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

Abridge

書目名稱Euro-Par 2017: Parallel Processing Workshops影響因子(影響力)




書目名稱Euro-Par 2017: Parallel Processing Workshops影響因子(影響力)學科排名




書目名稱Euro-Par 2017: Parallel Processing Workshops網絡公開度




書目名稱Euro-Par 2017: Parallel Processing Workshops網絡公開度學科排名




書目名稱Euro-Par 2017: Parallel Processing Workshops被引頻次




書目名稱Euro-Par 2017: Parallel Processing Workshops被引頻次學科排名




書目名稱Euro-Par 2017: Parallel Processing Workshops年度引用




書目名稱Euro-Par 2017: Parallel Processing Workshops年度引用學科排名




書目名稱Euro-Par 2017: Parallel Processing Workshops讀者反饋




書目名稱Euro-Par 2017: Parallel Processing Workshops讀者反饋學科排名

MOT

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

NOVA

分離

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

小溪

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

使更活躍

使更活躍

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

aneurysm

裹住

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

Choreography