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Titlebook: Euro-Par 2017: Parallel Processing Workshops; Euro-Par 2017 Intern Dora B. Heras,Luc Bougé,Josef Weidendorfer Conference proceedings 2018 S

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发表于 2025-3-21 17:49:50 | 显示全部楼层 |阅读模式
书目名称Euro-Par 2017: Parallel Processing Workshops
副标题Euro-Par 2017 Intern
编辑Dora B. Heras,Luc Bougé,Josef Weidendorfer
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Euro-Par 2017: Parallel Processing Workshops; Euro-Par 2017 Intern Dora B. Heras,Luc Bougé,Josef Weidendorfer Conference proceedings 2018 S
描述.This book constitutes the proceedings of the workshops of the 23rdInternational Conference on Parallel and Distributed Computing, Euro-Par2017, held in Santiago de Compostela. Spain in August 2017. .  The 59 full papers presented were carefully reviewed and selected from 119 submissions..Euro-Par is an annual, international conference in Europe, covering all aspects of parallel and distributed processing. These range from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-edged applications, from architecture, compiler, language and interface design and implementation to tools, support infrastructures, and application performance aspects..
出版日期Conference proceedings 2018
关键词Programming Languages, Compilers, Interpreters; Parallel programming languages; Distributed programmin
版次1
doihttps://doi.org/10.1007/978-3-319-75178-8
isbn_softcover978-3-319-75177-1
isbn_ebook978-3-319-75178-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Container-Based Support for Autonomic Data Stream Processing Through the Fogre runs applications as Docker containers, and it exploits the native features of Docker to dynamically scale up/down the resources of a fog node assigned to the applications running on it. Preliminary results demonstrate that Docker containers are appropriate for building migratable autonomic solut
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Nornir: A Customizable Framework for Autonomic and Power-Aware Applicationss on performance or power consumption. In many cases, providing explicit guarantees on performance is of paramount importance. In streaming applications, this is related with the concept of ., i.e. being able to allocate the proper amount of resources to match the current demand as closely as possib
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Supporting Advanced Patterns in G,PPI, a Generic Parallel Pattern Interfaceintensive and stream-processing applications. In this paper, we complement the basic patterns supported by ., a C++ General and Reusable Parallel Pattern Interface of the state-of-the-art, with the advanced parallel patterns ., ., and .. This collection of advanced patterns is basically oriented to
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Stateful Load Balancing for Parallel Stream Processingl operators with key grouping for which the process of load balancing involves a lot of state movements. Consequently, load balancing is a bi-objective optimization problem, namely . (MCLB). We address MCLB with two approximate algorithms by a certain relaxation of the objectives: (1) a greedy algor
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Towards Hierarchical Autonomous Control for Elastic Data Stream Processing in the Fogcally scale their execution on multiple computing nodes so to adjust to unpredictable data source rate. In this paper, we present a hierarchical and distributed architecture for the autonomous control of elastic DSP applications. It revolves around a two layered approach. At the lower level, distrib
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