2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems最新文献_第3页

Self Organization in Coordination Systems Using a WordNet-Based Ontology 基于wordnet本体的协调系统自组织

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.35

Danilo Pianini, Sascia Virruso, R. Menezes, Andrea Omicini, Mirko Viroli

{"title":"Self Organization in Coordination Systems Using a WordNet-Based Ontology","authors":"Danilo Pianini, Sascia Virruso, R. Menezes, Andrea Omicini, Mirko Viroli","doi":"10.1109/SASO.2010.35","DOIUrl":"https://doi.org/10.1109/SASO.2010.35","url":null,"abstract":"In today’s data-intensive world, the need for data organization has increased dramatically. Distributed systems are dealing with unheard amounts of data arising primarily from the popularization of pervasive computing applications and the so-called “data-in-the-cloud” paradigm. Naturally, agent-coordination systems are affected by this data-increase phenomenon as they are often used as the basis for pervasive-computing frameworks and cloud-computing systems. There have been a few works on coordination system to include data self-organization (e.g. Swarm Linda) however they generally organize their data based on naive approaches where items are either completely similar or dissimilar (1|0 approach for matching of data). Although this approach is useful, in general-purpose systems where the diversity of data items is large, data items will rarely be considered as plainly similar, leading to a situation where data does not self-organize well. In this paper we move towards a general-purpose approach to organization based on an ontology-defined concept relationship in WordNet. In our approach, data items are seen as concepts that have relation to other concepts: tuples are driven towards one-another at rates that are proportional to the strength of tuple relationship. We demonstrate that this approach leads to a good mechanism to self-organize data in data-intensive environments.","PeriodicalId":370044,"journal":{"name":"2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems","volume":"36 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":"125658124","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: 10

Agent-Based Approach for Network Allocation Problems 基于代理的网络分配问题研究

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.12

A. Nongaillard, P. Mathieu

{"title":"Agent-Based Approach for Network Allocation Problems","authors":"A. Nongaillard, P. Mathieu","doi":"10.1109/SASO.2010.12","DOIUrl":"https://doi.org/10.1109/SASO.2010.12","url":null,"abstract":"Numerous applications can be formulated as a resource allocation problem, which require a distributed solving method especially when dynamic environments are considered. According to such methods, a solution does not only consist in an optimal allocation, but needs a sequence of transactions leading from a given initial allocation to an optimal one. Up to now, studies have been based on ideal contexts. Indeed, agents are omniscient and/or have complete communication abilities. Most of the time, these assumptions are not plausible. We propose in this paper a multi-agent system in which agents elaborate themselves optimal allocations by means of local negotiations. This self-organized system is based on a more realistic context, where provided solutions can be viewed as emergent phenomena. Agents have a limited perception of their environment and restricted communication abilities. We show that the individual rationality, does not allow the achievement of socially optimal allocations, and we propose a more suitable criterion: the sociability. Our method provides a sequence of transactions leading to an optimal allocation, according to any communication networks.","PeriodicalId":370044,"journal":{"name":"2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems","volume":"6 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":"125261651","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: 0

Applying Swarm Intelligence Algorithms for Dynamic Load Balancing to a Cloud Based Call Center 群智能算法在云呼叫中心动态负载均衡中的应用

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.19

Vesna Šešum-Čavić, E. Kühn

引用次数: 21

Ontology-Based Security Adaptation at Run-Time 运行时基于本体的安全适应

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.11

Antti Evesti, E. Ovaska

引用次数: 27

A Self-Tuning Protocol for Optimal Bandwidth Allocation in Wireless Networks 无线网络中最优带宽分配的自调优协议

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.22

A. Faragó, Dung T. Tran

引用次数: 0

Swarming Pattern Analysis to Identify IED Threat 群聚模式分析识别简易爆炸装置威胁

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.39

Sven A. Brueckner, Steve Brophy, Elizabeth Downs

引用次数: 4

A Decentralized Approach for Detecting Dynamically Changing Diffuse Event Sources in Noisy WSN Environments 噪声无线传感器网络环境中动态变化的分散事件源检测方法

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1080/08839514.2012.653659

J. Fernandez-Marquez, J. Arcos, G. Serugendo

引用次数: 10

Decentralized Real-Time Control of Water Distribution Networks Using Self-Organizing Multi-agent Systems 基于自组织多智能体系统的配水网络分散实时控制

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.20

Florian Dötsch, J. Denzinger, Holger Kasinger, B. Bauer

引用次数: 17

Evolvability in Evolutionary Robotics: Evolving the Genotype-Phenotype Mapping 进化机器人的可进化性:基因型-表型图谱的进化

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.27

L. König, H. Schmeck

引用次数: 0

Self-Organized Routing for Unstructured Peer-to-Peer Networks 非结构化点对点网络的自组织路由

2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Pub Date : 2010-09-27 DOI: 10.1109/SASO.2010.29

Frederic Armetta, Mohammed Haddad, S. Hassas, H. Kheddouci

{"title":"Self-Organized Routing for Unstructured Peer-to-Peer Networks","authors":"Frederic Armetta, Mohammed Haddad, S. Hassas, H. Kheddouci","doi":"10.1109/SASO.2010.29","DOIUrl":"https://doi.org/10.1109/SASO.2010.29","url":null,"abstract":"Overlay topologies are often used in unstructured peer-to-peer networks in order to improve the global performance. Various research works dealing with communication issues of dynamic networks gave much interest to overlay topologies to get a better network organization. In fact, the use of such structures aim to decrease the impact of network dynamics while improving its scalability. Moreover, overlays offer a better management of data flows over the network. Recently, some overlays offering scale-free and/or small-world properties have been proposed. However, most of these works focus on structural aspects and do not give much importance the data carried by peers. In this paper, we show the complementarity of self-organization in overlay topologies and self-organizing search algorithms. We improve an existing approach of scale-free overlay topology by introducing mechanisms to take into account the utility of the information on peers and by a novel ant inspired approach based on foraging. We show how the combination of structural and semantic topological aspects with an ant inspired search algorithm is well adapted especially for rare information in the peer-to-peer network.","PeriodicalId":370044,"journal":{"name":"2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems","volume":"64 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":"123543761","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