You are previewing International Journal of Grid and High Performance Computing (IJGHPC) Volume 8, Issue 2.
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International Journal of Grid and High Performance Computing (IJGHPC) Volume 8, 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:

  • Software-Defined Networking for Scalable Cloud-based Services to Improve System Performance of Hadoop-based Big Data Applications
  • Discovering Gathering Pattern Using a Taxicab Service Rate Analysis Method based on Neural Network
  • An Energy-Efficient Resource Scheduling Algorithm for Cloud Computing based on Resource Equivalence Optimization
  • Towards High Performance Text Mining: A TextRank-based Method for Automatic Text Summarization
  • Extending Dynamic Scheduling Policies in WorkflowSim by Using Variance based Approach
  • Game Theoretic Cloud-Assisted Opportunistic Spectrum Access in Cognitive Radio Networks

Table of Contents

  1. Cover
  2. Masthead
  3. Call For Articles
  4. Software-Defined Networking for Scalable Cloud-based Services to Improve System Performance of Hadoop-based Big Data Applications
    1. ABSTRACT
    2. 1. INTRODUCTION AND MOTIVATION
    3. 2. SDN FOR SCALABLE CLOUD-BASED SERVICES AND BIG DATA APPLICATIONS
    4. 3. SYSTEM ARCHITECTURE
    5. 4. RESEARCH VALIDATION USE CASES
    6. 5. IMPLEMENTATION AND EVALUATION
    7. 6. RELATED WORK
    8. 7. OPEN RESEARCH QUESTIONS
    9. 8. SUMMARY AND DISCUSSION
    10. ACKNOWLEDGMENT
    11. REFERENCES
    12. ENDNOTES
  5. Discovering Gathering Pattern Using a Taxicab Service Rate Analysis Method based on Neural Network
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. PRELIMINARY
    4. 3. TAXICAB SERVICE RATE CALCULATION
    5. 4. GATHERING PATTERN DISCOVERY
    6. 5. EXPERIMENTS
    7. 6. RELATED WORK
    8. 7. CONCLUSION
    9. REFERENCES
    10. ENDNOTES
  6. An Energy-Efficient Resource Scheduling Algorithm for Cloud Computing based on Resource Equivalence Optimization
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RESOURCE ALLOCATION MODEL IN CLOUD UNDER THE HETEROGENEOUS ENVIRONMENT
    4. 3. OPTIMIZED METHOD OF RESOURCE ALLOCATION BASED ON OPTIMIZING THE EQUIVALENT RESOURCES
    5. 4. EXPERIMENTS AND RESULTS
    6. 5. CONCLUSION
    7. ACKNOWLEDGMENT
    8. REFERENCES
  7. Towards High Performance Text Mining:
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. BACKGROUNDS
    4. 3. TEXTRANK GRAPH FOR TEXTS
    5. 4. ITEXTRANK
    6. 5. EXPERIMENTS AND ANALYSIS
    7. 6. CONCLUSION AND FUTURE WORK
    8. ACKNOWLEDGMENT
    9. REFERENCES
  8. Extending Dynamic Scheduling Policies in WorkflowSim by Using Variance based Approach
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RELATED WORK
    4. 3. PRELIMINARY
    5. 4. PROPOSED VARIANCE BASED NEW NEIGHBOR (NN) SCHEDULING POLICIES
    6. 5. SIMULATION AND ANALYSIS
    7. 6. CONCLUSION AND FUTURE DISCUSSION
    8. REFERENCES
  9. Game Theoretic Cloud-Assisted Opportunistic Spectrum Access in Cognitive Radio Networks
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. SYSTEM MODEL AND PROBLEM FORMULATION
    4. 3. ADMISSION CONTROL AND POWER ADAPTATION FOR SECONDARY USERS
    5. 4. SIMULATION AND NUMERICAL RESULTS
    6. 5. CONCLUSION
    7. ACKNOWLEDGMENT
    8. REFERENCES
  10. Call For Articles