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检索条件"任意字段=8th International Conference on Parallel and Distributed Computing, Applications and Technologies"

共 1804 条记录，以下是841-850 订阅

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Solving a Real-World Structural Optimization Problem With a distributed SMS-EMOA Algorithm

Solving a Real-World Structural Optimization Problem With a ...

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8th international conference on P2P, parallel, Grid, Cloud and Internet computing (3PGCIC)

作者： Luna, Francisco Zavala, Gustavo R. Nebro, Antonio J. Durillo, Juan J. Coello Coello, Carlos A. Univ Carlos III Madrid Dept Informat Madrid Spain Univ Malaga Khaos Res Grp E-29071 Malaga Spain Univ Malaga Dept Linguages Ciencias Comp E-29071 Malaga Spain Univ Innsbruck Inst Comp Sci A-6020 Innsbruck Austria IPN CINVESTAV Mexico City DF Mexico

ISBN: (纸本)9780769550947

this paper addresses a real-world optimization problem in civil engineering. It lies in the dimensioning of a 162m long bridge composed of 1584 bars so that both its weight and its deformation are to be minimized. Evaluating each possible configuration of the bridge takes several seconds and, as a consequence, running a metaheuristic for several thousands of evaluations would require many days on one single processor. Our approach has been to develop a distributed master/worker version of SMS-EMOA, an indicator-based multiobjective algorithm. By combining the Java implementation of the algorithm in jMetal with the Condor distributed scheduler, we have been able to use more than 350 cores to obtain accurate results in a reasonable amount of time.

关键词： Java bridges (structures) optimisation scheduling structural engineering computing

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distributed parallelization of Greedy Mobile Network Optimization Algorithms

Distributed Parallelization of Greedy Mobile Network Optimiz...

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21st international conference on Software, Telecommunications and Computer Networks (SoftCOM)

作者： Ye, Yuanzhou Cadenas, Oswaldo Megson, Graham Univ Reading Sch Syst Engn Arieso Ltd Reading Berks England Univ Westminster Sch Elect & Comp Sci London England

ISBN: (纸本)9789532900439

the Mobile Network Optimization (MNO) technologies have advanced at a tremendous pace in recent years. And the Dynamic Network Optimization (DNO) concept emerged years ago, aimed to continuously optimize the network in response to variations in network traffic and conditions. Yet, DNO development is still at its infancy, mainly hindered by a significant bottleneck of the lengthy optimization runtime. this paper identifies parallelism in greedy MNO algorithms and presents an advanced distributed parallel solution. the solution is designed, implemented and applied to real-life projects whose results yield a significant, highly scalable and nearly linear speedup up to 6.9 and 14.5 on distributed 8-core and 16-core systems respectively. Meanwhile, optimization outputs exhibit self-consistency and high precision compared to their sequential counterpart. this is a milestone in realizing the DNO. Further, the techniques may be applied to similar greedy optimization algorithm based applications.

关键词： Dynamic Network Optimization Mobile Network Optimization distributed and parallel computing Quality of Service Inter Process Communications

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Slot Selection Algorithms for Economic Scheduling in distributed computing with High QoS Rates

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8th international conference on Dependability and Complex Systems (DepCoS-RELCOMEX)

作者： Toporkov, Victor Toporkova, Anna Tselishchev, Alexey Yemelyanov, Dmitry Natl Res Univ MPEI Moscow 111250 Russia Natl Res Univ Higher Sch Econ Moscow Inst Elect & Math Moscow 109028 Russia CERN European Org Nucl Res CH-1211 Geneva 23 Switzerland

ISBN: (纸本)9783319009452

In this work, we address the problem of slot selection and co-allocation for parallel jobs in distributed computing with non-dedicated resources. A single slot is a time span that can be assigned to a task, which is a part of a job. the job launch requires a co-allocation of a specified number of slots starting synchronously. the challenge is that slots associated with different CPU nodes of distributed computational environments may have arbitrary start and finish points that do not match. Some existing algorithms assigns a job to the first set of slots matching the resource request without any optimization (the first fit type), while other algorithms are based on an exhaustive search. In this paper, algorithms for effective slot selection of linear complexity are studied and compared with known decisions. the proposed algorithms allow overall increase in the quality of service (QoS) for each of the considered rates: job start time, finish time, runtime, CPU usage time and total cost of job execution.

关键词： Quality of service

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8th international conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2013

8th International Conference on Evaluation of Novel Approach...

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8th international conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2013

ISBN: (纸本)9783642540912

the proceedings contain 18 papers. the special focus in this conference is on Evaluation of Novel Approaches to Software Engineering. the topics include: Designing a virtual reality software;an experiment on self-configuring database queries;an MDE approach to develop mobile-agents applications;a fault injection based approach to assessment of quality of test sets for BPEL processes;comparing two class composition approaches;testing distributed communication protocols by formal performance monitoring;research in global software engineering;test city metaphor for low level tests restructuration in test database;service retrieval for service-oriented business process modeling;investigating the applicability of the laws of software evolution;automatic extraction of behavioral models from distributed systems and services;impact-driven regression test selection for mainframe business systems;improving business process model after reverse engineering;measuring the effect of enabling traces generation in ATL model transformations and reverse engineering applied to CMS-based web applications coded in PHP.

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parallel algorithm for approximate string matching with K differences

Parallel algorithm for approximate string matching with K di...

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2013 IEEE 8th international conference on Networking, Architecture and Storage, NAS 2013

作者： Guo, Longjiang Du, Shufang Ren, Meirui Liu, Yu Li, Jinbao He, Jing Tian, Ning Li, Keqin Heilongjiang University School of Computer Science and Technology Harbin 150080 China Key Laboratory of Database and Parallel Computing Heilongjiang China Kennesaw State University Department of Computer Science Kennesaw GA 30144 United States State University of New York Department of Computer Science New Paltz NY 12561 United States

ISBN: (纸本)9780769550343

Approximate string matching using the k-difference technique has been widely applied to many fields such as pattern recognition and computational biology. Data dependency exists in the traditional sequential algorithm. therefore, it is hard to design a parallel algorithm for approximate string matching with k differences. this paper presents a technique to eliminate data dependency. Based on this technique, this paper also presents a parallel algorithm which can calculate the elements in the same row of the edit distance matrix in parallel by eliminating data dependency. the algorithm has high parallelism, but requires synchronization. To validate the proposed algorithm, it is implemented on GPU and multiple-core CPUs. Moreover, the CUDA optimization techniques are also presented in the paper. Finally, experimental results show that, compared with the traditional sequential algorithm on CPU with twenty-four cores, the proposed parallel algorithm achieves speedup of 7-42 on GPU. © 2013 IEEE.

关键词： Graphics processing unit

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Web Information Systems and technologies - 8th international conference, WEBIST 2012, Revised Selected Papers

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8th international conference on Web Information Systems and technologies, WEBIST 2012

ISBN: (纸本)9783642366079

the proceedings contain 23 papers. the topics discussed include: efficient parallel algorithms for XML filtering with structural and value constraints;a simulation-based method for eliciting requirements of online CIB systems;reducing latency and network load using location-aware memcache architectures;modeling capabilities as attribute-featured entities;governance policies for verification and validation of service choreographies;real-text dictionary for topic-specific web searching;evaluating cross-platform development approaches for mobile applications;information gathering tasks on the web: attempting to identify the user search behavior;web-based exploration of photos with time and geospace;mixed-initiative management of online calendars;knowledge discovery: data mining by self-organizing maps;and ranking location-dependent keywords to extract geographical characteristics from microblogs.

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EasyHPS: A multilevel hybrid parallel system for dynamic programming

EasyHPS: A multilevel hybrid parallel system for dynamic pro...

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2013 IEEE 37th Annual Computer Software and applications conference, COMPSAC 2013

作者： Du, Jun Yu, Ce Sun, Jizhou Sun, Chao Tang, Shanjiang Yin, Yanlong School of Computer Science and Technology Tianjin University China School of Computer Engineering Nanyang Technological University Singapore Department of Computer Science Illinois Institute of Technology Chicago IL 60616 United States

ISBN: (纸本)9780769549798

Dynamic programming approach solves complex problems efficiently by breaking them down into simpler sub-problems, and is widely utilized in scientific computing. With the increasing data volume of scientific applications and development of multi-core/multi-processor hardware technologies, it is necessary to develop efficient techniques for parallelizing dynamic programming algorithms, particularly in multilevel computing environment. the intrinsically strong data dependency of dynamic programming also makes it difficult and error-prone for the programmer to write a correct and efficient parallel program. In order to make the parallel programming easier and more efficient, we have developed a multilevel hybrid parallel runtime system for dynamic programming named EasyHPS based on the Directed Acyclic Graph(DAG) Data Driven Model in this paper. the EasyHPS system encapsulates details of parallelization implementation, such as task scheduling and message passing, and provides easy API for users to reduce the complexity of parallel programming parallelization. In the DAG Data Driven Model, the entire application is initially partitioned by data partitioning into sub-tasks that each sub-task processing a data block. then all sub-tasks are modeled as a DAG, in which each vertex represents a sub-task and each edge indicates the communication dependency between the two sub-tasks. In task scheduling, a dynamic approach is proposed based on DAG Data Driven Model to achieve load balancing. Data partitioning and task scheduling are both done on processor-level and thread-level in the multilevel computing environment. In addition, experimental results demonstrate that the proposed dynamic scheduling approach in EasyHPS is more efficient in comparison with those static ones such as block-cyclic based wave front. © 2013 IEEE.

关键词： Directed graphs

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Biomedical distributed Signal Processing and Analysis 1

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12th IFIP TC8 international conference on Computer Information Systems and Industrial Management applications (CISIM)

作者： Penhaker, Marek Kasik, Vladimir Snasel, Vaclav VSB Tech Univ Ostrava Fac Elect Engn & Comp Sci Ostrava Czech Republic

ISBN: (数字)9783642409257

ISBN: (纸本)9783642409257;9783642409240

the paper deal about the electrophysiology distributed data processing and analysis. the aim of the work was the distance computer environment for biomedical data processing services with effective data visualizing. the system combine end user interactive interaction with biomedical data was realized with the use of rapid calculating by FPGA technology. Combining of these technologies allows a vide range spectrum of users to quick access to proceed biomedical data. this article involved the possible topological proposal and implementation of that biomedical distributed signal processing system.

关键词： Ultra Fast parallel Signal Analysis Web Services FPGA Biomedical

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distributed query processing in an ad-hoc semantic web data sharing system

Distributed query processing in an ad-hoc semantic web data ...

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2013 IEEE 37th Annual Computer Software and applications conference, COMPSAC 2013

作者： Zhou, Jing Bochmann, Gregor V. Shi, Zhongzhi School of Computer Science Communication University of China Beijing China School of Electrical Engineering and Computer Science University of Ottawa ON Canada Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769549798

Sharing the Semantic Web data in proprietary datasets in which data is encoded in RDF triples in a decentralized environment calls for efficient support from distributed computing technologies. the highly dynamic ad-hoc settings that would be pervasive for Semantic Web data sharing among personal users in the future, however, pose even more demanding challenges for the enabling technologies. We extend previous work on a hybrid P2P architecture for an ad-hoc Semantic Web data sharing system which better models the data sharing scenario by allowing data to be maintained by its own providers and exhibits satisfactory scalability owing to the adoption of a two-level distributed index and hashing techniques. Additionally, we propose efficient distributed processing of SPARQL queries in such a context and explore optimization techniques that build upon distributed query processing for database systems and relational algebra optimization. We anticipate that our work will become an indispensable, complementary approach to making the Semantic Web a reality by delivering efficient data sharing and reusing in an ad-hoc environment. © 2013 IEEE.

关键词： Query processing

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the prediction mathematical model for HO performance in LTE networks

The prediction mathematical model for HO performance in LTE ...

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2013 IEEE 8th international conference on Networking, Architecture and Storage, NAS 2013

作者： Zhao, Xiaohui Luo, Xinlong Wu, Tong Xiao, Dengkun School of Science BUPT Beijing China Huawei Technologies Co. Ltd. Beijing China

ISBN: (纸本)9780769550343

In this paper, a mathematical model for handover performance indicators in LTE(long time evolution) wireless networks is proposed with the aim of predicting handover parameters and improving handover reliability and efficiency, considering the impact and interdependency of key handover settings (offset, TTT, UE velocity, distance). the best combination of key parameters can be easily achieved by finding the optimal solution of a nonlinear optimization problem, which results in efficient reduction of target handover (HO) failure rate and ping pong rate. the modification of the model is also presented taking the impact of UE location and speed into account. Simulation results and matching error analysis indicate that the proposed fitting functions have an average match quality of over 90% in terms of HO failure rate and ping pong rate, which is good enough to be used for handover prediction. © 2013 IEEE.

关键词： Forecasting

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