Dokumen Cloud Data Center Network Architectures And Technologies Pdf
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Cloud Data Center Network Architectures and Technologies
Cloud Data Center Network Architectures and Technologies has been written with the support of Huawei's vast technical knowledge and experience in the data center network (DCN) field, as well as its understanding of customer service requirements. This book describes in detail the architecture design, technical implementation, planning and design, and deployment suggestions for cloud DCNs based on the service challenges DCNs encounter. It starts by describing the overall architecture and technical evolution of DCNs, with the aim of helping readers understand the development of DCNs. It then proceeds to explain the design and implementation of cloud DCNs, including the service model of a single data center (DC), construction of physical and logical networks of DCs, construction of multiple DCNs, and security solutions of DCs. Next, this book dives deep into practices of cloud DCN deployment based on real-world cases to help readers better understand how to build cloud DCNs. Finally, this book introduces DCN openness and some of the hottest forward-looking technologies. In summary, you can use this book as a reference to help you to build secure, reliable, efficient, and open cloud DCNs. It is intended for technical professionals of enterprises, research institutes, information departments, and DCs, as well as teachers and students of computer network-related majors in colleges and universities. Authors Lei Zhang Mr. Zhang is the Chief Architect of Huawei's DCN solution. He has more than 20 years' experience in network product and solution design, as well as a wealth of expertise in product design and development, network planning and design, and network engineering project implementation. He has led the design and deployment of more than 10 large-scale DCNs for Fortune Global 500 companies worldwide. Le Chen Mr. Chen is a Huawei DCN Solution Documentation Engineer with eight years' experience in developing documents related to DCN products and solutions. He has participated in the design and delivery of multiple large-scale enterprise DCNs. Mr. Chen has written many popular technical document series, such as DCN Handbook and BGP Topic.
Cloud Computing for Enterprise Architectures
Author: Zaigham Mahmood
language: en
Publisher: Springer Science & Business Media
Release Date: 2011-12-01
This important text provides a single point of reference for state-of-the-art cloud computing design and implementation techniques. The book examines cloud computing from the perspective of enterprise architecture, asking the question; how do we realize new business potential with our existing enterprises? Topics and features: with a Foreword by Thomas Erl; contains contributions from an international selection of preeminent experts; presents the state-of-the-art in enterprise architecture approaches with respect to cloud computing models, frameworks, technologies, and applications; discusses potential research directions, and technologies to facilitate the realization of emerging business models through enterprise architecture approaches; provides relevant theoretical frameworks, and the latest empirical research findings.
Implementation and Development of Data Center Network Architecture for the Eu Lightness Project
Internet-based business and consumer applications are driving serious increment in traffic to datacenters. Current multi-tier and over provision data center network architectures with significant cost, complexity, and power consumption are unable to provide adequate throughput and performance according to the increasing traffic growth and Information Technology (IT) demands. The features of recently proposed data center network architectures such as dynamic routing, flexible bandwidth, SDN integration, low latency, high bandwidth, fast allocation, failure recovery, and virtualization are analyzed to associate with recognizing current limitations of data centers. In response to these identified limitations, implementing optical technologies in data center networks brings high performance activities to cope with the unprecedented demands of cloud computing and emerging web applications in the near future. LIGHTNESS (Low latency and high throughput dynamic network infrastructures for high performance datacenter interconnects) is a European Union (EU)-funded project which introduces a new hybrid optical data center network architecture capable of providing high bandwidth capacity, low end-to-end latency to meet the requirements of new and emerging distributed applications and services. LIGHTNESS data center network includes all-optical switching technologies (Optical Packet Switching (OPS) and Optical Circuit Switching (OCS)) and hybrid Top-of-the-Rack (ToR) switches, which are monitored and controlled by a Software Defined Networking (SDN) based control plane to be flexible for the IT functionalities and programmable for the heterogeneous network. The SDN-based control plane by programmability and flexibility can fully use the efficiency of LIGHTNESS multi-technology optical data center network, while providing on-demand, dynamic, flexible, scalable and highly available network services inside data centers. In addition to describing the LIGHTNESS data center network, this thesis also compares the features of some OPS architectures proposed by Eindhoven University of California (UCDavis), University of Patras, and by the LIGHTNESS project to make a basis for implementing the data plane. Finally, this thesis propose an hybrid datacenter network architecture where a set of racks (i.e. a cluster) are interconnected by means of OPS switches while the clusters are interconnected by means of OCS switches which also provides the Internet access. The performance of the OPS cluster part of the network is evaluated considering both unicast and multicast traffic and different scenarios. The results of the simulation show that lower lost packets can be achieved with the reduction in the number of nodes within the cluster, load, and multicast. The percentage of the ratio of dropped packets to the transmitted ones due to the conjunction would be increased with the higher amount of network load.