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Cloud computing -- CLOUD 2020 : 13th International Conference, held as part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings / Qi Zhang, Yingwei Wang, Liang-Jie Zhang (eds.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 12403. | LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.Publication details: Cham : Springer, 2020.Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030596354
  • 3030596354
Other title:
  • CLOUD 2020
Subject(s): Genre/Form: Additional physical formats: Print version:: Cloud computing -- CLOUD 2020.DDC classification:
  • 004.67/82 23
LOC classification:
  • QA76.585
Online resources:
Contents:
Intro -- Preface -- Organization -- Conference Sponsor -- Services Society -- About the Services Conference Federation (SCF) -- Contents -- A Replication Study to Explore Network-Based Co-residency of Virtual Machines in the Cloud -- 1 Introduction -- 2 Experiment Platforms and Methodology -- 2.1 AWS Elastic Compute Cloud (EC2) -- 2.2 OpenStack -- 3 Cloud Cartography -- 3.1 AWS EC2 -- 3.2 OpenStack -- 4 Co-residency Experiments -- 4.1 AWS EC2 -- 4.2 OpenStack -- 5 Discussion -- 5.1 AWS EC2 -- 5.2 OpenStack -- 5.3 Legal Issues -- 6 Conclusion -- References
Leveraging Federated Clouds for Improving Blockchain Performance -- 1 Introduction -- 2 Related Work -- 3 Role of Federated Clouds in Blockchains -- 4 Consensus in a Blockchain -- 5 Proposed Approach -- 6 Illustration -- 7 Implications -- 8 Summary and Future Work -- References -- A Resource Trend Analysis from a Business Perspective Based on a Component Decomposition Approach -- 1 Introduction -- 2 Related Work -- 3 Previous Method -- 3.1 Component Decomposition Approach -- 3.2 Non-negative Matrix Factorization (NMF) -- 4 Proposed Method -- 4.1 Approach to Handling Multiple Sources of Data
4.2 Procedure of Proposed Method -- 5 Evaluation -- 5.1 Experiment with Multiple Resources on Multiple Devices -- 5.2 Experiment with Resource Usage and Application Workload -- 6 Conclusion -- References -- A Utility-Based Fault Handling Approach for Efficient Job Rescue in Clouds -- 1 Introduction -- 2 Related Work -- 3 System Modelling -- 3.1 Definitions -- 3.2 Job Urgency and Operation Profit Model -- 3.3 Evaluation Metrics -- 3.4 Job Rescue Utility -- 4 The Replica Selection Schema -- 5 UBFH Fault Handling Approach and Algorithms -- 6 Simulation Results
6.1 Simulation 1 -- Equivalent Utility Weights -- 6.2 Simulation 2 -- Urgency-Heavy Utility -- 6.3 Simulation 3 -- Profit-Heavy Utility Weights -- 7 Conclusions and Future Works -- References -- Analyzing CNN Based Behavioural Malware Detection Techniques on Cloud IaaS -- 1 Introduction and Motivation -- 2 Related Work -- 3 Key Intuition and Methodology -- 3.1 Key Intuition -- 3.2 Methodology -- 3.3 Convolutional Neural Network Models -- 4 Experimental Evaluation and Results -- 4.1 Evaluation Metrics -- 4.2 Experiment Results -- 5 Comparative Analysis and Discussion -- 5.1 Performance Analysis
5.2 Cost Analysis -- 5.3 Overall Analysis -- 6 Limitations and Challenges -- 7 Conclusion and Future Work -- References -- Job Completion Time in Dynamic Vehicular Cloud Under Multiple Access Points -- 1 Introduction -- 2 The VC Model -- 2.1 Communication Model -- 3 Virtualization -- 4 Workloads of Interest -- 5 Approximating Job Completion Time -- 5.1 Combining the Two Cases -- 6 Simulation Model -- 7 Simulation Results -- 8 Concluding Remarks and Future Work -- References -- PLMSys: A Cloud Monitoring System Based on Cluster Performance and Container Logs -- 1 Introduction -- 2 Related Work
Summary: This book constitutes the proceedings of the 13th International Conference on Cloud Computing, CLOUD 2020, held as part of SCF 2020, during September 18-20, 2020. The conference was planned to take place in Honolulu, HI, USA and was changed to a virtual format due to the COVID-19 pandemic. The 16 full and 6 short papers presented were carefully reviewed and selected from 49 submissions. They deal with the latest fundamental advances in the state of the art and practice of cloud computing, identify emerging research topics, and define the future of cloud computing.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library eBook LNCS Available
Total holds: 0

International conference proceedings.

"To celebrate its18th birthday, SCF 2020 was held virtually during September 18-20, 2020."

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed November 5, 2020).

Intro -- Preface -- Organization -- Conference Sponsor -- Services Society -- About the Services Conference Federation (SCF) -- Contents -- A Replication Study to Explore Network-Based Co-residency of Virtual Machines in the Cloud -- 1 Introduction -- 2 Experiment Platforms and Methodology -- 2.1 AWS Elastic Compute Cloud (EC2) -- 2.2 OpenStack -- 3 Cloud Cartography -- 3.1 AWS EC2 -- 3.2 OpenStack -- 4 Co-residency Experiments -- 4.1 AWS EC2 -- 4.2 OpenStack -- 5 Discussion -- 5.1 AWS EC2 -- 5.2 OpenStack -- 5.3 Legal Issues -- 6 Conclusion -- References

Leveraging Federated Clouds for Improving Blockchain Performance -- 1 Introduction -- 2 Related Work -- 3 Role of Federated Clouds in Blockchains -- 4 Consensus in a Blockchain -- 5 Proposed Approach -- 6 Illustration -- 7 Implications -- 8 Summary and Future Work -- References -- A Resource Trend Analysis from a Business Perspective Based on a Component Decomposition Approach -- 1 Introduction -- 2 Related Work -- 3 Previous Method -- 3.1 Component Decomposition Approach -- 3.2 Non-negative Matrix Factorization (NMF) -- 4 Proposed Method -- 4.1 Approach to Handling Multiple Sources of Data

4.2 Procedure of Proposed Method -- 5 Evaluation -- 5.1 Experiment with Multiple Resources on Multiple Devices -- 5.2 Experiment with Resource Usage and Application Workload -- 6 Conclusion -- References -- A Utility-Based Fault Handling Approach for Efficient Job Rescue in Clouds -- 1 Introduction -- 2 Related Work -- 3 System Modelling -- 3.1 Definitions -- 3.2 Job Urgency and Operation Profit Model -- 3.3 Evaluation Metrics -- 3.4 Job Rescue Utility -- 4 The Replica Selection Schema -- 5 UBFH Fault Handling Approach and Algorithms -- 6 Simulation Results

6.1 Simulation 1 -- Equivalent Utility Weights -- 6.2 Simulation 2 -- Urgency-Heavy Utility -- 6.3 Simulation 3 -- Profit-Heavy Utility Weights -- 7 Conclusions and Future Works -- References -- Analyzing CNN Based Behavioural Malware Detection Techniques on Cloud IaaS -- 1 Introduction and Motivation -- 2 Related Work -- 3 Key Intuition and Methodology -- 3.1 Key Intuition -- 3.2 Methodology -- 3.3 Convolutional Neural Network Models -- 4 Experimental Evaluation and Results -- 4.1 Evaluation Metrics -- 4.2 Experiment Results -- 5 Comparative Analysis and Discussion -- 5.1 Performance Analysis

5.2 Cost Analysis -- 5.3 Overall Analysis -- 6 Limitations and Challenges -- 7 Conclusion and Future Work -- References -- Job Completion Time in Dynamic Vehicular Cloud Under Multiple Access Points -- 1 Introduction -- 2 The VC Model -- 2.1 Communication Model -- 3 Virtualization -- 4 Workloads of Interest -- 5 Approximating Job Completion Time -- 5.1 Combining the Two Cases -- 6 Simulation Model -- 7 Simulation Results -- 8 Concluding Remarks and Future Work -- References -- PLMSys: A Cloud Monitoring System Based on Cluster Performance and Container Logs -- 1 Introduction -- 2 Related Work

This book constitutes the proceedings of the 13th International Conference on Cloud Computing, CLOUD 2020, held as part of SCF 2020, during September 18-20, 2020. The conference was planned to take place in Honolulu, HI, USA and was changed to a virtual format due to the COVID-19 pandemic. The 16 full and 6 short papers presented were carefully reviewed and selected from 49 submissions. They deal with the latest fundamental advances in the state of the art and practice of cloud computing, identify emerging research topics, and define the future of cloud computing.

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