2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems最新文献

Quantitative Emergence -- A Refined Approach Based on Divergence Measures 定量涌现——一种基于发散度量的改进方法

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.31

Dominik Fisch, Martin Jänicke, B. Sick, C. Müller-Schloer

{"title":"Quantitative Emergence -- A Refined Approach Based on Divergence Measures","authors":"Dominik Fisch, Martin Jänicke, B. Sick, C. Müller-Schloer","doi":"10.1109/SASO.2010.31","DOIUrl":"https://doi.org/10.1109/SASO.2010.31","url":null,"abstract":"The article addresses the phenomenon of emergence from a technical viewpoint. A technical system exhibits emergence when it has certain kinds of properties or qualities that are irreducible in the sense that they are not traceable to the constituent parts of the system. In particular, we show how emergence in technical systems can be detected and measured gradually using techniques from the field of probability theory and information theory. To detect or measure emergence we observe the system and extract characteristic attributes from those observations. As an extension of earlier work in the field, we propose emergence measures that are well-suited for continuous attributes (or hybrid attribute sets) using either non-parametric or model-based probability density estimation techniques. We also replace the known entropy-based emergence measures by divergence measures for probability densities (e.g., the Kullback-Leibler divergence or the Hellinger distance). We discuss advantages and drawbacks of these measures by means of some simulation experiments using artificial data sets and a real-world data set from the field of intrusion detection.","PeriodicalId":370044,"journal":{"name":"2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems","volume":"98 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115506927","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: 43

A Decentralised Architecture for Multi-objective Autonomic Management 多目标自治管理的分散式架构

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.34

Sylvain Frey, P. Lalanda, A. Diaconescu

引用次数: 3

Experience Report in Developing and Applying a Method for Self-Organisation to Agile Manufacturing 敏捷制造中自组织方法的开发与应用经验报告

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.24

G. Serugendo, R. Frei

引用次数: 6

Runtime Behavior Monitoring and Self-Adaptation in Service-Oriented Systems 面向服务系统中的运行时行为监控和自适应

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.44

Harald Psaier, Lukasz Juszczyk, Florian Skopik, D. Schall, S. Dustdar

{"title":"Runtime Behavior Monitoring and Self-Adaptation in Service-Oriented Systems","authors":"Harald Psaier, Lukasz Juszczyk, Florian Skopik, D. Schall, S. Dustdar","doi":"10.1109/SASO.2010.44","DOIUrl":"https://doi.org/10.1109/SASO.2010.44","url":null,"abstract":"Mixed service-oriented systems composed of human actors and software services build up complex interaction networks. Without any coordination, such systems may exhibit undesirable properties due to unexpected behavior. Also, communications and interactions in such networks are not preplanned by top-down composition models. Consequently, the management of service-oriented applications is difficult due to changing interaction and behavior patterns that possibly contradict and result in faults from varying conditions and misbehavior in the network. In this paper we present a self-adaptation approach that regulates local interactions to maintain desired system functionality. To prevent degraded or stalled systems, adaptations operate by link modification or substitution of actors based on similarity and trust metrics. Unlike a security perspective on trust, we focus on the notion of socially inspired trust. We design an architecture based on two separate independent frameworks. One providing a real Web service test bed extensible for dynamic adaptation actions. The other is our self-adaptation framework including all modules required by systems with self-* properties. In our experiments we study a trust and similarity based adaptation approach by simulating dynamic interactions in the real Web services test bed.","PeriodicalId":370044,"journal":{"name":"2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121719391","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: 41

Self-Adaptive Resource Allocation in Open Distributed Systems 开放分布式系统中的自适应资源分配

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.40

Xinghui Zhao, Nadeem Jamali

引用次数: 1

Toward Physically-Adaptive Computing 走向物理自适应计算

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.13

K. Zick, J. Hayes

{"title":"Toward Physically-Adaptive Computing","authors":"K. Zick, J. Hayes","doi":"10.1109/SASO.2010.13","DOIUrl":"https://doi.org/10.1109/SASO.2010.13","url":null,"abstract":"As semiconductor technology approaches the atomic scale, electronic systems are increasingly burdened by physical variations and uncertainty. Traditionally-designed systems lack an ability to adapt to these fine-grained effects and are thus becoming more inefficient, error-prone, and subject to early wear out. This paper describes the paradigm of physically-adaptive computing (PAC), in which systems learn physical parameters and adapt with fine granularity in the field. We outline an architecture for an adaptation agent and investigate two key aspects of the adaptive process: self-characterization and physical self-optimization. A case study is presented involving random variations in latch reliability. We conducted experiments on a model of a PAC system with physical data obtained from actual field-programmable gate array (FPGA) hardware. Our results show that across 15 benchmark circuits the mean time between failures improved by an average of 30% via low-cost self-adaptation and by 45% assuming assistance from a remote server. Physical self-adaptation and assisted adaptation will both play an important role in achieving computational systems with atomic-scale features.","PeriodicalId":370044,"journal":{"name":"2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127189894","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

Distributed Control for Small Customer Energy Demand Management 小客户能源需求管理的分布式控制

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.21

V. V. Ranade, J. Beal

{"title":"Distributed Control for Small Customer Energy Demand Management","authors":"V. V. Ranade, J. Beal","doi":"10.1109/SASO.2010.21","DOIUrl":"https://doi.org/10.1109/SASO.2010.21","url":null,"abstract":"We present the Colored Power algorithm, which is designed to provide collaborative electricity demand shaping for residential and small-business customers. Demand shaping for this market sector is an important and challenging problem, since the vast number of such customers collectively account for a large fraction of total electricity consumption, yet each individual's consumption is small. Under the PACEM system, customers participate by \"coloring\" their appliances with a qualitative priority such as \"can be shut off at peak power.\" Demand shaping for this system must be scalable to millions of appliances, operate quickly and fairly across customers, and act on any given appliance infrequently. This last constraint is particularly challenging: if an appliance that switches on or off must not be switched again for many minutes, then at any instant, a large fraction of appliances may not be controllable. The Colored Power algorithm addresses these challenges using randomized local actions. When the action distribution is adjusted to compensate for currently uncontrollable appliances, standard feedback controllers can be used to produce local actions that combine to create the desired global effect. Experiments in simulation verify that the algorithm provides fair control that is fast, scalable, and robust enough to be realistically deployable.","PeriodicalId":370044,"journal":{"name":"2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133115238","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: 31

Distributed Generalized Graph Coloring 分布广义图着色

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.10

Juha-Matti Koljonen, M. Alava, M. Peltomäki, O. Tirkkonen

引用次数: 13

Global Vs Local: A Comparison of Two Approaches to Perform Diagnosis in Networks of Mechatronic Agents 全局与局部:机电代理网络中两种诊断方法的比较

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.36

L. Ribeiro, J. Barata, Bruno Alves, J. Ferreira

引用次数: 2

A Software Engineering Guideline for Self-Organizing Resource-Flow Systems 自组织资源流系统的软件工程指南

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.26

H. Seebach, Florian Nafz, Jan-Philipp Steghöfer, W. Reif

引用次数: 17