this paper presents a novel video service system DCSVS (distributed Collaborative Set-top-box Video Service), which encompasses several practical and effective solutions to both Live and VoD (Video-on-Demand) services...
详细信息
ISBN:
(纸本)9780769534435
this paper presents a novel video service system DCSVS (distributed Collaborative Set-top-box Video Service), which encompasses several practical and effective solutions to both Live and VoD (Video-on-Demand) services. DCSVS is established on an overlay DHT (distributed Hash Table) network, which improves Kademlia Protocol to fit for Real-Time application. We use several types of Pre-Fetching to enhance continuity rate of VoD service, and we employ an effective scheduling algorithm based on transferring priorities. We design the Inner-First and Proxy-Forward strategy to relieve transferring failure, and we use Window-based storage and hashing to achieve better system performance. Boththeoretical analysis and experimental results show that strategies in DCSVS perform well in terms of efficiency and robustness, and could maintain a fine state and scalability in large-scale networking.
As computer networks rapidly increase in size and speed, Internet-distributed systems such as P2P, volunteer computing, and Grid systems are increasingly common. A precise and accurate characterization of Internet res...
详细信息
ISBN:
(纸本)9781424425785
As computer networks rapidly increase in size and speed, Internet-distributed systems such as P2P, volunteer computing, and Grid systems are increasingly common. A precise and accurate characterization of Internet resources is important for the design and evaluation, of such Internet-distributed systems, yet our picture of the Internet landscape is not perfectly clear. To improve this picture, we measure and characterize the time dynamics of availability ire a large-scale Internet-distributed system with over 110,000 hosts. Our characterization focuses on identifying patterns of correlated availability. We determine scalable and accurate clustering techniques and distance metrics for automatically detecting significant availability patterns. By means of clustering, we identify groups of resources with correlated availability that exhibit similar time effects. then, we show how these correlated clusters of resources can be used to improve resource management for parallelapplications in the context of volunteer computing.
the paper describes the usage of technologies of parallel and distributedcomputing OpenMP and MPI to find generator polynomials which is quite a tedious task. the description of the generator polynomials search algor...
详细信息
ISBN:
(纸本)9781479960620
the paper describes the usage of technologies of parallel and distributedcomputing OpenMP and MPI to find generator polynomials which is quite a tedious task. the description of the generator polynomials search algorithm which are constructed on the basis of codes more efficient than codes Bose-Chaudhuri - Hocquenghem. the algorithm of generator polynomials search was considered and analyzed in terms of the possibility of using technologies of parallel and distributedcomputing. the computer program of the generator polynomials search withthe technology of parallel and distributedcomputing OpenMP and MPI was described. As input parameters, the values of : m - length of the information block of messages and t - the multiplicity of correctable errors. Computer experiment was delivered to compare the performance of software implementations with and without the application of the above technologies. Results supplied by the computer experiment to study the performance of sequential and parallelized implementations of the generator polynomials search algorithm showed that the use of technology in conjunction with MPI and OpenMP greatly accelerates generator polynomials search. thus, using 20 cores of Intel XEON 5150 processor for averaging the acceleration input parameters studied (m from 8 to 24, and t = 4) was 2231 %.
the nonlinear plants with significant time delays are difficult to be controlled by classical means. In the present paper intelligent approaches are applied for the design of a nonlinear Smith predictor for compensati...
详细信息
ISBN:
(纸本)9781538606971
the nonlinear plants with significant time delays are difficult to be controlled by classical means. In the present paper intelligent approaches are applied for the design of a nonlinear Smith predictor for compensation of the plant time delay based on a Takagi-Sugeno-Kang plant model and a fuzzy logic paralleldistributed compensation (PDC). the design and the advantages of the PDC-Smith are illustrated in temperature control. the good compensation of boththe plant time delay and nonlinearity results in faster system step responses in regard to a linear PI, a Smith and a PDC control systems.
Current undergraduate parallel and distributedcomputing course faces several problems such as neglecting the importance of the course, lack of programming practice, etc. As multi-core computers spreads, it is necessa...
详细信息
ISBN:
(纸本)9781424441983
Current undergraduate parallel and distributedcomputing course faces several problems such as neglecting the importance of the course, lack of programming practice, etc. As multi-core computers spreads, it is necessary to improve the course. the multi-core technology is included as an indispensable teaching material, parallel programming is enhanced and several practical projects are designed to help students in programming training. After the improvement, the course is more effective and suitable for the demands of the students.
To model the behavior of nonlinear dynamical systems using wireless sensor networks (WSNs), the development of computation and energy efficient distributed modeling techniques is of crucial importance. In this work, V...
详细信息
ISBN:
(纸本)9781538644300
To model the behavior of nonlinear dynamical systems using wireless sensor networks (WSNs), the development of computation and energy efficient distributed modeling techniques is of crucial importance. In this work, Volterra model is considered for the modeling of nonlinear systems because of its significant modeling capability and generalized nonlinear structure. For real-time estimation of the Volterra model parameters, a simple distributed algorithm is designed for a particular framework of WSNs having predefined bridge sensor nodes. the pertinent cost function is expressed as an unconstrained minimization problem using a decomposable augmented Lagrangian form. To facilitate the distributed convex optimization, the augmented Lagrangian form is minimized using alternating direction method of multipliers. the communication and computational complexities involved in the proposed methodology are provided to show its effectiveness in the real-time applications over centralized and non-cooperative solutions. the convergence analysis is provided to guarantee the mean stability of the proposed algorithm. Simulation results obtained under the noisy environment are plotted to demonstrate the effective performance of the proposed algorithm.
Recently, a new environment for high performance peer-to-peer distributedcomputing was proposed. this environment, named P2PDC, addresses stable or volatile systems communicating in a decentralized manner using the s...
详细信息
ISBN:
(纸本)9780769547497
Recently, a new environment for high performance peer-to-peer distributedcomputing was proposed. this environment, named P2PDC, addresses stable or volatile systems communicating in a decentralized manner using the self-adaptive protocol P2PSAP. P2PDC is devoted to task parallelapplications like numerical simulation problems or optimization problems solved via parallel or distributed iterative algorithms. For distributedapplications meant to run with P2PDC, a performance prediction tool named dPerf was proposed. dPerf combines static and dynamic analysis with trace-based simulation to provide scientist with information about the execution of their large scale numerical simulation applications. dPerf addresses real parallel and distributed numerical simulation and optimisation applications written in C, C++ or Fortran for P2PDC. this paper introduces an enhancement of the dPerf tool which provides scalable performance prediction results. Scaling is done with respect to (i) network configuration and (ii) number of peers. Scaling predictions based on network configuration is achieved through trace-based simulation, where various architectures can be studied. Scaling predictions based on the number of peers implies analyzing the communication topology and modifying trace files prior to simulation. We present experimental results obtained for the obstacle problem, a C/P2PDC implementation of the code used in mechanics and finance. Prediction for this application is computed under real conditions, with a reduced slowdown and by providing user with scalable results.
Finite difference time domain (FDTD) method is a robust and accurate algorithm which is widely used in computational electromagnetic field and the simulation of optical phenomenon. In this paper, parallel FDTD based o...
详细信息
ISBN:
(纸本)9780769548791
Finite difference time domain (FDTD) method is a robust and accurate algorithm which is widely used in computational electromagnetic field and the simulation of optical phenomenon. In this paper, parallel FDTD based on overlapped domain decomposition is used to simulate the band gap of photonic crystals and the quantum efficiency of thin-film solar cells. the light-trapping effect is also analyzed by parallel FDTD, it's very important to improve light absorption. Numerical result demonstrates that the accuracy and the speedup of parallel FDTD are very high for large scale problem.
Using parallel Geographic Image Processing System, the flooding disaster will be monitoring and evaluating in time. Using ParGIP to establish background database and process RS images, we can get the losses of the dis...
详细信息
ISBN:
(纸本)0780378407
Using parallel Geographic Image Processing System, the flooding disaster will be monitoring and evaluating in time. Using ParGIP to establish background database and process RS images, we can get the losses of the disaster by overlaying operation in 24 hours. According to the experiment in the Poyang Lake region, this method can promote the speed and the efficiency of the monitoring and evaluating of flooding disaster to several times.
Fog computing extends the Cloud computing paradigm to the edge of the network, relying on computing services intelligently distributed to best meet the applications needs such as low communication latency, data cachin...
详细信息
Fog computing extends the Cloud computing paradigm to the edge of the network, relying on computing services intelligently distributed to best meet the applications needs such as low communication latency, data caching or confidentiality reinforcement. While P2P is especially prone to implement Fog computing platforms, it usually lacks important elements such as controlling where the data is stored and who will handle the computing tasks. In this paper we propose both a mapping approach for data-locality and a location-aware scheduling for P2P-based middlewares, improving the data management performance on fog environments. Experimental results comparing the data access performances demonstrate the interest of such techniques. (C) 2018 the Authors. Published by Elsevier Ltd.
暂无评论