Tasklets: an approach to best-effort computing

Tasklet：一种尽力而为计算的方法

• 批准号: 323412509
• 负责人: Professor Dr. Christian Becker
• 金额: --
• 依托单位: Abteilung Verteilte Systeme
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/323412509?language=en
• 关键词: Tasklets; approach; best; effort; computing

The goal of this proposal is the investigation of concepts for a lightweight computing abstraction. This shall enable to process computation in a uniform way on a variety of heterogeneous platforms ranging from embedded systems, over mobile devices to cloud instances. The initial platform does not give guarantees about the execution and only provides a best-effort service. Based on this, a variety of different Quality of Computations (QoC) will be investigated.

本提案的目标是调查轻量级计算抽象的概念。这将使得能够在各种异构平台上以统一的方式处理计算，从嵌入式系统、移动的设备到云实例。初始平台不提供执行保证，只提供尽力而为的服务。在此基础上，将研究各种不同的计算质量（QoC）。