Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

The purpose of the 10th Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2009) to be held on May 27 - 29, 2009 in Daegu, Korea is to bring together scientist, engineers, computer users, students to share their experiences and exchange new ideas, and research results about all aspects (theory, applications and tools) of computer and information Science; and to discuss the practical challenges encountered along the way and the solutions adopted to solve them.

The conference organizers selected 23 outstanding papers from SNPD 2009, all of which you will find in this volume of Springer's Studies in Computational Intelligence.

Klappentext

The purpose of the 10th ACIS International Conference on Software Engineering Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD rd 2009), held in Daegu, Korea on May 27-29, 2009, the 3 International Workshop st on e-Activity (IWEA 2009) and the 1 International Workshop on Enterprise Architecture Challenges and Responses (WEACR 2009) is to aim at bringing together researchers and scientist, businessmen and entrepreneurs, teachers and students to discuss the numerous fields of computer science, and to share ideas and information in a meaningful way. Our conference officers selected the best 24 papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rounds of rigorous review. In chapter 1, Igor Crk and Chris Gniady propose a network-aware energy m- agement mechanism that provides a low-cost solution that can significantly reduce energy consumption in the entire system while maintaining responsiveness of local interactive workloads. Their dynamic mechanisms reduce the decision delay before the disk is spun-up, reduce the number of erroneous spin-ups in local wo- stations, decrease the network bandwidth, and reduce the energy consumption of individual drives. In chapter 2, Yoshihito Saito and Tokuro Matsuo describe a task allocation mechanism and its performance concerning with software developing. They run simulations and discuss the results in terms of effective strategies of task allocation.

Inhalt

Network-Aware Program-Counter-Based Disk Energy Management.- Effects of Distributed Ordering Mechanism in Task Allocation.- Processing of Continuous k Nearest Neighbor Queries in Road Networks.- A Self-adaptive Greedy Scheduling Scheme for a Multi-Objective Optimization on Identical Parallel Machines.- Usage Distribution Coverage: What Percentage of Expected Use Has Been Executed in Software Testing?.- Concept Based Pseudo Relevance Feedback in Biomedical Field.- Using Connectors to Address Transparent Distribution in Enterprise Systems - Pitfalls and Options.- An Empirical Research on the Determinants of User M-Commerce Acceptance.- Markov Tree Prediction on Web Cache Prefetching.- Frameworks for Web Usage Mining.- A Concept Semantic Similarity Algorithm Based on Bayesian Estimation.- What Make Democracy Possible: A Predictive Modeling Approach.- Blog Summarization for Blog Mining.- An Approach Using Formal Concept Analysis to Object Extraction in Legacy Code.- Multiple Factors Based Qualitative Simulation for Flood Analysis.- Layering MDA: Applying Transparent Layers of Knowledge to Platform Independent Models.- Semantics Based Collaborative Filtering.- Evaluation and Certifications for Component Packages Software.- Categorical Representation of Decision-Making Process Guided by Performance in Enterprise Integration Systems.- Bayesian Statistical Modeling of System Energy Saving Effectiveness for MAC Protocols of Wireless Sensor Networks.- Field Server System Using Solar Energy Based on Wireless Sensor.- A Study on the Design of Ubiquitous Sensor Networks Based on Wireless Mesh Networks for Ubiquitous-Greenhouse.- Switching Software: A Hierarchical Design Approach.- Towards Data-Driven Hybrid Composition of Data Mining Multi-agent Systems.