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.

到目前为止在项目过程中开发的解决方案SITOPT可以使工作流程的动态，自主适应以呈现情况。在动态环境中，例如一个生产环境，可以以适当的方式调整工作流执行，以改变和可能无法预料的情况。 Sitopt正在采用一种集中的方法来控制动态环境，这不适合所有应用程序域。在持续应用程序中，将开发概念Distopt（分布式SITOPT），在其中扩展了开发的概念。 Distopt的目的是在分散的基础上监视分布式动态环境，以调整涉及几个参与者的过程，并以编舞的形式自动和全球在运行时进行建模。例如，可以有效地监控物联网或行业4.0环境，并且可以自主调整相关的工作流程。可伸缩性，可用性和近实时处理在这些分布式方案中起着基本作用，因此必须被新概念所涵盖，这些概念显然超出了先前项目的机制。扩展的研究项目Distopt的目的是开发概念和方法，以允许分散的分散监测和适应分布式动态环境。特别是，涉及多个参与者的过程应根据情况在运行时自动进行自动调整。为了监视具有高效率要求的现代物联网或行业4.0环境，Sitopt组件的灵活部署旨在检测分布式，多样化的系统环境中的情况。这些包括例如各种云类型，例如边缘云，私有云或公共云。边缘云是指具有上下文感知传感器的通信路径非常短的系统环境。结果，可以尽可能靠近传感器处理数据，从而避免使用较长的通信路径。这允许对数据进行近实时处理以提供情况。但是，可以在私人或公共云环境中外包非时期的计算密集型计算。为了实现这一目标，必须创建分布式系统上SITOPT组件的多云管理。为了以协作的方式调整过程，必须开发情况自适应编排的概念，以使工作流适应更高层次。必须考虑各个合作伙伴以及影响所有参与伙伴的全球情况的本地情况。

项目成果

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

• DOI: 10.29007/1sbn
• 发表时间: 2021-03
• 作者: Dennis Przytarski;Christoph Stach;Clémentine Gritti;B. Mitschang

Deployment of Distributed Applications across Public and Private Networks

• DOI: 10.1109/edoc.2019.00036
• 发表时间: 2019-01-01
• 期刊: 2019 IEEE 23RD INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING CONFERENCE (EDOC)
• 作者: Kepes, Kalman;Breitenbuecher, Uwe;Weder, Benjamin
• 通讯作者: Weder, Benjamin

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;Benjamin;Wild Karoline
• 通讯作者: Wild Karoline

Model-Based Operator Placement for Data Processing in IoT Environments

物联网环境中基于模型的数据处理操作员放置

• DOI: 10.1109/smartcomp.2019.00084
• 发表时间: 2019
• 期刊: 2019 IEEE International Conference on Smart Computing (SMARTCOMP)
• 作者: Franco da Silva;Ana Cristina;Hirmer;Pascal;Mitschang;Bernhard
• 通讯作者: Bernhard

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;Ulusal;Tavares Frigo;Matheus
• 通讯作者: Matheus