Titlebook: Euro-Par 2019: Parallel Processing Workshops; Euro-Par 2019 Intern Ulrich Schwardmann,Christian Boehme,Stephen L. Sco Conference proceeding

预定

https://doi.org/10.1007/978-3-642-94478-9escribing user stories. Then provides the description of the use case concerning the rechargeable token, one of the main feature of our system, and its interaction with the other components of the system. Finally, the paper compares our implementation choice with other ongoing projects in the field of energy trading.

CRACK

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Unsaturated-Fat

Ethereum Transaction Performance Evaluation Using Test-Netsction acceptance latency. The results show that the end-to-end transaction time in Ethereum is unstable. Consequently, the applications with low latency constraints and high frequency transaction requirements are not ready to be deployed unless off-chain transaction methods are considered.

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Minimizing Self-adaptation Overhead in Parallel Stream Processing for Multi-coreseds, image, and data analytics). Employing self-adaptivity to stream processing applications can provide higher-level programming abstractions and autonomic resource management. However, there are cases where the performance is suboptimal. In this paper, the goal is to optimize parallelism adaptatio

Oratory

A Fully Decentralized Autoscaling Algorithm for Stream Processing Applicationsloyment of such applications which are commonly pipelines of operators to be traversed by each data item. Due to the varying velocity of the streams, autoscaling is needed to dynamically adapt the number of instances of each operator. With the advent of geographically-dispersed computing platforms s

Small-Intestine

Transparent Autonomicity for OpenMP Applications overhead. Several solutions have been proposed, differing in terms of effort required by the application programmers to add autonomic capabilities to their applications. In this work we extend the . autonomic framework, allowing it to transparently monitor OpenMP applications thanks to the novel Op