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delivery. Cloud and Virtual Data Storage Networking, by savvy IT industry veteran Greg Schulz, looks at converging IT resources and management;
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and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and;
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and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and;
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components that make a cloud network possible such as switch fabric technology and data center networking standards. The final chapters look ahead to;
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The Green and Virtual Data Center sets aside the political aspects of what is or is not considered green to instead focus on the;
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The Green and Virtual Data Center sets aside the political aspects of what is or is not considered green to instead focus on the;
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virtualization, focusing on techniques for network optimization in data centers; reviews the qualities and benefits of hybrid clouds, that bridge private;
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. Addresses the virtual machine placement problem Describes widespread network and information security technologies for Big Data;
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. Addresses the virtual machine placement problem Describes widespread network and information security technologies for Big Data;
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have skills needed to run a highly efficient and modern data center, with expertise in cloud technologies, identity and systems management;
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technologies that enable performance, resiliency, availability, recoverability, and simplicity * Covers virtualization, big data, cloud storage;
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Software-Defined Data Infrastructures Essentials provides fundamental coverage of physical, cloud, converged, and virtual server storage I;
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and processed by Cloud applications, putting a higher demand on cloud storage. While data reliability should already be a requirement, data;
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implement, manage, and monitor identity, governance, storage, compute, and virtual networks in a cloud environment, and to provision, size, monitor;
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provided architectural and engineering expertise in a variety of virtualization, data center, and private cloud based engagements while working;
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cloud environments. Designed for experienced cloud professionals ready to advance their status, Exam Ref focuses on the critical thinking and;
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explores the software changes that are motivating this evolution, ranging from data management, to in-stream processing and storage in virtual;
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DDoS attacks; and generation of labelled datasets to quantify the impact of security threats to cloud data centers. Section 2 focuses on;
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system to manage physical and virtual networking resources in an OpenStack-based cloud. Like other core OpenStack components, OpenStack;
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technology, virtual provisioning, FCoE, flash drives, storage tiering, big data, and more * Details storage models such as Network Attached Storage;
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networks; and virtual network functions over cloud infrastructures.;
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data management for application in smart grids. Different cloud and data management approaches are explained, highlighting energy management;
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Software-Defined Data Infrastructures Essentials provides fundamental coverage of physical, cloud, converged, and virtual server storage I;
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complete cloud architecture for enterprise networking by synthesizing WAN optimization, next-generation data centers, and virtualization in a;
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, virtualization, automation and orchestration, and cloud-native software design. The book explains real and virtual data center facilities, including;
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Harness the power of OpenStack Networking for public and private clouds using 90 hands-on recipes About This Book * Build and manage;
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