2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems最新文献

Superdiffusive Dispersion and Mixing of Swarms with Reactive Levy Walks 具有反应性列维行走的超扩散分散和群体混合

2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2013-09-09 DOI: 10.1109/SASO.2013.9

J. Beal

引用次数: 13

A Search-Based Approach for Architectural Design of Feedback Control Concerns in Self-Adaptive Systems 一种基于搜索的自适应系统反馈控制体系结构设计方法

2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2013-09-09 DOI: 10.1109/SASO.2013.42

S. Andrade, R. Macêdo

{"title":"A Search-Based Approach for Architectural Design of Feedback Control Concerns in Self-Adaptive Systems","authors":"S. Andrade, R. Macêdo","doi":"10.1109/SASO.2013.42","DOIUrl":"https://doi.org/10.1109/SASO.2013.42","url":null,"abstract":"A number of approaches for endowing systems with self-adaptive behavior have been proposed over the past years. Among such efforts, architecture-centric solutions with explicit representation of feedback loops have currently been advocated as a promising research landscape. Although noteworthy results have been achieved on some fronts, the lack of systematic representations of architectural knowledge and effective support for well-informed trade-off decisions still poses significant challenges when designing modern self-adaptive systems. In this paper, we present a systematic and flexible representation of design dimensions related to feedback control concerns, a set of metrics which estimate quality attributes of resulting automated designs, and a search-based approach to find out a set of Pareto-optimal candidate architectures. The proposed approach has been fully implemented in a supporting tool and a case study with a self-adaptive cloud computing environment has been undertaken. The results indicate that our approach effectively captures the most prominent degrees of freedom when designing self-adaptive systems, helps to elicit effective subtle designs, and provides useful support for early analysis of trade-off decisions.","PeriodicalId":441278,"journal":{"name":"2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116808121","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: 18

Meta-control for Adaptive Cybersecurity in FUZZBUSTER 自适应网络安全的元控制

2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2013-09-09 DOI: 10.1109/SASO.2013.29

D. Musliner, Scott E Friedman, J. Rye, Tom Marble

引用次数: 6

Lightweight Self-organizing Reconfiguration of Opportunistic Infrastructure-mode WiFi Networks 机会型基础设施模式WiFi网络的轻量级自组织重构

2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2013-09-09 DOI: 10.1109/SASO.2013.41

Daniel J. Dubois, Yosuke Bando, Konosuke Watanabe, Henry Holtzman

{"title":"Lightweight Self-organizing Reconfiguration of Opportunistic Infrastructure-mode WiFi Networks","authors":"Daniel J. Dubois, Yosuke Bando, Konosuke Watanabe, Henry Holtzman","doi":"10.1109/SASO.2013.41","DOIUrl":"https://doi.org/10.1109/SASO.2013.41","url":null,"abstract":"The purpose of this work is to provide a method for exploiting pervasive wireless communication capabilities that are often underutilized on smart devices (e.g., phones, tables, cameras, TVs, etc.) in an opportunistic and collaborative way. This goal can be accomplished by sharing device resources using their built-in WiFi adapter. In this paper we explain why the standard ad-hoc mode for building mobile peer-to-peer networks is not always the best choice and we propose an alternative self-organizing approach in which an opportunistic infrastructure-mode WiFi network is built. The particularity of this network is that each device can either be an access point or a client and change its role and wireless channel over time. This contribution advances the state of the art by using a context-aware approach that considers actual frequency allocation to other devices and monitored traffic. We finally show that our approach increases the average speed for delivering messages to a level that in several situations outperforms previous work in the area, as well as a simple single-channel ad-hoc WiFi network.","PeriodicalId":441278,"journal":{"name":"2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132617557","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: 23

Configuration Management for Proactive Adaptation in Pervasive Environments 普适环境中主动适应的配置管理

2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2013-09-09 DOI: 10.1109/SASO.2013.28

S. VanSyckel, Dominik Schäfer, Gregor Schiele, C. Becker

引用次数: 21

Self-Adapting Coalition Formation Among Electric Vehicles in Smart Grids 智能电网中电动汽车自适应联盟的形成

2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2013-09-09 DOI: 10.1109/SASO.2013.12

G. Ramos, J. C. Burguillo, A. Bazzan

{"title":"Self-Adapting Coalition Formation Among Electric Vehicles in Smart Grids","authors":"G. Ramos, J. C. Burguillo, A. Bazzan","doi":"10.1109/SASO.2013.12","DOIUrl":"https://doi.org/10.1109/SASO.2013.12","url":null,"abstract":"In the last years, the need for using multiple energy sources made the concept of smart grids emerge. A smart grid is a fully automated electricity network, which monitors and controls all its elements being able to supply energy in an efficient and reliable way. Within this context, the use of electric vehicles (EVs) and Vehicle-To-Grid (V2G) technologies have been advocated as an efficient way to reduce the intermittent supply associated with renewable energy sources. However, operating on V2G sessions in a cost effective way is not a trivial task for EVs. To address this problem, the formation of coalitions among EVs has been proposed as a mean to improve profitability on V2G sessions. Addressing these scenarios, in this paper we introduce the Self-Adapting Coalition Formation (SACF) method, which is a local and dynamic heuristic-based mechanism for coalition structure generation. In our approach, coalitions are formed observing constraints imposed by the grid to the EVs, which negotiate locally the formation of feasible coalitions among themselves. Based on experiments, we see that SACF is an efficient method, providing good solutions in a simple and low-cost way. SACF is faster than centralized methods and provides solutions with near optimal quality. In dynamic scenarios, SACF also shows very good results, being able to keep the agents gain relatively stable along time, even in quickly changing environments. Its main advantage is that the computational effort is very low, while classical centralized methods are limited to manage no more than a dozen agents in a reasonable amount of time.","PeriodicalId":441278,"journal":{"name":"2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125819403","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: 22

A Holonic Control Architecture for a Heterogeneous Multi-Objective Smart Micro-Grid 异构多目标智能微电网的全息控制体系

2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2013-09-09 DOI: 10.1109/SASO.2013.11

Sylvain Frey, A. Diaconescu, D. Menga, I. Demeure

引用次数: 38

Modeling and Analyzing Large Swarms with Covert Leaders 具有隐蔽领导者的大型群体建模和分析

2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2013-09-09 DOI: 10.1109/SASO.2013.32

Yu Sun, L. Rossi, H. Luan, Chien-Chung Shen

引用次数: 3

Self-managing Overlays for Infrastructure-less Networks 无基础设施网络的自管理覆盖层

2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2013-09-09 DOI: 10.1109/SASO.2013.25

L. Baresi, Sam Guinea, P. Saeedi

引用次数: 4

Distributed Sequential Task Allocation in Foraging Swarms 觅食群的分布式顺序任务分配

2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2013-09-09 DOI: 10.1109/SASO.2013.14

Harry Goldingay, J. Mourik

引用次数: 3