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Comparing thread Migration, Mobile Agents, and ABM Simulators in distributed Data Analysis 19th

Comparing Thread Migration, Mobile Agents, and ABM Simulator...

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19th international conference on Advances in Practical Applications of Agents, Multi-Agent systems, and Social Good (PAAMS)

作者： Wenger, Maxwell Acoltzi, Jonathan Fukuda, Munehiro Univ Washington Comp & Software Syst Bothell WA 98011 USA

ISBN: (纸本)9783030857394;9783030857387

Many scientific datasets are generated in a given data structure (e.g., a graph) and are reused for various analyses. From this viewpoint, instead of streaming these datasets into conventional big-data tools such as MapReduce or Spark, we should maintain their data structures over distributed memory and repeat deploying mobile computing units to the datasets. Since thread migration, mobile agents, and parallel ABM (agent-based modeling) simulators enable migration of execution entities, this paper looks at four Java-based representative systems: JCilk, IBM Aglets, Repast Simphony, and the MASS library. Our analysis of their programmability and parallel performance demonstrates that MASS can competitively perform distributed data analysis in an emergent collective group behavior among reactive agents.

关键词： thread migration Mobile agents Agent-based modeling distributed memory

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Task-migration support for parallel computing on shared virtual memory clusters

Task-migration support for parallel computing on shared virt...

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19th international conference on Computer Applications in Industry and Engineering, CAINE 2006

作者： Kongmunvattana, Angkul Department of Computer Science Columbus State University Columbus GA 31907 United States

ISBN: (纸本)9781604236750

Shared virtual memory (SVM) is an attractive approach for providing simple parallel programming environments on a cluster of personal computers or workstations, and symmetric-multiprocessor clusters. It permits programmers to assume the existence of shared memory image across physically distributed-memory systems, obviating the need of explicit inter-process communication operations. While several memory coherence protocols for improving SVM performance have been proposed and studied extensively, very little attention has been given to improve its reliability despite the fact that wider acceptance of SVM in production systems is depending on it. In this paper, we propose a protocol suite for task-migration support in SVM. Our protocol suite consists of a checkpointing protocol, a message-logging protocol, and a fast reconfiguration protocol. Our experimental results demonstrated that our checkpointing protocol incurs the execution time overhead of 0.01% to 4% when task-migration is initiated every 2-minute interval. Our message-logging protocol incurs only 1% to 3% overhead in logging messages and enables our reconfiguration protocol to drastically accelerate the migration process, ranging from 2% to 67% by speeding up the execution replay at the target node. Hence, our protocol suite makes task-migration support in SVM an attractive reality.

关键词： Personal computers

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Blockchain Scalability Solved via Quintessential parallel Multiprocessor 19

Blockchain Scalability Solved via Quintessential Parallel Mu...

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19th IEEE international Wireless Communications and Mobile computing (IEEE IWCMC)

作者： Martinez, Kanwalinderjit Kaur C. Calif State Univ Dept Comp Engn & Comp Sci Bakersfield CA 90032 USA

ISBN: (纸本)9798350333398

the increase in usage and interest in blockchain technology has shown its benefits and potential uses and its drawbacks and issues. the amount of time it takes to mine, make transactions, and perform other functions is one of the several scalability issues being analyzed. this paper presents a quintessential parallel multiprocessor approach to implement proof of work distributed blockchain to increase the number of transactions and lower mining latency and cost by applying vertical scaling, consensus, and reduced overheads. the proposed approach is providing promising results by increasing the number of transactions per second (tps) and reducing latency for mining. the distributed approach aims to partition blocks among processes, where processes work for blocks, and each block holds a distinct part of the ledger of the blockchain. the transaction process involves validation and reaching a consensus when the storage location is available only to the intended block. the proposed approach is achieving scalability. It is observed that the given approach has low latency, high throughput, and lower cost in comparison to some existing approaches.

关键词： parallel processing multiprocessing scalability sharding mining transactions

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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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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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Towards On-the-fly Self-Adaptation of Stream parallel Patterns 29

Towards On-the-fly Self-Adaptation of Stream Parallel Patter...

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29th Euromicro international conference on parallel, distributed and Network-Based Processing (PDP)

作者： Vogel, Adriano Mencagli, Gabriele Griebler, Dalvan Danelutto, Marco Fernandes, Luiz Gustavo Pontifical Catholic Univ Rio Grande do Sul PUCRS Sch Technol Porto Alegre RS Brazil Tres de Maio Fac SETREM Lab Adv Res Cloud Comp LARCC Tres De Maio Brazil Univ Pisa UNIPI Comp Sci Dept Pisa Italy

ISBN: (纸本)9781665414555

Stream processing applications compute streams of data and provide insightful results in a timely manner, where parallel computing is necessary for accelerating the application executions. Considering that these applications are becoming increasingly dynamic and lung-running, a potential solution is to apply dynamic runtime changes. However, it is challenging for humans to continuously monitor and manually self-optimize the executions. In this paper, we propose self-adaptiveness of the parallel patterns used, enabling flexible on-the-fly adaptations. the proposed solution is evaluated with an existing programming framework and running experiments with a synthetic and a real-world application. the results show that the proposed solution is able to dynamically self-adapt to the most suitable parallel pattern configuration and achieve performance competitive with the best static cases. the feasibility of the proposed solution encourages future optimizations and other applicabilities.

关键词： parallel computing parallel Patterns parallelism Abstractions Self adaptive systems Stream Processing

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Reconfiguration Stability of Adaptive distributed parallel Applications through a Cooperative Predictive Control Approach

Reconfiguration Stability of Adaptive Distributed Parallel A...

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19th international conference on Euro-Par

作者： Mencagli, Gabriele Vanneschi, Marco Vespa, Emanuele Univ Pisa Dept Comp Sci I-56127 Pisa Italy

ISBN: (纸本)9783642400476

distributed parallel applications executed on heterogeneous and dynamic environments need to adapt their configuration (in terms of parallelism degree and parallelism form for each component) in response to unpredictable factors related to the physical platform and the application semantics. On emerging Cloud computing scenarios, reconfigurations induce economic costs and performance degradations on the execution. In this context, it is of paramount importance to define smart adaptation strategies able to achieve properties like control optimality (optimizing the application global QoS) and reconfiguration stability, expressed in terms of number of reconfigurations and the average time for which a configuration is not modified. In this paper we introduce a methodology to address this issue, based on Control theory and Optimal Control foundations. We present a first validation of our approach in a simulation environment, outlining its effectiveness and feasibility.

关键词： distributed parallel Computations Reconfigurations Autonomic computing Model-based Predictive Control

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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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Collaborative Learning Agents (CLA) for Swarm Intelligence and Applications to Health Monitoring of System of systems 19th

Collaborative Learning Agents (CLA) for Swarm Intelligence a...

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19th Annual international conference on Computational Science (ICCS)

作者： Zhao, Ying Zhou, Charles C. Naval Postgrad Sch Monterey CA 93943 USA Quantum Intelligence Inc Monterey CA 93943 USA

ISBN: (纸本)9783030227449;9783030227432

the system of systems is the perspective of multiple systems as part of a larger, more complex system. A system of systems usually includes highly interacting, interrelated and interdependent sub-systems that form a complex and unified system. Maintaining the health of such a system of systems requires constant collection and analysis of the big data from sensors installed in the sub-systems. the statistical significance for machine learning (ML) and artificial intelligence (AI) applications improves purely due to the increasing big data size. this positive impact can be a great advantage. However, other challenges arise for processing and learning from big data. Traditional data sciences, ML and AI used in small- or moderate-sized analysis typically require tight coupling of the computations, where such an algorithm often executes in a single machine or job and reads all the data at once. Making a generic case of parallel and distributed computing for a ML/AI algorithm using big data proves a difficult task. In this paper, we described a novel infrastructure, namely collaborative learning agents (CLA) and the application in an operational environment, namely swarm intelligence, where a swarm agent is implemented using a CLA. this infrastructure enables a collection of swarms working together for fusing heterogeneous big data sources in a parallel and distributed fashion as if they are as in a single agent. the infrastructure is especially feasible for analyzing data from internet of things (IoT) or broadly defined system of systems to maintain its well-being or health. As a use case, we described a data set from the Hack the Machine event, where data sciences and ML/AI work together to better understand Navy's engines, ships and system of systems. the sensors installed in a distributed environment collect heterogeneous big data. We show how CLA and swarm intelligence used to analyze data from system of systems and quickly examine the health and maintenance issues a

关键词： Collaborative learning agents Swarm intelligence System of systems Health monitoring Lexical link analysis distributed computing parallel computing Data fusion Machine learning Artificial intelligence

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ChiARTS - Safe subset-regression test selection for C#

ChiARTS - Safe subset-regression test selection for C#

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4th iasted international conference on Advances in Computer Science and Technology, ACST 2008

作者： Channakeshava, Vijaykumar Lakshmanan, Sala Panigrahi, Avinash Shanbhag, Vivek Philips Research Asia Bangalore India International Institute of Information Technology Banglore India

ISBN: (纸本)9780889867307

Regression testing is essential in ensuring continuous improvement of the quality and confidence of every subsequent release of software-products (or long-running projects). However, the (time and man-power) cost of using the entire regression test suite for minor modifications or bug-fixes is often prohibitively high, whereas, the risk associated with releasing a regressed (new) version of the product is not acceptable, either. In this paper we present a technique to identify a small safe subset regression-test-suite for object-oriented managedcode that selects the set of all relevant tests, given the previous and the current versions of the implementation binaries. We have developed ChiARTS, a prototype implementation of our technique for the C# Language, and also overseen its smooth introduction into the test process for a large (internal) software product-line under Philips Medical systems. the design of ChiARTS caters to the needs of our industry-strength test-harness for multi-threaded tests.

关键词： Software testing

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