’ Mobility Patterns Based On Apriori

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2015 4th International Conference on Mechatronics,Materials,Chemistry and Computer Engineering(ICMMCCE 2015)

作者： Hongyan Cui Xiaolong Yin State Key Lab.of Networking and Switching Technology Beijing Key Lab.of Network System Architecture and Convergence Beijing University of Posts and Telecommunications

Mobility pattern of users is decided by people themselves. However, in the daily life, mobile users often repeat regular routes in certain periods. To effectively mine the mobile rules of users and allocate the resource among mobile telecommunication operators and Internet Service Providers（ISP）, grasping the models of human mobility can enable effective network planning and advertisement recommending. In this paper, we employ Apriori algorithm method to mine mobile users’ movement model. The algorithm proposed is based on mining the mobility patterns of users, forming mobility rules from these patterns, and finally predicting a mobile user’s next movement by using the mobility rules. The user mobility patterns are mined from the history of mobile user trajectories. In addition to the analysis of individual mobile behavior, it is possible to mine population movement regularity from a large number of user mobile patterns. By studying the group characteristics the place that a large number of users accessed can be found. Operators can optimize the setting of the base station according to the density of users to meet the needs of mobile users.

关键词： Mobility patterns Apriori Algorithm Trajectory prediction User behaviour analysis

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DQ-RM: Deep Reinforcement Learning-based Route Mutation Scheme for Multimedia Services 16

DQ-RM: Deep Reinforcement Learning-based Route Mutation Sche...

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16th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2020

作者： Zhang, Tao Xu, Changqiao Zhang, Bingchi Kuang, Xiaohui Wang, Yue Yang, Shujie Muntean, Gabriel-Miro State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China School of International Beijing University of Posts and Telecommunications Beijing China State Key Laboratory of Science and Technology on Information System Security Beijing China Beijing Key Laboratory of Network System Architecture and Convergence Beijing China Performance Engineering Lab. School of Electronic Engineering Dublin City University Dublin Ireland

ISBN: (纸本)9781728131290

Increasingly growing various multimedia services (e.g., interactive live video and so on) have brought tremendous pressure on existing static defense techniques. To cope with inherent drawback of static defense techniques, Network Moving Target Defense (NMTD) such as route mutation (RM) was proposed. What's more, applying reinforcement learning (RL) into RM has been proved feasible in our previous work. But two main problems still need to be considered in this combination of RL with RM: 1) It lacks the consideration of multiple flows situation. 2) With the state-action space grow larger, current solution can't handle efficiently. In this paper, we propose a deep Q-learning method for RM (DQ-RM) to solve above two problems. Firstly, benefited from the satisfiability module theory, we formalize RM space considering single flow and multiple flows concurrently. Then we further propose a deep reinforcement learning-based RM scheme based on our previous work, which is suitable for large-scale state-action space. Finally, extensive experimental results highlight the improvement of DQ-RM in defense performance and convergence speed compared to the representative solution. © 2020 IEEE.

关键词： Reinforcement learning

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Towards predicting real-time properties of a component assembly

Towards predicting real-time properties of a component assem...

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EUROMICRO Conference

作者： E. Bondarev P. de With M. Chaudron Syst. Archit. & Networking Group Eindhoven Univ. of Technol. Netherlands Coding and Architectures groups Eindhovan University of Technology Eindhoven Netherlands System Architecture and Networking Eindhovan University of Technology Eindhoven Netherlands

This work addresses the prediction of timing properties of a component-based application already during the composition phase. At this stage, it is of vital importance to guarantee that the timing requirements (e.g. end-to-end deadlines) of a real-time application that is executed on a target system is satisfied. This is obtained by predicting the real-time behaviour of a component-based application. We extend an already existing scenario-based approach [J. Muskens et al. (2004)] with the possibility to model the behaviour of an application and the behavior of the underlying components. As a result, an application developer can reason accurately about the dynamic resource consumption and real-time properties of a component assembly. The modeling involves the specification of synchronization constraints for tasks and the simulation of application behaviour. A concluding case-study of video encoder development reveals that the approach is not only feasible but also addresses yet unsolved problems of task parallel execution and synchronization.

关键词： Assembly Real time systems Timing Embedded system Computer architecture Application software Accuracy Bonding Bandwidth Home appliances

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