
The Third International Conference on Advanced Engineering Computing and Applications in Sciences
ADVCOMP 2009
October 1116, 2009  Sliema, Malta 
Technical CoSponsors and Logistics Supporters 




Archive: 2008 2007 


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Special Tutorial: Tools and Services for Data Intensive Research
by Roger S. Barga, PhD, Microsoft Research
Note: Roger will provide the attendees with both software and supporting documentation of Microsoft Dryad on a USB drive that we will hand
Submission (full paper) 
May 20, 2009 June 5 , 2009 
Notification 
June 30, 2009 July 1, 2009 
Registration 
July 15, 2009 
Camera ready 
July 20, 2009 

Authors of selected papers will be invited to submit extended versions to a IARIA Journal
Publisher: IEEE Computer Society Conference Publishing Services
Posted: IEEE Digital Library
Indexing process

All tracks/topics are open to both research and industry contributions.
Tracks:
Advances on computing theories
Finitestate machines;
Petri nets /stochastic/colored/probabilistic/etc;
Genetic algorithms;
Machine learning theory;
Prediction theory;
Bayesian theory /statistics/filtering/estimation/reasoning/rating/etc;
Markov chains/process/model/etc;
Graphs theories
Advances in computation methods
Hybrid computational methods;
Advanced numerical algorithms;
Differential calculus;
Matrix perturbation theory;
Rare matrices;
Fractals & superfractal algorithms;
Random graph dynamics;
Multidimensional harmonic estimation
Computational logics
Knowledgebased systems and automated reasoning;
Logical issues in knowledge representation /nonmonotonic reasoning/belief;
Specification and verification of programs and systems;
Applications of logic in hardware and VLSI;
Natural language, concurrent computation, planning;
Deduction and reasoning;
Logic of computation;
DempsterShafer theory;
Fuzzy theory/computation/logic/etc
Advances on computing mechanisms
Clustering large and high dimensional data;
Data fusion and aggregation;
Biological sequence analysis;
Biomecatronics mechanisms;
Biologically inspired mechanisms;
System theory and control mechanisms;
Multiobjective evolutionary algorithms;
Constraintbased algorithms;
Ontologybased reasoning;
Topology and structure patterns;
Geometrical pattern similarity;
Strong and weak symmetry;
Distortion in coordination mechanisms
Computing techniques
Distributed computing;
Parallel computing;
Grid computing;
Autonomic computing;
Cloud computing;
Development of numerical and scientific softwarebased systems;
Patternbased computing;
Finiteelement method computation;
Elastic models;
Optimization techniques;
Simulation techniques;
Streambased computing
Computational geometry
Theoretical computational geometry;
Applied computational geometry;
Design and analysis of geometric algorithms;
Design and analysis of geometric algorithms and data structures;
Discrete and combinatorial geometry and topology;
Data structures (Voronoi Diagrams, Delaunay triangulations, etc.);
Experimental evaluation of geometric algorithms and heuristics;
Numerical performance of geometric algorithms;
Geometric computations in parallel and distributed environments;
Geometric data structures for mesh generation;
Geometric methods in computer graphics;
Solid modeling;
Space Partitioning;
Special applications (animation of geometric algorithms, manufacturing, computer graphics and image processing, computeraided geometry design, solid geometry)
Interdisciplinary computing
Computational /physics, chemistry, biology/ algorithms; Graphbased modeling and algorithms; Computational methods for /crystal, protein/ structure prediction; Computation for multimaterial structure; Modeling and simulation of large deformations and strong shock waves; Computation in solid mechanics; Remote geosensing; Interdisciplinary computing in music and arts
Cloud computing
Hardwareasaservice;
Softwareasaservice [SaaS applicaitions];
Platformasservice;
Ondemand computing models;
Cloud Computing programming and application development;
Scalability, discovery of services and data in Cloud computing infrastructures;
Privacy, security, ownership and reliability issues;
Performance and QoS;
Dynamic resource provisioning;
Powerefficiency and Cloud computing;
Load balancing;
Application streaming;
Cloud SLAs, business models and pricing policies;
Custom platforms;
Largescale compute infrastructures;
Managing applications in the clouds;
Data centers;
Process in the clouds;
Content and service distribution in Cloud computing infrastructures;
Multiple applications can run on one computer (virtualization a la VMWare);
Grid computing (multiple computers can be used to run one application);
Cloudcomputing vendor governance and regulatory compliance
Grid Networks, Services and Applications
GRID theory, frameworks, methodologies, architecture, ontology;
GRID infrastructure and technologies;
GRID middleware;
GRID protocols and networking;
GRID computing, utility computing, autonomic computing, metacomputing;
Programmable GRID;
Data GRID;
Context ontology and management in GRIDs;
Distributed decisions in GRID networks;
GRID services and applications;
Virtualization, modeling, and metadata in GRID;
Resource management, scheduling, and scalability in GRID;
GRID monitoring, control, and management;
Traffic and load balancing in GRID;
User profiles and priorities in GRID;
Performance and security in GRID systems;
Fault tolerance, resilience, survivability, robustness in GRID;
QoS/SLA in GRID networks;
GRID fora, standards, development, evolution;
GRID case studies, validation testbeds, prototypes, and lessons learned
Computing in Virtualizationbased environments
Principles of virtualization;
Virtualization platforms;
Thick and thin clients;
Data centers and nanocenters;
Open virtualization format;
Orchestration of virtualization across data centers;
Dynamic federation of compute capacity;
Dynamic geobalancing;
Instant workload migration;
Virtualizationaware storage;
Virtualizationaware networking;
Virtualization embeddedsoftwarebased smart mobile phones;
Trusted platforms and embedded supervisors for security;
Virtualization management operations /discovery, configuration, provisioning, performance, etc.;
Energy optimization and saving for green datacenters;
Virtualization supporting cloud computing;
Applications as prepackaged virtual machines;
Licencing and support policies
Development of computing support
Computing platforms;
Advanced scientific computing;
Support for scientific problemsolving;
Support for distributed decisions;
Agentassisted workflow support;
Middleware computation support;
High performance computing;
Problem solving environments;
Computational science and education;
Neuronal networks
Computing applications in science
Advanced computing in civil engineering;
Advanced computing in physics science;
Advanced computing in chemistry science;
Advanced computing in mathematics;
Advanced computing in operation research;
Advanced computing in economics;
Advanced computing in electronics and electrical science;
Advanced computing on Earth science, geosciences and meteorology
Complex computing in application domains
Computation genomic;
Management of scientific data and knowledge;
Advanced computing in bioinformatics and biophysics;
Advanced computing in molecular systems and biological systems;
Application of engineering methods to genetics;
Medical computation and graphics;
Advanced computing in simulation systems;
Advanced computing for statistics and optimization;
Advanced computing in mechanics and quantum mechanics;
Advanced computing for geosciences and meteorology;
Maps and geoimages building;
Curve and surface reconstruction;
Financial computing and forecasting;
Advanced computing in robotics and manufacturing;
Advanced computing in power systems;
Environmental advanced computing