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检索条件"任意字段=10th International Conference on Parallel and Distributed Computing, Applications and Technologies"

共 1765 条记录，以下是461-470 订阅

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Profit-aware workload management for geo-distributed data centers 18

Profit-aware workload management for geo-distributed data ce...

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18th international conference on parallel and distributed computing, applications and technologies, PDCAT 2017

作者： Gao, Yongqiang Wei, Hengchao College of Computer Science Inner Mongolia University Hohhot China

ISBN: (纸本)9781538631515

With the rising demand on internet online services, more and more individuals and organizations migrate their data and services from local to geographically distributed internet data centers for reliability, management, and cost benefits. From internet data center operators' perspective, profit is one of the most significant factors which are to be taken into account and it is mainly determined by the quality of service and the electricity cost. In this work, we jointly take the diversity of time-varying electricity prices, the quality of service and the power usage effectiveness of data centers into consideration and propose a profit optimization framework that includes three important decisions: requests dispatching, the number of active servers and frequency adjustment. An efficient heuristic algorithm is then developed to provide internet data center operators with the advice on these decisions to achieve profit maximization for geographically distributed data centers. through extensive trace-driven simulations, we demonstrate the effectiveness and superiority of our solution. © 2017 IEEE.

关键词： Quality of service

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Linear combinations of DVFS-enabled processor frequencies to modify the energy-aware scheduling algorithms 10

Linear combinations of DVFS-enabled processor frequencies to...

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10th IEEE/ACM international Symposium on Cluster, Cloud, and Grid computing, CCGrid 2010

作者： Rizvandi, Nikzad Babaii Taheri, Javid Zomaya, Albert Y. Lee, Young Choon Center for Distributed and High Performance Computing School of Information Technologies University of Sydney NSW 2006 Australia Australian Technology Park Sydney NSW 1430 Australia

ISBN: (纸本)9781424469871

the energy consumption issue in distributed computing systems has become quite critical due to environmental concerns. In response to this, many energy-aware scheduling algorithms have been developed primarily by using the dynamic voltage-frequency scaling (DVFS) capability incorporated in recent commodity processors. the majority of these algorithms involve two passes: schedule generation and slack reclamation. the latter is typically achieved by lowering processor frequency for tasks with slacks. In this paper, we revisit this energy reduction technique from a different perspective and propose a new slack reclamation algorithm which uses a linear combination of the maximum and minimum processor frequencies to decrease energy consumption. this algorithm has been evaluated based on results obtained from experiments with three different sets of task graphs: 1,500 randomly generated task graphs, and 300 task graphs of each of two real-world applications (Gauss-Jordan and LU decomposition). the results show that the amount of energy saved in the proposed algorithm is 13.5%, 25.5% and 0.11% for random, LU decomposition and Gauss-Jordan task graphs, respectively;these percentages for the reference DVFS-based algorithm are 12.4%, 24.6% and 0.1%, respectively. © 2010 IEEE.

关键词： Energy utilization

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Investigation and survey of secret sharing in verifiable distributed systems

Investigation and survey of secret sharing in verifiable dis...

引用

2011 12th international conference on parallel and distributed computing, applications and technologies, PDCAT 2011

作者： Peng, Kun Institute for Inforcomm Research Singapore

ISBN: (纸本)9780769545646

the two most recent PVSS (publicly verifiable secret sharing) schemes are illustrated to be vulnerable to a simple attack. Moreover, one of them has to deteriorate its efficiency greatly to meet practical security requirement. the attack makes the share holders to receive incorrect shares, which will lead secret reconstruction to mistake. the efficiency deterioration is so serious that no practical application can tolerate it. So the two most recent PVSS schemes actually cannot work reliably and efficiently as they claim. © 2011 IEEE.

关键词： Efficiency

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parallel Approach to Fuzzy Vector Quantization for Image Compression

Parallel Approach to Fuzzy Vector Quantization for Image Com...

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3rd international Workshop on e-Activity (IWEA2009)/10th ACIS international conference on Software Engineering Artificial Intelligence, Networking and parallel/distributed computing

作者： Van Luong, Huynh Kim, Yong-Min Kim, Byung-Kook Kim, Jong-Myon Kim, Cheol-Hong Univ Ulsan Sch Comp Engn & Informat Technol Ulsan 680749 South Korea Chonnam Natl Univ Sch Elect & Comp Engn Gwangju South Korea

ISBN: (纸本)9780769536422

Fuzzy clustering based vector quantization algorithm has been widely used in the field of data compression since the use of fuzzy, clustering analysis in the early stages of a vector quantization process can make this process less sensitive to initialization. However, the process of fuzzy clustering is computationally very intensive because of its complex framework for the quantitative formulation of the uncertainty involved in the training vector space. To overcome the computational burden of the process, we introduce a parallel implementation of Fuzzy Vector Quantization (FVQ) using a representative data parallel architecture which consists of 4,096 processing elements (PEs). Our parallel approach provides a computationally efficient solution with the 4,096 PEs by employing an effective vector assignment strategy for the transition from soft to crisp decisions during the clustering process. Experimental results show that our parallel approach provides 1000x greater performance and 100x higher energy efficiency than other implementations using commercial processors such as ARM families.

关键词： Fuzzy Vector Quantization parallel processing data parallel architecture FCM algorithm codebook

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Cloud computing Framework for Smart Grid applications

Cloud Computing Framework for Smart Grid Applications

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48th international Universities Power Engineering conference (UPEC)

作者： Bitzer, Berthold Gebretsadik, Enyew Sileshi South Westphalia Univ Appl Sci D-59494 Soest Germany

ISBN: (纸本)9781479932542

the future power grid expected to accommodate and integrates all new kinds of distributed renewable energy generations, intelligent energy management systems to accommodate the ever growing energy demand. this fact leads the trend of power grid to shift to the Smart Grid that uses advanced communication, smart meters, sensors and information technologies to create an automated, intelligent and widely distributed energy delivery network. A huge amount of row data is collected by smart meters and sensors from the end user and different part of the network to the computation system. Subsequently, this considerably big amount of data must be processed, analyzed and stored in a cost effective ways. In this manner, an enormous pool of computing resources and storage must be provided to compute this vast amount of data. Researchers have been suggesting different solutions. A distributed and parallel computing techniques for future power system, Grid computing [1], fast parallel processing of the mass data in cloud computing [2], and smart grid control software in cloud computing architecture [3]. this paper discussed the feasibility study of the handling of monitoring of renewable energy in smart grid on cloud computing framework retaining smart grid security, analysis of the availability of Energy management software tools in smart grid using cloud computing, design of a demonstrator and realization of demonstration for further education purpose to utilize the advantage of cloud computing distributed and scalable nature.

关键词： Cloud computing Smart Grid distributed computing

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SideBar: Videoconferencing System Supporting Social Engagement 10

SideBar: Videoconferencing System Supporting Social Engageme...

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10th IEEE international conference on Collaborative computing Networking applications and Worksharing

作者： Esbensen, Morten Tell, Paolo Bardram, Jakob E. IT Univ Copenhagen Pervas Interact Technol Lab Rued Langgaardsvej 7 DK-2300 Copenhagen S Denmark

ISBN: (纸本)9781631900433

Companies are increasingly organizing work in globally distributed teams. A core challenge to these distributed teams is, however, to maintain social relationships due to limited opportunities and tools for social engagement. In this paper we present SIDEBAR: a videoconferencing system that enhances virtual meetings by enabling social engagement. through image analysis of the conference video feed, SIDEBAR tracks meeting participants in real-time. A personal tablet then allows each participant to identify and track other participants, to look up information about them and their local work context, and to engage in peer-to-peer chat conversations. We describe the motivation, design and implementation of SIDEBAR and report results from a preliminary evaluation, which shows that participants found SIDEBAR useful and easy to use. the paper concludes by providing three design guidelines for collaborative technologies supporting social engagement.

关键词： notebook computers social networking (online) teleconferencing video communication SideBar collaborative technologies conference video feed globally distributed teams peer-to-peer chat conversations personal tablet social engagement social relationships videoconferencing system Cameras Collaboration Face Feeds Servers Streaming media Teleconferencing Teleconference hand-held equipment sidebars video communications Streaming Video Servers Cameras FEEDS Fodder Face Face engaging engagement Videoconferencing

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Development of semantic model of multi-level-building navigation using indoor ontology and dijkstra's algorithm 20

Development of semantic model of multi-level-building naviga...

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20th international conference on parallel and distributed computing, applications and technologies, PDCAT 2019

作者： Yuan, Ye Kong, Xiaoying Fang, Gengfa Liu, Li Khruahong, Sanya Faculty of Engineering and Information University of Technology Sydney Sydney Australia Faculty of Engineering and Information Technologies University of Sydney Sydney Australia Faculty of Science Naresuan University Phitsanulok Thailand

ISBN: (纸本)9781728126166

Location based services (LBS) can be separated into a number of layers: technology layer, application layer, standard layer, and social-ethical layer. this paper presents an ontology development at standard layer. We developed an ontology to identify and classify indoor semantic information to guide the development of LBS applications for multi-level building navigation. this ontology proposed models of multilevel building properties as classes of building, level, zone, link, node, and coordinate. To apply this ontology, we develop an indoor navigation algorithm using the ontology classes and Dijkstra's algorithm for shortest path in user navigation. A prototype and experiments are implemented to validate this ontology. © 2019 IEEE.

关键词： Ontology

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I-SPAN 2009 - the 10th international Symposium on Pervasive Systems, Algorithms, and Networks

I-SPAN 2009 - The 10th International Symposium on Pervasive ...

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10th international Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2009

ISBN: (纸本)9780769539089

the proceedings contain 140 papers. the topics discussed include: stochastically robust resource management in heterogeneous parallel computing systems;data structures and algorithms for packet forwarding and classification;high-performance cloud computing: a view of scientific applications;constructing independent spanning trees for hypercubes and locally twisted cubes;a node-to-set disjoint-path routing algorithm in metacube;a new network topology for P2P overlay based on a contracted star graph;a single-trace cycle collection for reference counting systems;a heuristic routing scheme for wireless sensor networks based on a local search method;identifying useless states in non-FIFO distributed computations by using pseudo timestamps;job scheduling techniques for distributed systems with heterogeneous processor cardinality;pipelined computation of very large word-length LNS addition/subtraction computation with exponential convergence rate;and conflict-avoidance in multicore caching for data-similar executions.

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Task Scheduling Observation and Stack Safety Analysis in Real Time distributed Systems Using a Simulation Tool

Task Scheduling Observation and Stack Safety Analysis in Rea...

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10th IEEE international conference on Emerging technologies and Factory Automation (ETFA)

作者： Briday, Mikael Bechennec, Jean-Luc Trinquet, Yvon IRCCyN UMR CNRS 6597 F-44321 Nantes 3 France

ISBN: (纸本)9780780394018

this paper presents the ReTiS simulation tool and its use for real-time application analysis. Simulation concerns the operational architecture and takes into account the software (executable code of real-time tasks and real-time operating system) and the hardware (set of processors and networks). In this paper we show a mechanism that allows to detect task switch and to analyze task's stack (usage and corruption). this mechanism neither requires any application nor operating system code modification. We show its interest for the analysis of the temporal behavior of real-time applications in a distributed system.

关键词： Scheduling

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Optimal parallel algorithm for the knapsack problem without memory conflicts

Optimal parallel algorithm for the knapsack problem without ...

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4th international conference on parallel and distributed computing, applications and technologies (PDCAT 2003)

作者： Li, KL Li, QH Wang-Hui Jiang, SY Huazhong Univ Sci & Technol Sch Comp Sci & Technol Wuhan 430074 Peoples R China

ISBN: (纸本)0780378407

the knapsack problem is very important in cryptosystem and in number theory. this paper proposes a new parallel algorithm for the knapsack problem where the method of divide and conquer is adopted. Basing on an EREW-SIMD machine with shared memory, the proposed algorithm utilizes O(2(n/4))(1-epsilon) processors, 0less than or equal to epsilon less than or equal to 1, and O(2(n)) memory to find a solution for the n-element knapsack problem in time O(2(n/4) (2(n/4))epsilon). thus the cost of the proposed parallel algorithm is O(2(n)), which is optimal, and an improved result over the past researches. Keywords: Knapsack problem, parallel algorithm, optimal algorithm, memory conflicts.

关键词： knapsack problem parallel algorithm optimal algorithm memory conflicts

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