Название: Cloud Computing and Big data: Technologies, Applications and Security Автор: Mostapha Zbakh, Mohammed Essaaidi Издательство: Springer Серия: Lecture Notes in Networks and Systems (Book 49) ISBN: 3319977180 Год: 2018 (2019 Edition) Страниц: 409 Язык: английский Формат: pdf (true), epub Размер: 34.6 MB
This book addresses topics related to cloud and Big Data technologies, architecture and applications including distributed computing and data centers, cloud infrastructure and security, and end-user services. The majority of the book is devoted to the security aspects of cloud computing and Big Data. Cloud computing, which can be seen as any subscription-based or pay-per-use service that extends the Internet’s existing capabilities, has gained considerable attention from both academia and the IT industry as a new infrastructure requiring smaller investments in hardware platforms, staff training, or licensing software tools. It is a new paradigm that has ushered in a revolution in both data storage and computation.
In parallel to this progress, Big Data technologies, which rely heavily on cloud computing platforms for both data storage and processing, have been developed and deployed at breathtaking speed. They are among the most frequently used technologies for developing applications and services in many fields, such as the web, health, and energy.
Accordingly, cloud computing and Big Data technologies are two of the most central current and future research mainstreams. They involve and impact a host of fields, including business, scientific research, and public and private administration.
Gathering extended versions of the best papers presented at the Third International Conference on Cloud Computing Technologies and Applications (CloudTech’17), this book offers a valuable resource for all Information System managers, researchers, students, developers, and policymakers involved in the technological and application aspects of cloud computing and Big Data.
This book aims to be an up-to-date reference for researchers and end users on all aspects related to cloud computing and big data technologies and application. Topics
• Cloud architecture • Mobile computing • Green computing • Resource allocation • HPC • GPU • Energy efficiency • Big data • Security and privacy
Elliptic Curve Qu-Vanstone Based Signcryption Schemes with Proxy Re-encryption for Secure Cloud Data Storage 1 Cloud Computing: Overview and Risk Identification Based on Classification by Type 19 Authentication Model for Mobile Cloud Computing Database Service 35 FADETPM: Novel Approach of File Assured Deletion Based on Trusted Platform Module 49 Issues and Threats of Cloud Data Storage 60 Challenges of Crowd Sensing for Cost-Effective Data Management in the Cloud 73 On the Security of Medical Image Processing in Cloud Environment 89 Implementations of Intrusion Detection Architectures in Cloud Computing 100 Privacy in Big Data Through Variable t -Closeness for MSN Attributes 125 The Big Data-RTAP: Toward a Secured Video Surveillance System in Smart Environment 142 Optimizations in Fully Homomorphic Encryption 150 Support Cloud SLA Establishment Using MDE 167 A New Parallel and Distributed Approach for Large Scale Images Retrieval 185 Classification of Social Network Data Using a Dictionary-Based Approach 202 Parallel and Distributed Map-Reduce Models for External Clustering Validation Indexes 220 Workflow Scheduling Issues and Techniques in Cloud Computing: A Systematic Literature Review 241 A Review of Green Cloud Computing Techniques 264 Towards a Smart Exploitation of GPUs for Low Energy Motion Estimation Using Full HD and 4K Videos 284 Machine Learning Applications in Supply Chains: Long Short-Term Memory for Demand Forecasting 301 Performance Analysis of Preconditioned Conjugate Gradient Solver on Heterogeneous (Multi-CPUs/ Multi-GPUs) Architecture 318 Runtime Prediction of Optimizers Using Improved Support Vector Machine 337 AND/ OR Directed Graph for Dynamic Web Service Composition 351 An NLP Based Text-to-Speech Synthesizer for Moroccan Arabic 369 Context-Aware Routing Protocol for Mobile WSN: Fire Forest Detection 380
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