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检索条件"任意字段=19th IASTED International Conference on Parallel and Distributed Computing and Systems"

共 564 条记录，以下是331-340 订阅

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Enabling a Secured Communication in distributed IoT Using the Smart systems Service Infrastructure

Enabling a Secured Communication in Distributed IoT Using th...

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19th IEEE international conference on Pervasive computing and Communications (IEEE PerCom)

作者： Chen, Jiahang Schluse, Michael Rossmann, Juergen Rhein Westfal TH Aachen Inst Man Machine Interact Aachen Germany

ISBN: (纸本)9781665404242

the Internet of things builds a digital world where all assets including people, machines, human-machine interfaces (HMIs), processes, services, etc. are internetworked. Digital Twins provide 1-to-1 digital replica of physical assets and enable their networking and their goal-directed and standardized communication. the combination of assets and their corresponding Digital Twins are the "things", the nodes of the IoT. With the rapid development of loT and its pertinent technologies, more and more things will be mutually interconnected over the Internet. Hence, the security issues that come with it are gradually becoming sharper and sharper. In this paper, we focus on the topic of the secured communication among things - or more precisely their Digital Twins - and propose an approach related to OAuth2, asymmetrically encryption and digital signing to secure the communication within the newly developed Smart systems Service Infrastructure ((SI)-I-3).

关键词： Internet of things Digital Twins secured communication OAuth2 Smart systems Service Infrastructure ((SI)-I-3)

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Adaptive parallel interval global optimization algorithms based on their performance for non-dedicated multicore architectures

Adaptive parallel interval global optimization algorithms ba...

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19th international Euromicro conference on parallel, distributed and Network-Based Processing (PDP)

作者： Sanjuan-Estrada, J. F. Casado, L. G. Garcia, I. Univ Almeria Dept Comp Architecture & Elect Almeria Spain Univ Malaga Dept Comp Architecture Malaga Spain

ISBN: (纸本)9780769543284

Branch and Bound (B&B) algorithms are highly parallelizable but they are irregular and dynamic load balancing techniques have been used to avoid idle processors. In previous work, authors use a dynamic number of threads at run time, which depends on the measured performance of the application for just one interval B&B algorithm running on the system. In this way, load balancing is achieved by thread generation decisions. In this work, we extend the study of these models to non-dedicated systems. In order to have a controlled testbed and comparable results, several instances of the interval global optimization algorithm are executed in the system, with the same model and problem to solve. therefore, a non-dedicated system is simulated because the execution of one application affects the execution of the other instances. this paper discusses different methods and models to decide when a thread should be created. Experiments show which of the proposed methods performs best in terms of maximum running time per application, using the fewest running threads. Following this parallel programming methodology, which is well suited for other B&B codes, applications can adapt their parallelism level to their performance and load of the system (at run time). this work represents a step forward towards increasing the performance of parallel algorithm running in non-dedicated and heterogeneous systems. the adaptive model discussed in this work is able to reduce the overall execution time for a set of instances of the same application running simultaneously. It also exempts the user from specifying the number of threads each application should use.

关键词： multi-threaded branch-and-bound global optimization non-dedicated multicore thread generation decisions sleeping threads kernel idle thread

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Consistent and Efficient Batch Operations for NoSQL Databases with Hybrid Timestamp 19th

Consistent and Efficient Batch Operations for NoSQL Database...

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19th international conference on Network and parallel computing (NPC)

作者： Yu, Qianmian Zhou, Jing Shanghai Jiao Tong Univ Shanghai Peoples R China

ISBN: (纸本)9783031213946;9783031213953

NoSQL databases, such as HBase or Cassandra employ weak consistency models to provide good scalability and availability. However, they often lack functionality that would help programmers reason about the correctness of their applications. Notably, they do not support consistent batch operations that could be used for important tasks, such as batch updates or maintaining secondary indexes. Some systems add transaction support to NoSQL databases. However, they often bring much overhead to existing single-row operations. this paper proposes an efficient algorithm for supporting batch operations on existing NoSQL databases. It reuses the existing local timestamp and adds a global timestamp to ensure batch operations' consistency. Our implementation based on HBase shows that compared to transactional systems, our algorithm improves the throughput of batch operations by up to 2x. Meanwhile, the latency of single-row operations only increases by around 12%. In comparison, other transactional systems increase their latency by over 3x.

关键词： Concurrency control NoSQL Databases distributed systems

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A Novel Implementation of Sequential Output based parallel Processing - Orthogonal Wavelet Division Multiplexing for DAS on SDR Platform

A Novel Implementation of Sequential Output based Parallel P...

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19th IEEE international conference on Electronics, Circuits, and systems (ICECS 2012)

作者： Mahapatra, Chinmaya Ramakrishnan, Ashwin Stouraitis, thanos Leung, Victor C. M. Univ British Columbia Dept Elect & Comp Engn Vancouver BC Canada

ISBN: (纸本)9781467312608

the distributed antenna system (DAS) concept promises to enhance the capacity and diversity of next-generation wireless communication networks, due to the inherently added micro and macro diversity. Today, DAS is widely employed in cutting edge cellular communication to cover dead spots. the complexity of Orthogonal Frequency Division Multiplexing (OFDM) makes it challenging to build efficient and cost effective DAS systems. Orthogonal Wavelet Division Multiplexing (OWDM) is a system that has been proposed as an alternative to OFDM. In this paper we present a novel Sequential Output based parallel Processing (SBPP) architecture for DAS using OWDM scheme. the experimental evaluation was done on a virtual test bed that includes one central processor with multiple antenna nodes and multiple mobile stations. the novel architecture shows a new approach that could provide a more flexible replacement for OFDM with reduced Peak to Average Power Ratio (PAPR) and Inter-Carrier Interference (ICI), while still maintaining the same channel capacity characteristics as OFDM. the architecture also demonstrates an efficient resource optimization technique based on LTE-driven data rate requirements for multimedia applications.

关键词： DAS SBPP OWDM OFDM LTE PAPR ICI

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A Dynamic Task-based D3Q19 Lattice-Boltzmann Method for Heterogeneous Architectures 27

A Dynamic Task-based D3Q19 Lattice-Boltzmann Method for Hete...

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27th Euromicro international conference on parallel, distributed and Network-Based Processing (PDP)

作者： Lima, Joao V. F. Freytag, Gabriel Pinto, Vinicius Garcia Schepke, Claudio Navaux, Philippe O. A. Univ Fed Rio Grande do Sul Porto Alegre RS Brazil Univ Fed Santa Maria Santa Maria RS Brazil Univ Fed Pampa Campus Alegrete Alegrete Brazil

ISBN: (纸本)9781728116440

Nowadays computing platforms expose a significant number of heterogeneous processing units such as multicore processors and accelerators. the task-based programming model has been a de facto standard model for such architectures since its model simplifies programming by unfolding parallelism at runtime based on data-flow dependencies between tasks. Many studies have proposed parallel strategies over heterogeneous platforms with accelerators. However, to the best of our knowledge, no dynamic task-based strategy of the Lattice-Boltzmann Method (LBM) has been proposed to exploit CPU+GPU computing nodes. In this paper, we present a dynamic task-based D3Q19 LBM implementation using three runtime systems for heterogeneous architectures: OmpSs, StarPU, and XKaapi. We detail our implementations and compare performance over two heterogeneous platforms. Experimental results demonstrate that our task-based approach attained up to 8.8 of speedup over an OpenMP parallel loop version.

关键词： Task analysis Runtime Graphics processing units Computational modeling parallel processing Programming Computer architecture

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parallel Algorithms for Predicate Detection 19

Parallel Algorithms for Predicate Detection

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20th international conference on distributed computing and Networking (ICDCN)

作者： Garg, Vijay K. Garg, Rohan Univ Texas Austin Austin TX 78712 USA

ISBN: (纸本)9781450360944

Given a trace of a distributed computation and a desired predicate, the predicate detection problem is to find a consistent global state that satisfies the given predicate. the predicate detection problem has many applications in the testing and runtime verification of parallel and distributed systems. We show that many problems related to predicate detection are in the parallel complexity class NC, the set of decision problems decidable in polylogarithmic time on a parallel computer with a polynomial number of processors. Given a computation on n processes with at most m local states per process, our parallel algorithm to detect a given conjunctive predicate takes O(log mn) time and O(m(3)n(3) log mn) work. the sequential algorithm takes O(mn(2)) time. For data race detection, we give a parallel algorithm that takes O(logmn log n) time, also placing that problem in NC. this is the first work, to the best of our knowledge, that places the parallel complexity of such predicate detection problems in the class NC.

关键词： Predicate Detection parallel Algorithms Data Race Detection

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AErlang: Empowering Erlang with Attribute-Based Communication 19th

AErlang: Empowering Erlang with Attribute-Based Communicatio...

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19th IFIP WG 6.1 international conference on Coordination Models and Languages (COORDINATION) Held as Part of the 12th international Federated conference on distributed computing Techniques (DisCoTec)

作者： De Nicola, Rocco Duong, Tan Inverso, Omar Trubiani, Catia IMT Inst Adv Studies Lucca Lucca Italy Gran Sasso Sci Inst Laquila Italy

ISBN: (纸本)9783319597461;9783319597454

Attribute-based communication provides a novel mechanism to dynamically select groups of communicating entities by relying on predicates over their exposed attributes. In this paper, we embed the basic primitives for attribute-based communication into the functional concurrent language Erlang to obtain what we call AErlang, for attribute Erlang. To evaluate our prototype in terms of performance overhead and scalability we consider solutions of the Stable Marriage Problem based on predicates over attributes and on the classical preference lists, and use them to compare the runtime performance of AErlang with those of Erlang and X10. the outcome of the comparison shows that the overhead introduced by the new communication primitives is acceptable, and our prototype can compete performance-wise with an ad-hoc parallel solution in X10.

关键词： Attribute-based communication Erlang Concurrency distributed programming Collective adaptive systems Stable marriage

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Towards Interactive Data Processing and Analytics Putting the Human in the Center of the Loop 19

Towards Interactive Data Processing and Analytics <i>Putting...

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19th international conference on Enterprise Information systems (ICEIS)

作者： Behringer, Michael Hirmer, Pascal Mitschang, Bernhard Univ Stuttgart Inst Parallel & Distributed Syst Univ Str 38 D-70569 Stuttgart Germany

ISBN: (纸本)9789897582493

Today, it is increasingly important for companies to evaluate data and use the information contained. In practice, this is however a great challenge, especially for domain users that lack the necessary technical knowledge. However, analyses prefabricated by technical experts do not provide the necessary flexibility and are often-times only implemented by the IT department if there is sufficient demand. Concepts like Visual Analytics or Self-Service Business Intelligence involve the user in the analysis process and try to reduce the technical requirements. However, these approaches either only cover specific application areas or they do not consider the entire analysis process. In this paper, we present an extended Visual Analytics process, which puts the user at the center of the analysis. Based on a use case scenario, requirements for this process are determined and, later on, a possible application for this scenario is discussed that emphasizes the benefits of our approach.

关键词： Visual Analytics Human In the Loop Interactive Analysis

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Control of Hybrid Energy systems and Evaluation of Integration into Virtual Power Plant 19

Control of Hybrid Energy Systems and Evaluation of Integrati...

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19th international Scientific conference on Electric Power Engineering (EPE)

作者： Vrana, Michal Smugala, Ondrej Mastny, Petr Moravek, Jan thiele, Marcelo Bicca Chaguri Felicio, Gabriel Felipe Brno Univ Technol Dept Elect Power Engn FEEC Brno Czech Republic Univ Fed Santa Catarina Dept Elect & Elect Engn Florianopolis SC Brazil Univ Estadual Campinas Dept Elect Energy Syst Campinas SP Brazil

ISBN: (纸本)9781538646120

this paper presents a control concept of virtual power plant with analysis of measured data of controlling distributed energy sources and energy storage system. the aim of the presented analysis is to demonstrate and compare possibilities of controlling distributed energy source and energy storage system in parallel operation with the grid.

关键词： distributed energy source virtual power plant control system hybrid inverter energy storage system

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Issues and Algorithm of distributed Shared Memory 4

Issues and Algorithm of Distributed Shared Memory

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4th international conference on Innovative computing (ICIC)

作者： Ahmad, Mian Basam Sagheer, Sundas Univ Management & Technol Dept Comp Sci Lahore Pakistan Univ Management & Technol Dept Software Engn Lahore Pakistan

ISBN: (纸本)9781665400916

Internet of things is a rapidly growing industry, and there are more connected devices than humans. there are unlimited internet of things devices around us. the scope of these devices has increased manifold in recent years in different areas like healthcare, unmanned vehicles, automatic monitoring systems, and smart homes, etc. these connected devices produce lots of data that need to be processed to achieve the goal of automation in daily life. the cloud provides many centralized solutions to process data using powerful resources in real-time, but there could be latency issues due to increased network traffic. So a distributed solution is much needed to meet this growing demand of processing data in parallel. In this paper, we propose a distributed shared memory [18] abstraction for the internet of things that uses a graph-aware partitioning algorithm and uses smart message passing techniques to process data in distributed and parallel fashion [19].

关键词： Internet of things

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