Provisions for Service Co-Evolution - Phase 2 (PROSECCO-2)

服务协同演进的规定 - 第 2 阶段 (PROSECCO-2)

• 批准号: 280611965
• 负责人: Professor Dr. Kurt Geihs
• 金额: --
• 依托单位: Hanoi University of Science and Technology (HUST)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2015
• 资助国家: 德国
• 起止时间: 2014-12-31 至 2019-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/280611965?language=en
• 关键词: Provisions; Service; Co; Evolution; Phase

Actively used software must evolve continuously in order to maintain its utility and quality. Adding new features, removing obsolete features, fixing bugs, closing security holes, improving performance – all require updating a software product from time to time. Certainly, this is also true for services provided via a computer network. Support for service evolution is a sine-qua-non for large-scale service environments. The need for service evolution support will grow with the further proliferation and criticality of service-oriented computing systems. Services do not work in isolation. Services have active service providing relationships with clients. Services are part of business processes where services depend on other services. This is particularly true for micro-services. These interdependencies make on-the-fly service evolution a particularly difficult and challenging problem because the evolution of a service may require changes in other dependent services and clients. In analogy to biology, we call this “service co-evolution”. The fundamental research question that we intend to answer in Phase 2 is still the same as in Phase 1: How can we support a coordinated service co-evolution in complex service landscapes composed of a variety of services that depend on each other? In Phase 1, we laid the foundations for multi-party service co-evolution. We defined and classified evolutionary changes that might happen in services and their potential impact on dependent services. We developed an agent-based architecture for service co-evolution that equips every service with an Evolution Agent (EVA) which performs the service evolution in collaboration with other EVAs. Next, we presented a language and communication protocols for communicating changes among EVAs. Additionally, we developed a framework named DiCORE that automates the multi-agent co-evolution process. Last but not least we implemented an initial prototype in the realm of a Smart City scenario. In Phase 2, we will extend the results of Phase 1 and shift our emphasis to the development of techniques, processes and software for the following research objectives: (i) decentralized on-the-fly decision making about the participation and planning of the execution of a service co-evolution for involved EVAs; (ii) monitoring and run-time testing to verify functional and non-functional service properties before, during and after service co-evolution; (iii) on-the-fly optimization of the multi-agent co-evolution configuration and coordination; (iv) an open source prototype implementation and demonstrators in the realm of Smart City. These solutions extend the results from Phase 1 such that in the end we will deliver a comprehensive software infrastructure for service co-evolution.For topic (iii), we will collaborate with Vietnamese partners from two universities in Hanoi.

积极使用的软件必须不断发展，以保持其实用性和质量。添加新功能、删除过时功能、修复错误、关闭安全漏洞、提高性能-所有这些都需要不时更新软件产品。当然，通过计算机网络提供的服务也是如此。对服务演进的支持是大规模服务环境的必要条件。随着面向服务的计算系统的进一步扩散和重要性，对服务演进支持的需求将增长。服务不是孤立地工作的。服务具有主动服务，提供与客户的关系。服务是业务流程的一部分，其中服务依赖于其他服务。对于微服务来说，更是如此。这些相互依赖性使得动态服务演化成为一个特别困难和具有挑战性的问题，因为服务的演化可能需要改变其他依赖的服务和客户端。与生物学类似，我们称之为“服务协同进化”。 我们打算在第二阶段回答的基本研究问题仍然与第一阶段相同：我们如何在由相互依赖的各种服务组成的复杂服务环境中支持协调的服务协同进化？ 在第一阶段，我们为多方服务协同进化奠定了基础。我们定义并分类了服务中可能发生的演化变化及其对相关服务的潜在影响。我们开发了一种基于代理的服务协同进化体系结构，为每个服务配备一个进化代理（伊娃），它与其他EVA合作执行服务进化。接下来，我们提出了一种语言和通信协议，用于在EVA之间传达更改。此外，我们还开发了一个名为DiCORE的框架，它可以自动化多智能体协同进化过程。最后但并非最不重要的是，我们在智能城市场景领域实现了一个初始原型。在第二阶段，我们将扩展第一阶段的成果，并将重点转移到技术、流程和软件的开发上，以实现以下研究目标：（i）关于参与EVA的服务协同进化的参与和规划执行的分散化动态决策;（ii）监测和运行时间测试，以在服务共同演进之前、期间和之后验证功能性和非功能性服务属性;（iii）多智能体协同进化配置和协调的动态优化;（iv）智能城市领域的开源原型实现和演示。这些解决方案扩展了第一阶段的成果，最终我们将为服务协同进化提供全面的软件基础设施。对于主题（iii），我们将与来自河内两所大学的越南合作伙伴合作。

项目成果

DECOM: A framework to support evolution of IoT services

DECOM：支持物联网服务演进的框架

• DOI: 10.1145/3287921.3287979
• 发表时间: 2018
• 期刊: Proceedings of the 9th International Symposium on Information and Communication Technology
• 作者: Tam Huu;Alexander;Kuppili;Ramaprasad;Nguyen;Thang Xuan;Binh Huynh;Thanh Thi
• 通讯作者: Thanh Thi

A Self-Organising Multi-Agent Knowledge Base

自组织多代理知识库

• DOI: 10.1109/icws49710.2020.00049
• 发表时间: 2020
• 期刊: 2020 IEEE International Conference on Web Services (ICWS)
• 作者: Stefan;Alexander;Baraki
• 通讯作者: Baraki

ALICA 2.0 - Domain-Independent Teamwork

ALICA 2 0 - 领域独立团队合作

• DOI: 10.1007/978-3-030-30179-8_22
• 发表时间: 2019
• 作者: Stephan;Stefan;Alexander
• 通讯作者: Alexander

Optimizing Applications for Mobile Cloud Computing Through MOCCAA

• DOI: 10.1007/s10723-019-09492-0
• 发表时间: 2019-11
• 期刊: Journal of Grid Computing
• 影响因子: 5.5
• 作者: Harun Baraki;Alexander Jahl;Stefan Jakob;Corvin Schwarzbach;Malte Fax;K. Geihs