2015 IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops最新文献_第2页

Advanced Manufacturing: An Industrial Application for Collective Adaptive Systems 先进制造:集体自适应系统的工业应用

2015 IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2015-09-21 DOI: 10.1109/SASOW.2015.15

D. Sanderson, Nikolas Antzoulatos, J. Chaplin, D. Busquets, J. Pitt, C. German, Alan Norbury, E. Kelly, S. Ratchev

引用次数: 18

A Research Overview and Evaluation of Performance Metrics for Self-Organization Algorithms 自组织算法性能指标的研究综述与评价

2015 IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2015-09-21 DOI: 10.1109/SASOW.2015.25

Benedikt Eberhardinger, Gerrit Anders, H. Seebach, Florian Siefert, W. Reif

{"title":"A Research Overview and Evaluation of Performance Metrics for Self-Organization Algorithms","authors":"Benedikt Eberhardinger, Gerrit Anders, H. Seebach, Florian Siefert, W. Reif","doi":"10.1109/SASOW.2015.25","DOIUrl":"https://doi.org/10.1109/SASOW.2015.25","url":null,"abstract":"Self-organization (SO) algorithms are supposed to restructure and reconfigure the system at run-time in order to empower it to fulfill its requirements under uncertain environmental conditions. For this purpose, information about the state of the environment and the system is used in feedback loops to establish a flexible, powerful system. Consequently, the performance of the SO algorithms has a significant effect on the overall performance of the system. Indeed, it is hard to design high-performing SO algorithms, because the environmental conditions the system has to operate in are partially unpredictable at design time. A crucial aid for the development of SO algorithms are tools that enable the evaluation of the algorithms' performance at design time. These tools could also be used to select the best-fitting algorithm and parametrization for a specific application, among others. We show how existing performance metrics can be applied to SO algorithms by evaluating different partition-based algorithms. Based on these results, we discuss the advantages and limitations of the existing metrics and deduce requirements for performance metrics for SO algorithms.","PeriodicalId":384469,"journal":{"name":"2015 IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127392697","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: 14

Toward Predicting Distributed Systems Dynamics 预测分布式系统动力学

2015 IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2015-09-21 DOI: 10.1109/SASOW.2015.16

Amy Kumar, J. Beal, S. Dasgupta, R. Mudumbai

引用次数: 10

All Together Now: Collective Intelligence for Computer-Supported Collective Action 现在一起行动:计算机支持的集体行动的集体智慧

2015 IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2015-09-21 DOI: 10.1109/SASOW.2015.7

G. Valetto, A. Bucchiarone, K. Geihs, M. Büscher, K. Petersen, Andrzej Nowak, Agnieszka Rychwalska, J. Pitt, J. Shalhoub, F. Rossi, Paolo Silingardi, Paola Bernardeschi

引用次数: 7

Quality Trade-offs in Self-Protecting System 自我保护系统中的质量权衡

2015 IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2015-09-21 DOI: 10.1109/SASOW.2015.30

D. Le

引用次数: 1

CINDAM: Customized Information Networks for Deception and Attack Mitigation 用于欺骗和攻击缓解的定制信息网络

2015 IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2015-09-21 DOI: 10.1109/SASOW.2015.23

Seth Robertson, S. Alexander, Josephine Micallef, Jonathan Pucci, James Tanis, A. Macera

引用次数: 17

A Testing Scheme for Self-Adaptive Software Systems with Architectural Runtime Models 具有体系结构运行时模型的自适应软件系统测试方案

2015 IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2015-09-21 DOI: 10.1109/SASOW.2015.27

Joachim Hänsel, T. Vogel, H. Giese

引用次数: 16

An Approach for Collective Adaptation in Socio-Technical Systems 社会技术系统中的集体适应方法

2015 IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2015-09-21 DOI: 10.1109/SASOW.2015.12

A. Bucchiarone, Naranker Dulay, Anna Lavygina, A. Marconi, Heorhi Raik, A. Russo

引用次数: 14

Privacy-by-Norms Privacy Expectations in Online Interactions 在线互动中的隐私期望

2015 IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2015-09-21 DOI: 10.1109/SASOW.2015.5

T. Patkos, G. Flouris, P. Papadakos, Antonis Bikakis, Pompeu Casanovas, Jorge González-Conejero, Rebeca Varela Figueroa, Anthony Hunter, Guðjón Idir, G. Ioannidis, Marta Kacprzyk-Murawska, Andrzej Nowak, J. Pitt, D. Plexousakis, Agnieszka Rychwalska, Alexandru Stan

{"title":"Privacy-by-Norms Privacy Expectations in Online Interactions","authors":"T. Patkos, G. Flouris, P. Papadakos, Antonis Bikakis, Pompeu Casanovas, Jorge González-Conejero, Rebeca Varela Figueroa, Anthony Hunter, Guðjón Idir, G. Ioannidis, Marta Kacprzyk-Murawska, Andrzej Nowak, J. Pitt, D. Plexousakis, Agnieszka Rychwalska, Alexandru Stan","doi":"10.1109/SASOW.2015.5","DOIUrl":"https://doi.org/10.1109/SASOW.2015.5","url":null,"abstract":"In an increasingly instrumented and inter-connected digital world, citizens generate vast amounts of data, much of it personal, and nearly all of it valuable. However, controlling who can collect it, limiting what they can do with it, and determining how best to protect it, remain deeply undecided issues. This position paper proposes a socio-technical solution based on collective awareness and informed consent, whereby data collection and data protection norms are configured by the users themselves, using a collaborative participatory process of argumentation. This refers to the ability of users to understand privacy-related documents and their implications via participatory processes, wisdom-of-the-crowds approaches and visual cues. By strengthening the trust bond between service developers and users, the transformative impact of this solution, called Privacy-by-Norms (Pb Norms), will be to encourage innovation and to ensure that (big) data's (tiny) generators are also its beneficiaries. Pb Norms will aim to complement existing top-down solutions to data protection that rely on technical or legal provisions. The goal is to enable citizens to express their privacy expectations through the use of mature ICT technologies from the fields of Computational Argumentation and the Semantic Web.","PeriodicalId":384469,"journal":{"name":"2015 IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125158451","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: 9

A Keyless Gossip Algorithm Providing Light-Weight Data Privacy for Prosumer Markets 为产销市场提供轻量级数据隐私的无钥匙八卦算法

2015 IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops Pub Date : 2015-09-21 DOI: 10.1109/SASOW.2015.10

Sascha Niro, Jose M. Lopez, D. Westhoff, Andreas H. Christ

{"title":"A Keyless Gossip Algorithm Providing Light-Weight Data Privacy for Prosumer Markets","authors":"Sascha Niro, Jose M. Lopez, D. Westhoff, Andreas H. Christ","doi":"10.1109/SASOW.2015.10","DOIUrl":"https://doi.org/10.1109/SASOW.2015.10","url":null,"abstract":"We propose secure multi-party computation techniques for the distributed computation of the average using a privacy-preserving extension of gossip algorithms. While recently there has been mainly research on the side of gossip algorithms (GA) for data aggregation itself, to the best of our knowledge, the aforementioned research line does not take into consideration the privacy of the entities involved. More concretely, it is our objective to not reveal a node's private input value to any other node in the network, while still computing the average in a fully-decentralized fashion. Not revealing in our setting means that an attacker gains only minor advantage when guessing a node's private input value. We precisely quantify an attacker's advantage when guessing - as a mean for the level of data privacy leakage of a node's contribution. Our results show that by perturbing the input values of each participating node with pseudo-random noise with appropriate statistical properties (i) only a minor and configurable leakage of private information is revealed, by at the same time (ii) providing a good average approximation at each node. Our approach can be applied to a decentralized prosumer market, in which participants act as energy consumers or producers or both, referred to as prosumers.","PeriodicalId":384469,"journal":{"name":"2015 IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127829633","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: 3