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Optimized Cloud Resource Management and Scheduling

Optimized Cloud Resource Management and Scheduling identifies research directions and technologies that will facilitate efficient;

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Optimized Cloud Based Scheduling

assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and;

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Optimized Cloud Based Scheduling

assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and;

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Swarm Intelligence for Cloud Computing

Swarm Intelligence in Cloud Computing is an invaluable treatise for researchers involved in delivering intelligent optimized solutions for;

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Scheduling in Industry 4.0 and Cloud Manufacturing

introduction and advanced techniques of scheduling applications to cloud manufacturing and Industry 4.0 systems for larger audience. This book uncovers;

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Scheduling in Industry 4.0 and Cloud Manufacturing

introduction and advanced techniques of scheduling applications to cloud manufacturing and Industry 4.0 systems for larger audience. This book uncovers;

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Adaptive Resource Management and Scheduling for Cloud Computing

Management and Scheduling for Cloud Computing, ARMS-CC 2015, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC;

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Adaptive Resource Management and Scheduling for Cloud Computing

Management and Scheduling for Cloud Computing, ARMS-CC 2014, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2014;

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Cloud Broker and Cloudlet for Workflow Scheduling

This book blends the principles of cloud computing theory and discussion of emerging technologies in cloud broker systems, enabling users;

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Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications

; cloud-based data analytics; cloud applications; and cloud security and privacy. SmartGIFT 2019 focus on all aspects of smart grids and;

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The Cloud in IoT-enabled Spaces

The Cloud in IoT-enabled Spaces addresses major issues and challenges in IoT-based solutions proposed for the Cloud. It paves the way for;

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The Cloud in IoT-enabled Spaces

The Cloud in IoT-enabled Spaces addresses major issues and challenges in IoT-based solutions proposed for the Cloud. It paves the way for;

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Cloud Computing

Cloud Computing: Theory and Practice, Third Edition provides students and IT professionals with an in-depth analysis of the cloud from;

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Cloud Computing

software. Addressing performance issues, Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical techniques;

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Cloud Computing

software. Addressing performance issues, Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical techniques;

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Supervisory Control and Scheduling of Resource Allocation Systems

of resource allocation systems (RASs). Resource allocation systems are common in automated manufacturing systems, project management systems, cloud;

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Task Scheduling for Multi-core and Parallel Architectures

-of-the-art task-scheduling techniques that are optimized for different architectures, and which can be directly applied in real parallel systems;

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Building Serverless Applications with Google Cloud Run A RealWorld Guide to Building ProductionReady Services

-based serverless product on Google Cloud. Through the course of this book, you'll learn how to deploy several example applications that;

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Job Scheduling Strategies for Parallel Processing

scheduling systems; cloud provider issues; interaction between schedulers on different levels; interaction between applications/workloads; experience;

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Parallel and Distributed Processing Techniques and Applications

Mathematical Modeling and Problem Solving - MPS Grid + Cloud Computing and Supporting Tools + Applications Systems Software + Programming Models;

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Parallel and Distributed Processing Techniques and Applications

Mathematical Modeling and Problem Solving - MPS Grid + Cloud Computing and Supporting Tools + Applications Systems Software + Programming Models;

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Physical Layer Multi-Core Prototyping

of base stations is a significant cost for operators, and is currently optimized using state-of-the-art hardware solutions, such as heterogeneous;

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Cloud Foederationen

Andreas Kohne liefert einen fundierten Einblick in die Grundlagen des Cloud Computings, der Cloud-Foederationen und des SLA-basierten VM;

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Evolutionary Computation in Scheduling

, application of sub-population scheduling algorithm in multi-population evolutionary dynamic optimization, task scheduling in cloud environments;

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Cloud Computing with e-Science Applications

-as-a-service (PaaS), and software-as-a-service (SaaS) solutions based on public, private, and hybrid cloud computing models Demonstrates how;

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Cloud Computing with E-Science Applications

infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and software-as-a-service (SaaS) solutions based on public, private, and hybrid cloud;

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