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检索条件"任意字段=12th Euromicro Conference on Parallel, Distributed and Network-Based Processing"

共 1250 条记录，以下是251-260 订阅

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A Dynamic Multi-core Multicast Approach for Delay and Delay Variation Multicast Routing 26

A Dynamic Multi-core Multicast Approach for Delay and Delay ...

引用

26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Harutyunyan, Hovhannes A. Terzian, Meghrig Concordia Univ Dept Comp Sci & Software Engn Montreal PQ Canada

ISBN: (纸本)9781538649756

Multicast communication constrained by end-to-end delay and inter-destination delay variation is known as Delay and Delay Variation Bounded Multicast (DVBM). In this paper, we propose a dynamic multi-core multicast approach to solve the DVBM problem. the proposed three-phase algorithm, Multi-core DVBM Trees (MCDVBMT), semi-matches group members to core nodes. the message is disseminated to group members using trees rooted at the designated core nodes. MCDVBMT dynamically reorganizes the rooted trees in response to changes to multicast group members. On average, only 5.2% of the total requests trigger re-executions and 53.6% of the graphs generated by MCDVBMT suffer from re-execution before receiving all dynamic requests.

关键词： multicast multi-core QoS delay delay variation dynamic reorganization

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Quantifying the Interaction Between Structural Properties of Software and Hardware in the ARM *** Architecture 26

Quantifying the Interaction Between Structural Properties of...

引用

26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Stepanovic, Srboljub Georgakarakos, Georgios Holmbacka, Simon Lilius, Johan Abo Akad Univ Fac Sci & Engn Turku Finland

ISBN: (纸本)9781538649756

Heterogeneous architectures offer the opportunity to achieve high performance and energy efficiency by selecting appropriate cores for execution of ever changing software applications. Appropriate core selection depends on the interaction between the structural properties of the software and the hardware that influences performance of the software. We propose a model for efficient core selection when executing software on ARMs big. LITTLE heterogeneous architecture. It features a metric based on the correlation between the performance and the number of last level data cache (LLC) misses on a big and a LITTLE core. Additionally our model defines a soft threshold in terms of the number of LLC misses that determines efficient core selection. We verify the model on both a stress benchmark (stress-ng) and a performance and energy demanding application (HEVC decoding) using XMEM and Linux perf dynamic tools.

关键词： Pipelines Benchmark testing Software Hardware Multicore processing Tools Microarchitecture

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Endolith: A Blockchain-based Framework to Enhance Data Retention in Cloud Storages 26

Endolith: A Blockchain-based Framework to Enhance Data Reten...

引用

26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Renner, thomas Mueller, Johannes Kao, Odej Tech Univ Berlin Berlin Germany

ISBN: (纸本)9781538649756

Blockchains like Bitcoin and Ethereum have seen significant adoption in the past few years and show promise to design applications without any centralized reliance on third parties. In this paper, we present Endolith, an auditing framework for verifying file integrity and tracking file history without third party reliance using a smart contract-based blockchain. Annotated files are continuously monitored and metadata about changes including file hashes are stored tamper-proof on the blockchain. based on this, Endolith can prove that a file stored a long time ago has not been changed without authorization or, if it did, track when it has changed, by whom. Endolith implementation is based on Ethereum and Hadoop distributed File System (HDFS). Our evaluation on a public blockchain network shows that Endolith is efficient for files that are infrequently modified but often accessed, which are common characteristics of data archives.

关键词： Contracts Metadata Peer-to-peer computing History File systems Monitoring

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Exploiting Task-based parallelism for parallel Discrete Event Simulation 26

Exploiting Task-Based Parallelism for Parallel Discrete Even...

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Wang, Yizhuo Gao, Zhiwei Ji, Weixing Zhang, Han Qing, Duzheng Beijing Inst Technol Sch Comp Sci Beijing Peoples R China Beijing Simulat Ctr Sci & Technol Special Syst Simulat Lab Beijing Peoples R China

ISBN: (纸本)9781538649756

Today large-scale simulation applications are becoming common in research and industry. A significant fraction of them run on multi-core clusters. Current parallel simulation kernels use multi-process and multi-thread to exploit inter-node parallelism and intra-node parallelism on multi-core clusters. We exploit task-base parallelism in parallel discrete event simulation (PDES) kernels, which is more fine-grained than thread-level and process-level parallelism. In our system, every simulation event is wrapped to a task. Work-stealing task scheduling scheme is applied to achieve dynamic load balancing among the multi-cores, and a graph partitioning approach is applied in partitioning simulation entities among the cluster nodes. Experimental results show that our PDES kernel outperforms existing PDES kernels by fully exploiting task parallelism.

关键词： parallel discrete event simulation multi-core cluster task-based parallel programming work-stealing

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An adaptive cloud-based IoT back-end architecture and its applications 26

An adaptive cloud-based IoT back-end architecture and its ap...

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Marosi, Attila Csaba Farkas, Attila Lovas, Robert Hungarian Acad Sci MTA SZTAKI Inst Comp Sci & Control Lab Parallel & Distributed Syst POB 63 H-1518 Budapest Hungary

ISBN: (纸本)9781538649756

Internet of things (IoT) is playing increasingly more fundamental role in wide range of sectors, including industry, agriculture, health care, and other services. In many cases, cloud computing serves as an elastic and efficient paradigm for implementing IoT back-ends. With the emerging lightweight software container technologies, the feasible approaches and design options for such IoT back-ends have been significantly enriched. In our paper we present the evolution of an IoT back-end, which is responsible for collecting (among others) meteorological, image and soil data from cultivated fields in order to enable precision farming. the different versions, namely the cloud VM-based and the Docker containerized variants, provide highly scalable and vendor independent (cloud provider agnostic) solutions, therefore they can form a robust and adaptive framework for further pilot applications areas, e.g. Connected Cars and Industry 4.0, as the presented benchmarks illustrate the throughput and other parameters of the current implementation in the paper.

关键词： IoT precision agriculture big data data ingestion containers

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A generic learning multi-agent-system approach for Spatio-Temporal-, thermal- and Energy-Aware Scheduling 26

A generic learning multi-agent-system approach for Spatio-Te...

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Herzog, Christina Pierson, Jean-Marc Univ Pau & Adour Country LIUPPA Bayonne France Efficit SAS Bayonne France Univ Toulouse IRIT CNRS INPTUPSUT1UT2J Toulouse France

ISBN: (纸本)9781538649756

this paper proposes an agent based approach to the scheduling of jobs in datacenters under thermal constraints. the model encompasses both temporal and spatial aspects of the temperature evolution using a unified model, taking into account the dynamics of heat production and dissipation. Agents coordinate to eventually move jobs to the best suitable place and to adapt dynamically the frequency settings of the nodes to the best combination. Several objectives of the agents are compared under different circumstances by an extensive set of experiments.

关键词： Heating systems Scheduling Computational modeling Processor scheduling Servers Cooling

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Cellular Automata Modelling of the Movement of People with Disabilities during Building Evacuation 26

Cellular Automata Modelling of the Movement of People with D...

引用

26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Kontou, Panagiota Georgoudas, Ioakeim G. Sirakoulis, Georgios Ch. Trunfio, Giuseppe A. Democritus Univ Thrace DUTh Dept Elect & Comp Engn GR-67100 Xanthi Greece Univ Sassari Dept Architecture Sassari Italy

ISBN: (纸本)9781538649756

this study deals with the evacuation of areas that involve people with disabilities. A crowd evacuation model has been developed using the Cellular Automata (CA) parallel computing tool. this model is capable of simulating and evaluating human behavior and special features that exist when people with disabilities are included in the process of evacuation. During the experimental process, the model simulates the evacuation of a secondary school for disabled children in the prefecture of Xanthi. After attendance and observation of an earthquake safety exercise organized by this school, the total evacuation time is recorded. At the end of this study, the developed model is validated on the basis of actual data and useful conclusions are drawn for the specific application area. In addition, with the modification of the original data, the model is applicable to every building case.

关键词： cellular automata (CA) evacuation modeling people with disabilities safety school

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Memory-Aware Genetic Algorithms for Task Mapping on Hard Real-Time networks-on-Chip 26

Memory-Aware Genetic Algorithms for Task Mapping on Hard Rea...

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Still, Lloyd Robert Indrusiak, Leandro Soares Univ York Real Time Syst Grp Dept Comp Sci York N Yorkshire England

ISBN: (纸本)9781538649756

the problem of mapping hard real-time tasks onto networks-on-chip has previously been successfully addressed by genetic algorithms. However, none of the existing problem formulations consider memory constraints. State-of-the-art genetic mappers are therefore able to find fully-schedulable mappings which are incompatible with the memory limitations of realistic platforms. In this paper, we extend the problem formulation and devise a memory architecture, in the form of private local memories. We then propose three memory models of increasing complexity and realism, and evaluate the impact these additional constraints pose to the genetic search. We conduct extensive experiments using tasks and communications from a realistic benchmark application, and compare the proposed approach against a state-of-the-art baseline mapper.

关键词： Real-time systems Multi-core processing

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Performability Analysis of Mesh-based NoCs Using Markov Reward Model 26

Performability Analysis of Mesh-based NoCs Using Markov Rewa...

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Hou, Jie Radetzki, Martin Univ Stuttgart Chair Embedded Syst Stuttgart Germany

ISBN: (纸本)9781538649756

Technology scaling makes it possible to implement systems with hundreds of processing cores, and thousands in the future. the communication in such systems is enabled by networks-on-Chips (NoCs). A downside of technology scaling is the increased susceptibility to failures in NoC resources. Ensuring reliable operation despite such failures degrades NoC performance and may even invalidate the performance benefits expected from scaling. thus, it is not enough to analyze performance and reliability in isolation, as usually done. Instead, we suggest treating both aspects together using the concept of performability and its analysis with Markov reward models. Our methodology is exemplified for mesh NoCs and transient faults but can be transferred to other topologies and fault models. We investigate how performability develops with scaling towards larger NoCs and explore the limits of scaling by determining the break-even failure rates under which scaling can achieve net performance increase.

关键词： Performability degradable systems Markov models Markov reward models NoCs Mesh

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Social Auto-Scaling 26

Social Auto-Scaling

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Smith, Peter Gonzalez-Velez, Horacio Caton, Simon Natl Coll Ireland Sch Comp Dublin 1 Ireland

ISBN: (纸本)9781538649756

Today, auto-scaling solutions are still largely reactive and are based on the load measured on existing nodes nearing a threshold or traffic forecast information provided in advance of a scheduled event. Despite these advancements, events which cause a flash flood of web traffic do not always benefit from this approach to auto-scaling because the latency of provisioning new nodes is not sufficient to prevent resource saturation. this paper proposes a novel approach to preemptive compute scaling based on the buzz of specific social network hashtags. We argue that improved scaling latency and service availability can be achieved for web services that receive intermittent as well as unexpected traffic load patterns. By combining social network monitoring, with auto-scaling frameworks, this approach can reduce the operational expense impact of over-and under-provisioning as well as the business costs of the latter. We demonstrate our approach using the AWS application suite, and demonstrate how our approach expedites the auto-scaling strategy for our use case: public transportation web sites.

关键词： Auto-scaling Web Applications Social network Platforms Resource Management Twitter Social Cloud Computing

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