2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)最新文献_第3页

Collective Learning: A 10-Year Odyssey to Human-centered Distributed Intelligence 集体学习:走向以人为中心的分布式智能的十年奥德赛

2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) Pub Date : 2020-08-01 DOI: 10.1109/ACSOS49614.2020.00043

Evangelos Pournaras

引用次数: 13

ACSOS 2020 Commentary 国家统计局 2020 年评论

2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) Pub Date : 2020-08-01 DOI: 10.1109/acsos49614.2020.00001

引用次数: 0

REACT: A Model-Based Runtime Environment for Adapting Communication Systems REACT:适应通信系统的基于模型的运行时环境

2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) Pub Date : 2020-08-01 DOI: 10.1109/ACSOS49614.2020.00027

Martin Pfannemüller, Martin Breitbach, Christian Krupitzer, Markus Weckesser, C. Becker, B. Schmerl, Andy Schürr

{"title":"REACT: A Model-Based Runtime Environment for Adapting Communication Systems","authors":"Martin Pfannemüller, Martin Breitbach, Christian Krupitzer, Markus Weckesser, C. Becker, B. Schmerl, Andy Schürr","doi":"10.1109/ACSOS49614.2020.00027","DOIUrl":"https://doi.org/10.1109/ACSOS49614.2020.00027","url":null,"abstract":"Trends such as the Internet of Things or edge computing lead to a growing number of networked devices. Hence, it is becoming increasingly important to manage communication systems at runtime. Adding self-adaptive capabilities is one approach to reduce administrative effort and cope with changing execution contexts. Existing frameworks for building self-adaptive software can help to reduce development effort in general. Yet, they are neither tailored towards the use in communication systems nor easily usable without profound knowledge in self-adaptive systems development. In this paper, we propose REACT, a reusable, model-based runtime environment to complement communication systems with adaptive behavior. It addresses the heterogeneity and distribution aspects of networks and reduces development effort. REACT empowers developers of communication systems to add adaptive behavior without having experience in self-adaptive systems development. We show the effectiveness and efficiency of our prototype in an experimental evaluation based on two distinct use cases from the communication systems domain: cloud resource management and software-defined networking. The first use case includes a comparison with Rainbow, which represents a state-of-the-art model-based framework for building self-adaptive systems. The second use case applies REACT in a sophisticated, real-world communication system scenario.","PeriodicalId":310362,"journal":{"name":"2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114187815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

FCPP: an efficient and extensible Field Calculus framework FCPP:一个高效和可扩展的域演算框架

2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) Pub Date : 2020-08-01 DOI: 10.1109/ACSOS49614.2020.00037

Giorgio Audrito

{"title":"FCPP: an efficient and extensible Field Calculus framework","authors":"Giorgio Audrito","doi":"10.1109/ACSOS49614.2020.00037","DOIUrl":"https://doi.org/10.1109/ACSOS49614.2020.00037","url":null,"abstract":"The Field Calculus is a promising language for the self-organisation of distributed devices, allowing to express on a high level of abstraction complex distributed algorithms with robust behaviour guarantees. This language has been argued to be fruitfully applicable to many different contexts: wireless sensor networks, internet of things, self-organising edge, fog or cloud computing scenarios, and simulations of such. However, existing implementations of this language rely on the Java Virtual Machine and have an high performance overhead, impairing their usability in contexts where performance is critical (cloud) or computational resources are tightly bounded (WSN/IoT).In this paper we present FCPP, a novel implementation of the Field Calculus as a C++ library. The library is built as a component-based system, in order to be easily extensible to fit different contexts. Furthermore, it leverages C++ template patterns to allow compile-time optimisation and minimal performance overhead, and enables fine-grained parallelism for scalability in self-organising cloud applications. A case study of an edge simulation shows the performance improvement compared to existing Field Calculus implementations, while preserving the same level of abstraction. This translates to a significant speed-up in the development process of distributed algorithms, paving the way towards application scenarios for which existing tools are unsuitable: microcontroller systems and self-organising cloud.","PeriodicalId":310362,"journal":{"name":"2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129142790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 17