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Services Computing – SCC 2018

Overview of attention for book
Cover of 'Services Computing – SCC 2018'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Program Recommendation Algorithm Based on Tag Association Model
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    Chapter 2 Research of Web Service Recommendation Using Bayesian Network Reasoning
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    Chapter 3 A Survey of Time-Aware Dynamic QoS Forecasting Research, Its Future Challenges and Research Directions
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    Chapter 4 Efficient Web Service Composition via Knapsack-Variant Algorithm
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    Chapter 5 Security-Aware Passwords and Services Usage in Developing Countries: A Case Study of Bangladesh
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    Chapter 6 Data Service API Design for Data Analytics
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    Chapter 7 Virtual Machine Profiling for Analyzing Resource Usage of Applications
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    Chapter 8 Configurable IoT-Aware Allocation in Business Processes
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    Chapter 9 A Multi-stage Dynamic Game-Theoretic Approach for Multi-Workflow Scheduling on Heterogeneous Virtual Machines from Multiple Infrastructure-as-a-Service Clouds
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    Chapter 10 A Quality-Based Web API Selection for Mashup Development Using Affinity Propagation
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    Chapter 11 Perfomance Evaluation of Java, JavaScript and PHP Serialization Libraries for XML, JSON and Binary Formats
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    Chapter 12 Queue-Waiting-Time Based Load Balancing Algorithm for Fine-Grain Microservices
Attention for Chapter 4: Efficient Web Service Composition via Knapsack-Variant Algorithm
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Chapter title
Efficient Web Service Composition via Knapsack-Variant Algorithm
Chapter number 4
Book title
Services Computing – SCC 2018
Published by
Springer, Cham, June 2018
DOI 10.1007/978-3-319-94376-3_4
Book ISBNs
978-3-31-994375-6, 978-3-31-994376-3
Authors

Shi-Liang Fan, Yu-Bin Yang, Xiao-Xuan Wang, Fan, Shi-Liang, Yang, Yu-Bin, Wang, Xiao-Xuan

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 20%
Lecturer 2 20%
Student > Ph. D. Student 1 10%
Researcher 1 10%
Unknown 4 40%
Readers by discipline Count As %
Computer Science 6 60%
Unknown 4 40%

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