Cloud Computing CLOUD 2018 Min Luo 3319942956 9783319942957

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Product details:

• ISBN 10: 3319942956
• ISBN 13: 9783319942957
• Author: Min Luo

This volume constitutes the proceedings of the 11th International Conference on Cloud Computing, CLOUD 2018, held as part of the Services Conference Federation, SCF 2018, in Seattle, WA, USA, in June 2018. The 26 full papers presented together with 3 short papers were carefully reviewed and selected from 108 submissions. They are organized in topical sections such as cloud computing; client-server architectures; distributed systems organizing principles; storage virtualization; virtual machines; cloud based storage; distributed architectures; network services; and computing platforms.

Table of contents:

A Vector-Scheduling Approach for Running Many-Task Applications in the Cloud

Mitigating Multi-tenant Interference in Continuous Mobile Offloading

Dynamic Selecting Approach for Multi-cloud Providers

Research Track: Cloud Data Storage

Teleporting Failed Writes with Cache Augmented Data Stores

2-Hop Eclipse: A Fast Algorithm for Bandwidth-Efficient Data Center Switching

A Prediction Approach to Define Checkpoint Intervals in Spot Instances

Research Track: Cloud Container

Cloud Service Brokerage and Service Arbitrage for Container-Based Cloud Services

Fault Injection and Detection for Artificial Intelligence Applications in Container-Based Clouds

Container-VM-PM Architecture: A Novel Architecture for Docker Container Placement

Research Track: Cloud Resource Management

Renewable Energy Curtailment via Incentivized Inter-datacenter Workload Migration

Pricing Cloud Resource Based on Reinforcement Learning in the Competing Environment

An Effective Offloading Trade-Off to Economize Energy and Performance in Edge Computing

Research Track: Cloud Management

Implementation and Comparative Evaluation of an Outsourcing Approach to Real-Time Network Services in Commodity Hosted Environments

Identity and Access Management for Cloud Services Used by the Payment Card Industry

Network Anomaly Detection and Identification Based on Deep Learning Methods

A Feedback Prediction Model for Resource Usage and Offloading Time in Edge Computing

Application and Industry Track: Cloud Service System

cuCloud: Volunteer Computing as a Service (VCaaS) System

CloudsStorm: An Application-Driven Framework to Enhance the Programmability and Controllability of Cloud Virtual Infrastructures

A RESTful E-Governance Application Framework for People Identity Verification in Cloud

A Novel Anomaly Detection Algorithm Based on Trident Tree

Application and Industry Track: Cloud Environment Framework

Framework for Management of Multi-tenant Cloud Environments

Fault Tolerant VM Consolidation for Energy-Efficient Cloud Environments

Over-Sampling Algorithm Based on VAE in Imbalanced Classification

Application and Industry Track: Cloud Data Processing

A Two-Stage Data Processing Algorithm to Generate Random Sample Partitions for Big Data Analysis

An Improved Measurement of the Imbalanced Dataset

A Big Data Analytical Approach to Cloud Intrusion Detection

Short Track

Context Sensitive Efficient Automatic Resource Scheduling for Cloud Applications

A Case Study on Benchmarking IoT Cloud Services

A Comprehensive Solution for Research-Oriented Cloud Computing

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