Bramer Artificial Intelligence in Theory and Practice

IFIP 19th World Computer Congress, TC 12: IFIP AI 2006 Stream, August 21-24, 2006, Santiago, Chile
1. Auflage 2006
ISBN: 978-0-387-34747-9
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 217, 513 Seiten, eBook

Reihe: IFIP International Federation for Information Processing

The papers in this volume comprise the refereed proceedings of the conference 'Artificial Intelligence in Theory and Practice' (IFIP AI 2006), which formed part of the 19th World Computer Congress of IFIP, the International Federation for Information Processing (WCC- 2006), in Santiago, Chile in August 2006. The conference is organised by the IFIP Technical Committee on Artificial Intelligence (Technical Committee 12) and its Working Group 12.5 (Artificial Intelligence Applications). All papers were reviewed by at least two members of our Programme Committee. The best papers were selected for the conference and are included in this volume. The international nature of IFIP is amply reflected in the large number of countries represented here. The conference featured invited talks by Rose Dieng, John Atkinson, John Debenham and myself. IFIP AI 2006 also included the Second IFIP Symposium on Professional Practice in Artificial Intelligence, organised by Professor John Debenham, which ran alongside the refereed papers. I should like to thank the conference chair. Professor Debenham for all his efforts in organising the Symposium and the members of our programme committee for reviewing an unexpectedly large number of papers to a very tight deadline. This is the latest in a series of conferences organised by IFIP Technical Committee 12 dedicated to the techniques of Artificial Intelligence and their real-world applications. The wide range and importance of these applications is clearly indicated by the papers in this volume. Further information about TCI 2 can be found on our website http://www.ifiptcl2.org.

Zielgruppe

Research

Autoren/Hrsg.

Bramer, Max

Inhaltsverzeichnis

Knowledge and Information Management.- Can Common Sense uncover cultural differences in computer applications?.- Artificial Intelligence and Knowledge Management.- Agents 1.- The IONWI Algorithm: Learning when and when not to interrupt.- Formal Analysis of the Communication of Probabilistic Knowledge.- Detecting and Repairing Anomalous Evolutions in Noisy Environments: Logic Programming Formalization and Complexity Results.- Adding Semantic Web Services Matching and Discovery Support to the MoviLog Platform.- Learning Browsing Patterns for Context-Aware Recommendation.- Applying Collaborative Filtering to Reputation Domain: a model for more precise reputation estimates in case of changing behavior by rated participants.- Integration of AI with other Technologies.- Combine Vector Quantization and Support Vector Machine for Imbalanced Datasets.- Ontology Support for Translating Negotiation Primitives.- Statistical Method of Context Evaluation for Biological Sequence Similarity.- Biological inspired algorithm for Storage Area Networks (ACOSAN).- Neural Nets.- Radial Basis Functions Versus Geostatistics in Spatial Interpolations.- Neural Networks applied to wireless communications.- Anomaly Detection using prior knowledge: application to TCP/IP traffic.- A study on the ability of Support Vector Regression and Neural Networks to Forecast Basic Time Series Patterns.- Neural Plasma.- Knowledge Acquisition and Data Mining.- Comparison of SVM and Some Older Classification Algorithms in Text Classification Tasks.- An automatic graph layout procedure to visualize correlated data.- Knowledge Perspectives in Data Grids.- On the Class Distribution Labelling Step Sensitivity of CO-TRAINING.- Two new feature selection algorithms with Rough Sets Theory.- Evolutionary Computation.- Global Convexity in the Bi-Criteria Traveling Salesman Problem.- Evolutionary Algorithm for State Encoding.- Hypercube FrameWork for ACO applied to timetabling.- Multitree-Multiobjective Multicast Routing for Traffic Engineering.- Speech and Natural Language.- Road Segment Identification in Natural Language Text.- Learning Discourse-new References in Portuguese Texts.- Analysing Definition Questions by Two Machine Learning Approaches.- Fuzzy Rule-Based Hand Gesture Recognition.- Comparison of distance measures for historical spelling variants.- Industrial Applications of AI.- Patterns in Temporal Series of Meteorological Variables Using SOM & TDIDT.- Applying Genetic Algorithms to Convoy Scheduling.- A GRASP algorithm to solve the problem of dependent tasks scheduling in different machines.- A support vector machine as an estimator of mountain papaya ripeness using resonant frequency or frequency centroid.- FieldPlan: Tactical Field Force Planning in BT.- An Agent Solution to Flexible Planning and Scheduling of Passenger Trips.- Machine Vision.- Facial expression recognition using shape and texture information.- Limited Receptive Area neural classifier for texture recognition of metal surfaces.- A Tracking Framework for Accurate Face Localization.- A Combination of Spatiotemporal ICA and Euclidean Features for Face Recognition.- Agents 2.- Three Technologies for Automated Trading.- Modeling Travel Assistant Agents: a graded BDI approach.- e-Tools: An agent coordination layer to support the mobility of persons with disabilities..- Expert Systems.- Conceptualization Maturity Metrics for Expert Systems.- Toward developing a tele-diagnosis system on fish disease.- A new method for fish-disease diagnostic problem solving based on parsimonious covering theory and fuzzy inference model.- Effective Prover for Minimal Inconsistency Logic.- Identification of Important News for Exchange Rate Modeling.- Planning and Scheduling.- Autonomous Search and Rescue Rotorcraft Mission Stochastic Planning with Generic DBNs.- Solving multi-objective scheduling problems—An integrated systems approach.

Leseproben

Biological inspired algorithm for Storage Area Networks (ACOSAN) (p. 109-110)

Anabel Fraga Vazquez'
1 Universidad Carlos III de Madrid
Av. Universidad, 30, Leganes, Madrid, SPAIN [e-mail]

Abstract. The routing algorithms like Storage Area Networks (SAN) algorithms are actually deterministic algorithms, but they may become heuristics or probabilistic just because of applying biological inspired algorithms like Ant Colony Optimization (ACO) of Dorigo. A variant suggested by Navarro and Sinclair in the University of Essex in UK, it is called MACO and it may open new paths for adapting routing algorithms to changes in the environment of any network. A new algorithm is anticipated in this paper to be applied in routing algorithms for SAN Fibre Channel switches, it is called ACOSAN.

1 INTRODUCTION

This paper helps to create new paths for betters routing algorithms based in biological inspired algorithms like ACO (Ant Colony Optimization) of Dorigo [5,18,19]. The base of the paper is to apply these kind of algorithms and variants of that in Fibre Channel's switches (FC), for package routing in an adaptive way. In particular the Multiple Ant Colony Optimization of Navarro and Sinclair and ANTNET of Dorigo are very useful in that matter [11,13,18].

The reminder of this section establishes the history and introduction to the SAN networks, and benefits of this technology. Section 2 explains some key concepts and problems of Fibre Channel networks. Section 3 surveys some related previous work applying ACO to networking problems. Sections 4 describe basis for the algorithms proposed and the algorithm itself. And the final sections cover acknowledgments, future work and conclusions.

1.1. History and definitions

The increasing need year by year to connect disks to computers by SCSI connectors, which is a standard in the eighties in parallel connections, but not so fast as expected because of the problem that parallel connection have in front of serial connections.

Day by day new faster connections are needed and technology does not stop and must not. The Fibre Channel technology is a prove of advance, it starts in the nineties and it has an appreciated speed which is over Gigabits, serial connection, and allows large distances over 10 kilometers.

The external storage is a new discovers, disks not connected anymore point-topoint to servers. Large storage arrays of disks now are the centre of the external storage, it may content five disks or even thousands of disks depending on the size of the company and the data to be storage, terabytes of information are connected by Fibre Channel to servers.

Brocade, an enterprise recognized in the area of Fibre Channel' s switches, is at the moment one of the factories for Fabric topologies in Storage Area Networks (SAN). This company defines SAN as a network for storage and system components, which are all communicated in a Fibre Channel net, used to consolidate and share information, offering high performance links, high availability links, higher speed backups, and support for clustering servers.

1.2. Providers

The main providers of SAN and Fibre Channel spares are placed in Table I. McData is the growing company in the area, followed by Brocade. McData works with IBM and Brocade works with Hewlett Packard (HP). These alliances are strategic for both companies in order to provide a whole package for the customers.