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Cloud Data Centers and Cost Modeling establishes a framework for strategic decision-makers to facilitate the development of cloud data centers. Just as building a house requires a clear understanding of the blueprints, architecture, and costs of the project; building a cloud-based data center requires similar knowledge. The authors take a theoretical and practical approach, starting with the key questions to help uncover needs and clarify project scope. They then demonstrate probability tools to test and support decisions, and provide processes that resolve key issues. After laying a foundation of cloud concepts and definitions, the book addresses data center creation, infrastructure development, cost modeling, and simulations in decision-making, each part building on the previous. In this way the authors bridge technology, management, and infrastructure as a service, in one complete guide to data centers that facilitates educated decision making. Explains how to balance cloud computing functionality with data center efficiency Covers key requirements for power management, cooling, server planning, virtualization, and storage management Describes advanced methods for modeling cloud computing cost including Real Option Theory and Monte Carlo Simulations Blends theoretical and practical discussions with insights for developers, consultants, and analysts considering data center development
The enterprise data center has evolved dramatically in recent years. It has moved from a model that placed multiple data centers closer to users to a more centralized dynamic model. The factors influencing this evolution are varied but can mostly be attributed to regulatory, service level improvement, cost savings, and manageability. Multiple legal issues regarding the security of data housed in the data center have placed security requirements at the forefront of data center architecture. As the cost to operate data centers has increased, architectures have moved towards consolidation of servers and applications in order to better utilize assets and reduce "server sprawl." The more diverse and distributed the data center environment becomes, the more manageability becomes an issue. These factors have led to a trend of data center consolidation and resources on demand using technologies such as virtualization, higher WAN bandwidth technologies, and newer management technologies. The intended audience of this book is network architects and network administrators. In this IBM® Redbooks® publication we discuss the following topics: The current state of the data center network The business drivers making the case for change The unique capabilities and network requirements of system platforms The impact of server and storage consolidation on the data center network The functional overview of the main data center network virtualization and consolidation technologies The new data center network design landscape
Financial markets are witnessing an unprecedented explosion in the availability of data, and the firms that survive will be able to leverage this information to increase their profit and expand their opportunities in a global world. Financial firms have two options: to build their own data centers or to outsource them to hosting services such as Google and Amazon ‘cloud’ services. While outsourcing data centers is a trend for small firms, it is not applicable to bigger firms who want more control over their huge amounts of data. Large firms thus build their own data centers. In such an environment, the CIO’s ability is crucial to lead an effective data strategy to capture, process and connect data to all the relevant lines of business. At the core of this strategy lies the data center – the repository of all information. In recognition of the importance of information, firms are rushing to invest in data centers, but they are finding that just throwing technology at the problem is not good enough. Despite the investments, data centers prove frustrating in terms of inefficiencies and rising costs, directly cutting into the profitability of lines of business that they serve. While there are books that discuss the mechanics, hardware and technicalities of data centers, no book has yet made the connection between enterprise strategy and data center investment, design and management. This book is a solution driven book for management demonstrating how to leverage technology to manage the seemingly infinite amount of data available today. Each chapter offers cutting-edge management and technology solutions to effectively manage data through data centers. • Feature: Presents cutting-edge technology solutions not available in one place until now • Benefit: Saves time going to numerous websites, calling vendors, going to conferences • Feature: Includes step-by-step instructions on how to implement a data center strategy based on the author’s recent success with Wachovia’s data center • Benefit: Readers can follow these steps with confidence that they will work and not have to re-invent the wheel • Feature: Demonstrates how business and IT can be aligned in financial services • Benefit: Demonstrating this alignment is crucial for any proposal for IT related resources today
The complete guide to provisioning and managing cloud-based Infrastructure as a Service (IaaS) data center solutions Cloud computing will revolutionize the way IT resources are deployed, configured, and managed for years to come. Service providers and customers each stand to realize tremendous value from this paradigm shift--if they can take advantage of it. Cloud Computing brings together the realistic, start-to-finish guidance they need to plan, implement, and manage cloud solution architectures for tomorrow's virtualized data centers. It introduces cloud "newcomers" to essential concepts, and offers experienced operations professionals detailed guidance on delivering Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). This book's replicable solutions and fully-tested best practices will help enterprises, service providers, consultants, and Cisco partners meet the challenge of provisioning end-to-end cloud infrastructures. Drawing on extensive experience working with leading cloud vendors and integrators, the authors present detailed operations workflow examples, proven techniques for operating cloud-based network, compute, and storage infrastructure; a comprehensive management reference architecture; and a complete case study demonstrating rapid, lower-cost solutions design. Cloud Computing will be an indispensable resource for all network/IT professionals and managers involved with planning, implementing, or managing the next generation of cloud computing services. Venkata (Josh) Josyula, Ph.D., CCIE(R) No. 13518 is a Distinguished Services Engineer in Cisco Services Technology Group (CSTG) and advises Cisco customers on OSS/BSS architecture and solutions. Malcolm Orr, Solutions Architect for Cisco's Services Technology Solutions, advises telecoms and enterprise clients on architecting, building, and operating OSS/BSS and cloud management stacks. He is Cisco's lead architect for several Tier 1 public cloud projects. Greg Page has spent the last eleven years with Cisco in technical consulting roles relating to data center architecture/technology and service provider security. He is now exclusively focused on developing cloud/IaaS solutions with service providers and systems integrator partners. - Review the key concepts needed to successfully deploy clouds and cloud-based services - Transition common enterprise design patterns and use cases to the cloud - Master architectural principles and infrastructure designs for "real-time" managed IT services - Understand the Cisco approach to cloud-related technologies, systems, and services - Develop a cloud management architecture using ITIL, TMF, and ITU-TMN standards - Implement best practices for cloud service provisioning, activation, and management - Automate cloud infrastructure to simplify service delivery, monitoring, and assurance - Choose and implement the right billing/chargeback approaches for your business - Design and build IaaS services, from start to finish - Manage the unique capacity challenges associated with sporadic, real-time demand - Provide a consistent and optimal cloud user experience This book is part of the Networking Technology Series from Cisco Press(R), which offers networking professionals valuable information for constructing efficient networks, understanding new technologies, and building successful careers. Category: Cloud Computing Covers: Virtualized Data Centers
Enterprise Data Center Design and Methodology is the practical, start-to-finish guide to data center design and retrofitting. It introduces a scalable, modular methodology for designing data centers of any size and capability, and breakthrough techniques for accurate capacity planning. Sun Enterprise Architect Rob Snevely offers realistic solutions for every facet of planning and implementation, including site selection, network connectivity and infrastructure, environmental considerations, building codes, construction, and hazard avoidance.
Academic scholars and industry professionals alike face the formidable challenge of staying informed about emerging trends and innovations in cloud computing. The expansive realm of cloud technology has been the catalyst for several transformative changes across industries, offering unparalleled opportunities for optimization and innovation. However, even seasoned experts may find themselves daunted by the intricate web of new technologies, including green cloud computing, edge computing, cryptography in the cloud, load balancing strategies, and cloud analytics insights. Emerging Trends in Cloud Computing: Analytics, Scalability, and Service Models provides academic scholars and industry professionals with a comprehensive exploration of these critical cloud computing topics and more. This invaluable resource provides clarity and insight, serving as a guiding beacon in the ever-evolving world of cloud technology. Whether you're seeking to understand the intricacies of cloud security solutions, the nuances of scalability in cloud computing, or the various service models in the cloud, this book empowers you to navigate this dynamic field with confidence and expertise.
Cloud computing became a popular IT and business trend in recent years, due to its scalability, reliability, ease of access and low costs. The demand for cloud services has led to a steep increase in number and size of data centres around the world with more hardware dense, large-scale data centres being build. A modern data centre has become a very complex system with a multitude of interconnected hardware resources that is hard to manage in an autonomic and cost-effective manner. This thesis presents novel techniques, models and software for estimating the impact of data centre planning decisions on Total Cost of Ownership. The use of a Discrete Event Simulation (DES) framework as a decision support tool is proposed for understanding operational efficiencies and the financial implications of different cloud resource management techniques and different hardware components. Based on a detailed assessment of the current state of cloud simulation tools, resource management techniques and cost models available for data centre management, an on-the-fly compilation of simulation models for large-scale cloud data centres has been proposed and delivered. This enables an automated approach for extracting all required simulation modelling parameters from existing data centre monitoring tools, improving speed and usability of the simulation approach. A unique integration approach between a production grade cloud optimisation framework and an offline simulation analysis framework, enables direct simulation of cloud resource management policies allowing for experimentation of different "what-if" scenarios using existing production tooling. An improved set of cost models were developed alongside the simulation framework which are capable of calculating costs based on time series data produced by the simulation framework. Thus, taking into account resource management policy effects and enabling a more granular overview of costs when compared to traditional TCO calculation approaches. The simulation framework implementation was validated using real case study data. In addition, the practical use of the proposed cloud data centre decision support approach is demonstrated through presentation of an extended case example, estimating and planning for the impact of a data centre hardware upgrade and resultant system performance and costs.
As computation continues to move into the cloud, the computing platform of interest no longer resembles a pizza box or a refrigerator, but a warehouse full of computers. These new large datacenters are quite different from traditional hosting facilities of earlier times and cannot be viewed simply as a collection of co-located servers. Large portions of the hardware and software resources in these facilities must work in concert to efficiently deliver good levels of Internet service performance, something that can only be achieved by a holistic approach to their design and deployment. In other words, we must treat the datacenter itself as one massive warehouse-scale computer (WSe. We describe the architecture of WSCs, the main factors influencing their design, operation, and cost structure, and the characteristics of their software base. We hope it will be useful to architects and programmers of today's WSCs, as well as those of future many-core platforms which may one day implement the equivalent of today's WSCs on a single board. Table of Contents: Introduction / Workloads and Software Infrastructure / Hardware Building Blocks / Datacenter Basics / Energy and Power Efficiency / Modeling Costs / Dealing with Failures and Repairs / Closing Remarks
This handbook offers a comprehensive overview of cloud computing security technology and implementation, while exploring practical solutions to a wide range of cloud computing security issues. With more organizations using cloud computing and cloud providers for data operations, proper security in these and other potentially vulnerable areas have become a priority for organizations of all sizes across the globe. Research efforts from both academia and industry in all security aspects related to cloud computing are gathered within one reference guide.