Infrastructure Management


Book Description

This edition demonstrates various infrastructure management tools and techniques for application to roads, bridges, airports, utility services, water and waste water facilities, parks, buildings, and sports complexes. It integrates planning, design, construction, maintenance, rehabilitation and renovation along with life-cycle, decision support systems, database management, analysis and modelling. Examples and case studies are included throughout.




It Infrastructure Architecture - Infrastructure Building Blocks and Concepts Second Edition


Book Description

For many decades, IT infrastructure has provided the foundation for successful application deployment. Yet, general knowledge of infrastructures is still not widespread. Experience shows that software developers, system administrators, and project managers often have little knowledge of the big influence IT infrastructures have on the performance, availability and security of software applications. This book explains the concepts, history, and implementation of IT infrastructures. Although many of books can be found on individual infrastructure building blocks, this is the first book to describe all of them: datacenters, servers, networks, storage, virtualization, operating systems, and end user devices. Whether you need an introduction to infrastructure technologies, a refresher course, or a study guide for a computer science class, you will find that the presented building blocks and concepts provide a solid foundation for understanding the complexity of today's IT infrastructures.




ICT Infrastructure Management


Book Description

This CD-ROM covers all aspects of information and communications technology infrastructure management (ICTIM). It provides a general framework based on best practice guidance for the design and planning, deployment, operational management and technical support of quality ICT services to meet business needs in a cost-effective manner. It is part of the ITIL Infrastructure Library series which is based on the experience of IT management approaches drawn from the commercial and public sectors worldwide. It is also available as a book (ISBN 0113308655).




Data Center Handbook


Book Description

Provides the fundamentals, technologies, and best practices in designing, constructing and managing mission critical, energy efficient data centers Organizations in need of high-speed connectivity and nonstop systems operations depend upon data centers for a range of deployment solutions. A data center is a facility used to house computer systems and associated components, such as telecommunications and storage systems. It generally includes multiple power sources, redundant data communications connections, environmental controls (e.g., air conditioning, fire suppression) and security devices. With contributions from an international list of experts, The Data Center Handbook instructs readers to: Prepare strategic plan that includes location plan, site selection, roadmap and capacity planning Design and build "green" data centers, with mission critical and energy-efficient infrastructure Apply best practices to reduce energy consumption and carbon emissions Apply IT technologies such as cloud and virtualization Manage data centers in order to sustain operations with minimum costs Prepare and practice disaster reovery and business continuity plan The book imparts essential knowledge needed to implement data center design and construction, apply IT technologies, and continually improve data center operations.




IT Systems Management


Book Description

The best-practice guide to managing IT infrastructures–now fully updated! IT Systems Management is an up-to-the-minute guide to maintaining stable, responsive IT production environments. Top IT systems management expert Rich Schiesser illuminates both the theoretical and practical aspects of systems management, using methods and examples drawn from decades of experience leading and consulting with the world’s most complex enterprise IT organizations. This thoroughly updated edition covers every systems management discipline and all elements of success: people, process, and technology. Schiesser shows how to apply best-practice system management throughout all IT infrastructure environments, from mainframe data centers to web-enabled systems, client/server and mid-range platforms to wireless and VoIP networks. Schiesser systematically addresses today’s most crucial issues, as well as emerging trends that will transform IT systems management. You’ll find an entirely new chapter on using IT Infrastructure Library (ITIL) effectively, plus new coverage ranging from managing outsourced functions to efficiently delivering “ultra-speed” Internet connections. This edition includes more real-life examples throughout, and new interactive problems designed to give IT professionals even deeper insight. Coverage includes: • Implementing bullet-proof processes in areas ranging from change management to production acceptance, capacity planning to storage • Optimizing the “people” components of IT service delivery, from customer service to executive support • Using technology to manage systems more efficiently and effectively • Systematically managing performance, availability, and business continuity • Reducing the cost and complexity of IT facilities management • Taking a more strategic approach to security Rich Schiesser founded and owns RWS Enterprises, Inc., a consultancy that specializes in designing and implementing world-class IT infrastructures. His client list has included The Weather Channel, Amazon.com, and DIRECTV. He has led major IT infrastructure organizations at Hughes Aircraft, the City of Los Angeles, and Twentieth Century Fox. For nearly ten years, he managed the primary data center at Northrop Grumman, one of the world’s most advanced computer facilities. A former University of Phoenix faculty member, he has taught IT management at UCLA and California State University, Los Angeles (CSULA). informit.com/ph







Architecting Itsm


Book Description

Up until now, no one has attempted to lay out the entire blueprint for architecting a complete IT service management supporting infrastructureuntil this book. What are the supporting toolsets and technologies that need to support an IT service management infrastructure? What databases need to be put into place? What are all the IT service management roles and responsibilities to effectively operate this infrastructure? What kinds of IT support services does almost any IT organization deliver? Get it all here. This book lists the CI types, toolset descriptions, detailed roles and activities, and much more. Get a firm handle on the data, functions, services, processes, organization, and technologies all needed to effectively build and operate a complete IT service management infrastructure. Explore approaches for reviewing and assessing your current toolsets, data, processes, and services. See where gaps might exist. Find areas that might be missing tools or have too many tools doing similar functions. Validate IT service management roles and activities. One can put together an entire IT service management operation just from the descriptions in this book! If I had to build a large IT infrastructure or data center from scratch, this book becomes my most critical reference!




Frontiers in Massive Data Analysis


Book Description

Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.