{"title":"ACSOS 2021 Tutorials","authors":"","doi":"10.1109/ACSOS-C52956.2021.00019","DOIUrl":"https://doi.org/10.1109/ACSOS-C52956.2021.00019","url":null,"abstract":"Provides an abstract for each of the tutorial presentations and may include a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.","PeriodicalId":268224,"journal":{"name":"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126110611","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}
J. Wilfert, Niklas Paprotta, Oliver Kosak, S. Stieber, Alexander Schiendorfer, W. Reif
{"title":"A Real-Word Realization of the AntNet Routing Algorithm with ActivityBots","authors":"J. Wilfert, Niklas Paprotta, Oliver Kosak, S. Stieber, Alexander Schiendorfer, W. Reif","doi":"10.1109/ACSOS-C52956.2021.00072","DOIUrl":"https://doi.org/10.1109/ACSOS-C52956.2021.00072","url":null,"abstract":"To ease teaching self-organizing systems design, we implemented the AntNet routing algorithm for real-world application using educational robots called ActivityBot. Using line sensors and ultrasonic distance sensors, the robotic ants traverse a tiled graph printed on paper, collectively converging to the shortest path. In our descriptions, we address the challenges to face when employing such self-organizing systems on educational hardware and provide a video on YouTube https://youtu.be/JFduHJ0o0UM.","PeriodicalId":268224,"journal":{"name":"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126744186","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}
{"title":"Multi - Level Online Learning and Reasoning for Self-Integrating Systems","authors":"Marius Pol, A. Diaconescu","doi":"10.1109/ACSOS-C52956.2021.00052","DOIUrl":"https://doi.org/10.1109/ACSOS-C52956.2021.00052","url":null,"abstract":"Self-improving and self-integrating systems (SISSY) often employ runtime models to represent their state and environment, and reason upon them to determine the required adaptation logic for reaching their goals. However, most model-based approaches rely on static modeling languages and cannot handle runtime uncertainty (e.g. dynamically integrated resources) that requires online language extensions. In previous work, we proposed an approach to extend the system's modeling language with new monitoring and action dimensions. However, the solution generates a high number of new language elements, slowing down the reasoning process for large systems. In this position paper, we propose a multi-level approach for extending the modeling language at runtime, and aim to provide online learning and reasoning at multiple levels of abstraction. Increasing the modeling abstraction decreases the number of concepts to reason about, hence improving scalability. We provide a preliminary validation of this proposal by detecting novel abstract dimensions from monitoring data from the smart home domain.","PeriodicalId":268224,"journal":{"name":"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116589987","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}
{"title":"6th Workshop on Engineering Collective Adaptive Systems (eCAS 2021) [Committees]","authors":"","doi":"10.1109/acsos-c52956.2021.00014","DOIUrl":"https://doi.org/10.1109/acsos-c52956.2021.00014","url":null,"abstract":"","PeriodicalId":268224,"journal":{"name":"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121202235","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}
{"title":"A Logic-based Multiagent Product Configuration Model","authors":"Emad Eldeen Elakehal, Joost Vennekens","doi":"10.1109/ACSOS-C52956.2021.00031","DOIUrl":"https://doi.org/10.1109/ACSOS-C52956.2021.00031","url":null,"abstract":"Product configuration is an essential task in manufacturing customised products and is becoming more important as companies move to collaborative manufacturing, collaborative procurement, and collaborative inventory, to offer faster and more cost effective services and products. Hence the need for proactive complex distributed systems. Modelling Self-managing Multi Agent Systems (MSMAS) is a software development methodology that facilitates the design and development of complex distributed systems based on the multi agent systems paradigm. In this paper, we propose a model for product configuration systems using the MSMAS methodology. We utilise MSMAS system norms to model a novel negotiation protocol, and model the life cycle of these norms as non-atomic activities. We also formally express them as Event Calculus (EC) theories. In addition, we formally describe how to find both partial and complete solutions for the product configuration problem, and how conflict can be resolved.","PeriodicalId":268224,"journal":{"name":"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128017878","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}
{"title":"Towards Integration of Multi-Agent Planning with Self-Organising Collective Processes","authors":"Giorgio Audrito, Roberto Casadei, G. Torta","doi":"10.1109/ACSOS-C52956.2021.00042","DOIUrl":"https://doi.org/10.1109/ACSOS-C52956.2021.00042","url":null,"abstract":"In this paper, we investigate the relationship between multi-agent planning and self-organisation through the combination of two representative approaches both enjoying declarativity. We consider a functional approach to self-organising systems development, called Aggregate Programming (AP), and propose to exploit collective adaptive behaviour to carry out plan revisions.","PeriodicalId":268224,"journal":{"name":"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121787491","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}
{"title":"Message from the Workshops and Tutorials Chairs","authors":"","doi":"10.1109/acsos-c52956.2021.00007","DOIUrl":"https://doi.org/10.1109/acsos-c52956.2021.00007","url":null,"abstract":"","PeriodicalId":268224,"journal":{"name":"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131703745","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}
Christos Chronopoulos, K. W. Johansen, J. Teizer, C. Schultz, L. Esterle
{"title":"Towards a Holistic, Self-Organised Safety Framework for Construction","authors":"Christos Chronopoulos, K. W. Johansen, J. Teizer, C. Schultz, L. Esterle","doi":"10.1109/ACSOS-C52956.2021.00060","DOIUrl":"https://doi.org/10.1109/ACSOS-C52956.2021.00060","url":null,"abstract":"In this short vision paper we outline a framework incorporating multi-modal sensory information into so-called digital twins in construction sites. Starting from a first-order principle model (i.e., the construction plan), we enrich the digital twin during runtime with additional information such as work plans, identified and mitigated hazard zones, and current location of workers, resources, and mobile equipment. Utilising this information in the digital twin allows executing simulations to predict potentially dangerous situations for workers. Feedback mechanisms allow us to inform workers accordingly but also improve the construction site and the corresponding digital twin during the building process in an autonomous and self-organised fashion.","PeriodicalId":268224,"journal":{"name":"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114467280","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}
Nils Scheidweiler, André Schäfer, W. Amme, Thomas S. Heinze
{"title":"U sing Clone Detection for Finding Signatures of Malware Families: A Case Study on FinSpy","authors":"Nils Scheidweiler, André Schäfer, W. Amme, Thomas S. Heinze","doi":"10.1109/ACSOS-C52956.2021.00063","DOIUrl":"https://doi.org/10.1109/ACSOS-C52956.2021.00063","url":null,"abstract":"Code reuse is a frequent practice in mal ware development and finding code similar to known mal ware can thus be a promising strategy for mal ware detection. In this paper, we analyze the use of the clone detector StoneDetector for finding Android malware. To this end, signatures of known malware are generated and used to look for suspicious code fragments in Android APK packages. Feasibility of the approach is shown for a case study on samples of the FinSpy mal ware family.","PeriodicalId":268224,"journal":{"name":"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117007996","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}
{"title":"The Computational Complexity of Designing Scalar-Field Sensing Robot Teams and Environments for Distributed Construction (Extended Abstract)","authors":"T. Wareham, A. Vardy","doi":"10.1109/ACSOS-C52956.2021.00059","DOIUrl":"https://doi.org/10.1109/ACSOS-C52956.2021.00059","url":null,"abstract":"The automatic design of robot teams and environments for construction tasks is an important research problem. Though most work to date has focused on visual sensing robots, it would be of great interest to know algorithmic options for design relative to robots that sense scalar fields such as chemical gradients. In this paper we give the first computational and parameterized complexity analyses of the problems of designing scalar-field sensing robot teams and environments for construction tasks. Our results suggest that the pattern of tractability and intractability results for scalar-field sensing robots is broadly similar to that for visual sensing robots.","PeriodicalId":268224,"journal":{"name":"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130200666","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}