Jul 18, 2019 · In this context, this paper presents E-LONGWisE, an LRW execution environment that incorporates features such as quiescence, data and state ...
Abstract: Long-running workflow (LRW) is a particular type of workflow whose central aspect is the considerable amount of time to produce results.
This overhead limits sample throughput and restricts the development of more appropriate workflows. Here we describe a novel approach to calibration using [13C]- ...
Jul 19, 2019 · Abstract: Long-running workflow (LRW) is a particular type of workflow whose central aspect is the considerable amount of time to produce ...
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Mar 12, 2021 · An execution environment as a service for adaptive long-running workflows ... The support to LRWs consists of supporting workflow ...
Missing: support | Show results with:support
While data-centered application systems tend to remain stable (i.e., unchanged) for rather long periods of time, process-oriented applications must be modified.
This approach enables users to run their workflows without any advanced knowledge of the current HPC service, however, the tasks may not be executed efficiently ...
In this paper, an architecture for the implementation of an energy-aware adaptive scheduler is presented. The monitoring, analysis, planning and execution (MAPE) ...
Nov 17, 2021 · I am trying to find best practices for creating Human dependent long running workflows and specifically How I would represent things like task/approval queues.
Missing: Adaptive | Show results with:Adaptive
Feb 8, 2021 · This paper aims to present Long4Cloud (long-running workflows execution environment for cloud), a distributed and adaptive LRW execution environment delivered ...
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