You are previewing International Journal of Grid and High Performance Computing (IJGHPC) Volume 7, Issue 2.
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International Journal of Grid and High Performance Computing (IJGHPC) Volume 7, Issue 2

Book Description

The International Journal of Grid and High Performance Computing (IJGHPC) examines current, state-of-the art research on all aspects of grid and cloud evolution, middleware, standards, API, economy, education, services, algorithms, collaboration, impact, instrumentation, security, portals, trends, challenges, models, work flow management, wireless systems, and high performance computing. This journal will be instrumental in the improvement and development of theory and practice in grid and cloud computing.

This issue contains the following articles:

  • Independent Tasks Scheduling using Parallel PSO in Multiprocessor Systems
  • Exploring Vectorization and Prefetching Techniques on Scientific Kernels and Inferring the Cache Performance Metrics
  • An Anonymous Email Identification Solution based on Writing Structural Patterns
  • A Novel Multi-Dimension Resource Recycling Mechanism for Cloud Data Centers
  • A Self-Adaptive Prediction Algorithm for Cloud Workloads
  • Apriori-based High Efficiency Load Balancing Parallel Data Mining Algorithms on Multi-core Architectures

Table of Contents

  1. Cover
  2. Masthead
  3. Call For Articles
  4. Independent Tasks Scheduling using Parallel PSO in Multiprocessor Systems
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. PARALLEL PARTICLE SWARM OPTIMIZATION
    4. 3. THE PROBLEM
    5. 4. THE PROPOSED MODEL
    6. 5. AN ILLUSTRATED EXAMPLE
    7. 6. PERFORMANCE EVALUATION
    8. 7. CONCLUSION
    9. REFERENCES
  5. Exploring Vectorization and Prefetching Techniques on Scientific Kernels and Inferring the Cache Performance Metrics
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. EXPERIMENTAL SETUP
    5. RESULTS
    6. CONCLUSION AND FUTURE WORK
    7. REFERENCES
  6. An Anonymous Email Identification Solution based on Writing Structural Patterns
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RELATED WORKS
    4. 3. EMAIL WRITING STRUCTURAL PATTERNS
    5. 4. IDENTIFICATION MODEL OF ANONYMOUS EMAILS
    6. 5. MINING EMAIL WRITING STRUCTURAL PATTERN
    7. 6. WEIGHT CALCULATION OF WRITING STRUCTURAL PATTERN BASED ON ANALYTIC HIERARCHY PROCESS
    8. 7. IDENTIFICATION OF ANONYMOUS EMAILS
    9. 8. EXPERIMENTS AND ANALYSIS
    10. 9. CONCLUSION
    11. ACKNOWLEDGMENT
    12. REFERENCES
  7. A Novel Multi-Dimension Resource Recycling Mechanism for Cloud Data Centers
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RELATED WORK
    4. 3. CLOUD RESOURCE RECYCLING ALGORITHM
    5. 4. EXPERIMENTAL RESULTS
    6. 5. CONCLUSION
    7. ACKNOWLEDGMENT
    8. REFERENCES
  8. A Self-Adaptive Prediction Algorithm for Cloud Workloads
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. ANALYSIS AND COMPARISON OF THE PREDICTIONS OF LINEAR REGRESSION AND BP NEURAL NETWORK
    4. 3. DESIGN OF SELF-ADAPTIVE PREDICTION ALGORITHM FOR CLOUD WORKLOAD BASED ON LINEAR REGRESSION AND BP NEURAL NETWORK
    5. 4. EXPERIMENTS AND RESULTS OF SELF-ADAPTIVE PREDICTION ALGORITHM FOR CLOUD RESOURCES
    6. 5. DYNAMIC SCHEDULING ARCHITECTURE FOR CLOUD RESOURCES BASED ON SELF-ADAPTIVE PREDICTION
    7. 6. CONCLUSION
    8. ACKNOWLEDGMENT
    9. REFERENCES
  9. Apriori-based High Efficiency Load Balancing Parallel Data Mining Algorithms on Multi-core Architectures
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RELATED WORKS
    4. 3. PROPOSED ALGORITHM
    5. 4. EXPERIMENTAL RESULTS
    6. 5. CONCLUSION
    7. REFERENCES
  10. Call For Articles