2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems最新文献_第2页

Spectrum-Based Health Monitoring for Self-Adaptive Systems 自适应系统基于频谱的健康监测

2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2011-10-03 DOI: 10.1109/SASO.2011.21

Éric Piel, Alberto González-Sanchez, H. Groß, A. V. Gemund

引用次数: 20

A Self-Organized Load-Balancing Algorithm for Overlay-Based Decentralized Service Networks 基于覆盖的分散服务网络的自组织负载均衡算法

2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2011-10-03 DOI: 10.1109/SASO.2011.28

G. Valetto, Paul L. Snyder, Daniel J. Dubois, E. D. Nitto, N. M. Calcavecchia

{"title":"A Self-Organized Load-Balancing Algorithm for Overlay-Based Decentralized Service Networks","authors":"G. Valetto, Paul L. Snyder, Daniel J. Dubois, E. D. Nitto, N. M. Calcavecchia","doi":"10.1109/SASO.2011.28","DOIUrl":"https://doi.org/10.1109/SASO.2011.28","url":null,"abstract":"A service network with decentralized ownership is a system where nodes offering a variety of services are administered by different organizations -- or even by a set of individuals. In such a context, nodes hosting services can dynamically enter and exit the system without prior notice, and there is no centralized point of control. If one wants to build into such a system the ability to direct incoming requests for the various hosted services to those nodes that can efficiently fulfill them, one option is to introduce in the system an entity that serves as a gateway to accept service requests, and is an intermediary to re-direct requests as needed. That implies that this intermediary is able to acquire and maintain accurate and up-to-date information on where it can direct incoming requests. Another option, which is the one we pursue in this paper, is to build the system as an overlay network, in which the nodes hosting instances of each of many different types of services can self-organize as \"virtual clusters\", and efficiently load-balance incoming requests amongst themselves. We describe our design and evaluation of a decentralized computing framework of this kind. We leverage a resilient peer-to-peer overlay that automatically re-configures its topology, responding to the number of different service types executing on the peer nodes, the dynamics of the participation of those nodes (peer churn), and the traffic coming into the system for the various services.","PeriodicalId":165565,"journal":{"name":"2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131758509","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: 24

Dependable Risk-Aware Efficiency Improvement for Self-Organizing Emergent Systems 自组织紧急系统的可靠风险感知效率改进

2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2011-10-03 DOI: 10.1109/SASO.2011.12

Jonathan J. Hudson, J. Denzinger, Holger Kasinger, B. Bauer

引用次数: 7

Bio-Inspired Enterprise Security 仿生企业安全

2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2011-10-03 DOI: 10.1109/SASO.2011.33

Glenn A. Fink, C. Oehmen, J. Haack, A. McKinnon, E. Fulp, Michael B. Crouse

引用次数: 1

Towards Aware, Adaptive and Autonomic Sensor-Actuator Networks 面向感知、自适应和自主传感器-执行器网络

2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2011-10-03 DOI: 10.1109/SASO.2011.43

M. ElGammal, M. Eltoweissy

{"title":"Towards Aware, Adaptive and Autonomic Sensor-Actuator Networks","authors":"M. ElGammal, M. Eltoweissy","doi":"10.1109/SASO.2011.43","DOIUrl":"https://doi.org/10.1109/SASO.2011.43","url":null,"abstract":"We propose A3SAN, a framework for context-aware, resource-aware, autonomic, and adaptive management of Sensor-Actuator Networks (SANSs). We introduce new techniques for autonomic network configuration and management in reaction to context and resource dynamics. We propose a novel approach for quantitative context representation and management based on Potential Fields that allows us to quantify interesting events spatiotemporally, and simplifies the fusionand grouping of concurrent contexts. Adaptability is achieved by associating each node in the network with a dynamic Node Affinity Profile, which determines its suitability to serve each event type. Different configuration and management tasks such as clustering, task allocation, and role assignment are carried out using a distributed variant of the Affinity Propagation algorithm. A Fuzzy Logic based decision-making engine provides effective context analysis and conflict resolution between competing tasks, enabling swift adaptation to context and resource dynamics. Using simulation, we evaluate the efficacy of these techniques, and their ability to achieve our goal of efficient and autonomous management of SANs.","PeriodicalId":165565,"journal":{"name":"2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127809131","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: 6

Using an Automated Planner to Control an Organic Middleware 使用自动化计划器控制有机中间件

2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2011-10-03 DOI: 10.1109/SASO.2011.18

J. Schmitt, Michael Roth, Rolf Kiefhaber, Florian Kluge, T. Ungerer

引用次数: 8

Layers of Languages for Self-Modeling Systems 自建模系统的语言层

2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2011-10-03 DOI: 10.1109/SASO.2011.37

C. Landauer

{"title":"Layers of Languages for Self-Modeling Systems","authors":"C. Landauer","doi":"10.1109/SASO.2011.37","DOIUrl":"https://doi.org/10.1109/SASO.2011.37","url":null,"abstract":"Self-Modeling Systems are computing systems that have complete models of their own behavior, down to some level of detail, and that interpret those models to produce that behavior (in some applications, the interpreter itself is also modeled). Then when the system changes the models, it changes its own behavior. We have shown how our Wrappings integration infrastructure facilitates the construction, operation, and management of these systems, and the appropriate limitation of their variability. In this paper, we argue that the internal reflective processes are well-suited to representation by different languages, and that as more languages are used, each one can be simpler in definition and in its relationships to semiotically neighboring ones. Furthermore, the seeming proliferation of internal languages can be organized to have very little performance impact, since constant mappings can be made directly through partial evaluation. In computing terms, we are showing the useful separation into granularity and abstraction layers of the different kinds of activity descriptions needed in the models. We illustrate the methods and approach on CARS (Computational Architecture for Reflective Systems), a testbed for studying cooperating distributed embedded systems.","PeriodicalId":165565,"journal":{"name":"2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131421069","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: 1

Adaptive Scheduling and Overhead Tuning for Deadline Constrained Computations 期限约束计算的自适应调度和开销调优

2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2011-10-03 DOI: 10.1109/SASO.2011.32

Xinghui Zhao, Nadeem Jamali

引用次数: 0

NetDetect: Neighborhood Discovery in Wireless Networks Using Adaptive Beacons NetDetect:无线网络中使用自适应信标的邻居发现

2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2011-10-03 DOI: 10.1109/SASO.2011.14

V. Iyer, Andrei Pruteanu, S. Dulman

{"title":"NetDetect: Neighborhood Discovery in Wireless Networks Using Adaptive Beacons","authors":"V. Iyer, Andrei Pruteanu, S. Dulman","doi":"10.1109/SASO.2011.14","DOIUrl":"https://doi.org/10.1109/SASO.2011.14","url":null,"abstract":"It is generally foreseen that the number of wirelessly connected networking devices will increase in the next decades, leading to a rise in the number of applications involving large-scale networks. A major building block for enabling self-* system properties in ad-hoc scenarios is the run-time discovery of neighboring devices and somewhat equivalently, the estimation of the local node density. This problem has been studied extensively before, mainly in the context of fully-connected, synchronized networks. In this paper, we propose a novel adaptive and decentralized solution, the NetDetect algorithm, to the problem of discovering neighbors in a dynamic wireless network. The main difference with existing state of the art is that we target dynamic scenarios, i.e., multihop mesh networks involving mobile devices. The algorithm exploits the beaconing communication mechanism, dynamically adapting the beacon rate of the devices in the network based on local estimates of neighbor densities. We evaluate NetDetect on a variety of networks with increasing levels of dynamics: fully-connected networks, static and mobile multi-hop mesh networks. Results show that NetDetect performs well in all considered scenarios, maintaining a high rate of neighbor discoveries and good estimate of the neighborhood density even in very dynamic situations. More importantly, the proposed solution is adaptive, tracking changes in the local environment of the nodes without any additional algorithmic reconfiguration. Comparison with existing approaches shows that the proposed scheme is efficient from both convergence time and energy perspectives.","PeriodicalId":165565,"journal":{"name":"2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114570335","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

Modeling and Application of Self-Organizing Systems 自组织系统的建模与应用

2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2011-10-03 DOI: 10.1109/SASO.2011.38

R. Holzer, H. Meer

{"title":"Modeling and Application of Self-Organizing Systems","authors":"R. Holzer, H. Meer","doi":"10.1109/SASO.2011.38","DOIUrl":"https://doi.org/10.1109/SASO.2011.38","url":null,"abstract":"This tutorial gives an overview about mathematical modeling methods for complex and self-organizing systems. Modeling can be used for the analysis and optimization of existing systems and for the design and engineering of new systems. In this tutorial we classify modeling methods into macro-level modeling and micro-level modeling. By using a micro-level model, the behaviors of all entities of the system and the interactions between these entities have to be specified. The state space of such a model is the Cartesian product of the state spaces of each entity. For a macro level, many micro-level states are aggregated into a single macro-level state. The macro level model describes only the behavior of the variables of interest. Another classification for modeling methods is the time space: The advance of time can either be modeled discrete or continuous. This tutorial contains short introductions to some modeling methods (e.g. Markov chains, cellular automata, recurrence equations, differential equations) and a discussion about their possibilities for analysis, optimization, design and engineering of self-organizing systems. The applicability of the modeling methods are demonstrated in some use cases.","PeriodicalId":165565,"journal":{"name":"2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130010215","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