Optimization and adaptation of situation-aware applications based on workflow fragments

基于工作流片段的态势感知应用优化与适配

• 批准号: 252975529
• 负责人: Professor Dr. Frank Leymann
• 金额: --
• 依托单位: Institut für Parallele und Verteilte Systeme (IPVS)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2014
• 资助国家: 德国
• 起止时间: 2013-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/252975529?language=en
• 关键词: Optimization; adaptation; situation; aware; applications

The solution SitOPT, which has been developed in the course of the project so far, enables dynamic, autonomous adaptation of workflows to present situations. In a dynamic environment, e.g. a production environment, it is possible to adapt a workflow execution in an appropriate manner to changing and possibly unforeseen situations. SitOPT is pursuing a centralized approach to the control of dynamic environments, which is not suitable for all application domains.In the continuation application, the concept DiStOPT (Distributed SitOPT) is to be developed, in which the developed concepts are extended. The objective of DiStOPT is to monitor distributed dynamic environments on a decentralized basis, in order to adapt processes, which involve several participants and are modeled in the form of choreographies, automatically and globally at runtime. For example, Internet of Things or Industry 4.0 environments can be efficiently monitored and related workflows can be adapted autonomously. Scalability, availability and near-real-time processing play a fundamental role in these distributed scenarios and must therefore be covered by new concepts that clearly go beyond the mechanisms of the previous project.The objective of the expanded research project DiStOPT is to develop concepts and methods that allow decentralized monitoring and adaptation of distributed dynamic environments. In particular, processes that involve more than one participant should be automatically adapted in a global perspective at runtime depending on the situation. In order to monitor modern Internet of Things or Industry 4.0 environments with high efficiency requirements, a flexible deployment of the SitOPT components is designed to detect occurring situations in distributed, diverse system environments. These include, for example, various cloud types, such as edge cloud, private cloud, or public cloud. An edge cloud refers to a system environment that has very short communication paths to context-aware sensors. As a result, data can be processed as close as possible to the sensor and thus long communication paths can be avoided. This allows near-real-time processing of the data to provide situations. Non-time-critical, computationally intensive calculations can, however, be outsourced in private or public-cloud environments. In order to achieve this, a multi-cloud-based management of the SitOPT components on distributed systems must be created. In order to adapt the processes in a collaborative manner, concepts for situation-adaptive choreographies have to be developed which bring the workflow adaptation to a higher level. Both local situations that occur with individual partners as well as global situations affecting all participating partners must be considered.

迄今为止，在项目过程中开发的解决方案 SitOPT 能够根据当前情况动态、自主地调整工作流程。在动态环境中，例如在生产环境中，可以以适当的方式调整工作流程执行以适应不断变化的和可能不可预见的情况。 SitOPT追求的是集中式方法来控制动态环境，这并不适合所有应用领域。在延续应用中，将开发DiStOPT（分布式SitOPT）概念，其中扩展了已开发的概念。 DiStOPT 的目标是在分散的基础上监控分布式动态环境，以便在运行时自动和全局地适应涉及多个参与者并以编排形式建模的流程。例如，可以有效监控物联网或工业 4.0 环境，并可以自主调整相关工作流程。可扩展性、可用性和近实时处理在这些分布式场景中发挥着基础作用，因此必须涵盖明显超出先前项目机制的新概念。扩展研究项目 DiStOPT 的目标是开发概念和允许分散监控和适应分布式动态环境的方法。特别是，涉及多个参与者的流程应根据情况在运行时从全局角度自动调整。为了监控具有高效率要求的现代物联网或工业4.0环境，SitOPT组件的灵活部署旨在检测分布式、多样化系统环境中发生的情况。例如，这些包括各种云类型，例如边缘云、私有云或公共云。边缘云是指与上下文感知传感器的通信路径非常短的系统环境。因此，可以在尽可能靠近传感器的地方处理数据，从而避免长通信路径。这允许近乎实时地处理数据以提供情况。然而，非时间关键型、计算密集型计算可以外包到私有云或公共云环境中。为了实现这一目标，必须在分布式系统上创建基于多云的 SitOPT 组件管理。为了以协作方式调整流程，必须开发情景自适应编排的概念，从而将工作流程调整提升到更高的水平。必须考虑个别合作伙伴发生的本地情况以及影响所有参与合作伙伴的全球情况。

项目成果

SiDD: The Situation-Aware Distributed Deployment System

SiDD：态势感知分布式部署系统

• DOI: 10.1007/978-3-030-76352-7_11
• 发表时间: 2020
• 作者: Képes; Kálmán;Leymann; Frank;Weder; Benjamin;Wild Karoline
• 通讯作者: Wild Karoline

Deployment of Distributed Applications Across Public and Private Networks

跨公共和专用网络部署分布式应用程序

• DOI: 10.1109/edoc.2019.00036
• 发表时间: 2019
• 期刊: 2019 IEEE 23rd International Enterprise Distributed Object Computing Conference (EDOC)
• 作者: Képes; Kálmán;Breitenbücher; Uwe;Leymann; Frank;Saatkamp; Karoline;Weder; Benjamin
• 通讯作者: Benjamin

A Blueprint for a Trustworthy Health Data Platform Encompassing IoT and Blockchain Technologies

包含物联网和区块链技术的值得信赖的健康数据平台蓝图

• DOI: 10.29007/1sbn
• 发表时间: 2021-03-01
• 期刊: Proceedings of the National Academy of Sciences
• 作者: Dennis Przytarski;Christoph Stach;Clémentine Gritti;B. Mitschang
• 通讯作者: B. Mitschang

Artifact Abstract: MBP: Not just an IoT platform

神器摘要：MBP：不仅仅是一个物联网平台

• DOI: 10.1109/percom45495.2020.9127352
• 发表时间: 2020
• 期刊: 2020 IEEE International Conference on Pervasive Computing and Communications (PerCom)
• 作者: Franco da Silva; Ana Cristina;Hirmer; Pascal;Schneider; Jan;Ulusal; Seda;Tavares Frigo; Matheus
• 通讯作者: Matheus

DEAR: Distributed Evaluation of Alerting Rules

亲爱的：警报规则的分布式评估

• DOI: 10.1109/cloud49709.2020.00034
• 发表时间: 2020-10-01
• 期刊: 2020 IEEE 13th International Conference on Cloud Computing (CLOUD)
• 作者: M. Mormul;Pascal Hirmer;Christoph Stach;B. Mitschang
• 通讯作者: B. Mitschang