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The Complete Guide to Human Resources and the Law will help you navigate complex and potentially costly Human Resources issues. You'll know what to do (and what not to do) to avoid costly mistakes or oversights, confront HR problems - legally and effectively - and understand the rules. The Complete Guide to Human Resources and the Law offers fast, dependable, plain English legal guidance for HR-related situations from ADA accommodation, diversity training, and privacy issues to hiring and termination, employee benefit plans, compensation, and recordkeeping. It brings you the most up-to-date information as well as practical tips and checklists in a well-organized, easy-to-use resource. Previous Edition: Complete Guide to Human Resources and the Law, 2018 Edition ISBN 9781454899945
Recordkeeping in International Organizations offers an important treatment of international organizations from a recordkeeping perspective, while also illustrating how recordkeeping can play a vital role in our efforts to improve global social conditions. Demonstrating that organizations have both a responsibility and an incentive to effectively manage their records in order to make informed decisions, remain accountable to stakeholders, and preserve institutional history, the book offers practical insights and critical reflections on the effective management, protection, and archiving of records. Through policy advice, surveys, mind mapping, case studies, and strategic reflections, the book provides guidance in the areas of archives, records, and information management for the future. Among the topics addressed are educational requirements for recordkeeping professionals, communication policies, data protection and privacy, cloud computing, classification and declassification policies, artificial intelligence, risk management, enterprise architecture, and the concepts of extraterritoriality and inviolability of archives. The book also offers perspectives on how digital recordkeeping can support the UN’s 2030 Agenda for Sustainable Development, and the accompanying Sustainable Development Goals (SDGs). Recordkeeping in International Organizations will be essential reading for records and archives professionals, information technology, legal, security, management, and leadership staff, including chief information officers. The book should also be of interest to students and scholars engaged in the study of records, archives, and information management, information technology, information security, and law. Chapters 7 and 9 of this book are freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA) 4.0 license
Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing tools and techniques across a range of computing environments. The book begins by discussing the basic concepts and tools of large-scale Big Data processing and cloud computing. It also provides an overview of different programming models and cloud-based deployment models. The book’s second section examines the usage of advanced Big Data processing techniques in different domains, including semantic web, graph processing, and stream processing. The third section discusses advanced topics of Big Data processing such as consistency management, privacy, and security. Supplying a comprehensive summary from both the research and applied perspectives, the book covers recent research discoveries and applications, making it an ideal reference for a wide range of audiences, including researchers and academics working on databases, data mining, and web scale data processing. After reading this book, you will gain a fundamental understanding of how to use Big Data-processing tools and techniques effectively across application domains. Coverage includes cloud data management architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link analysis of big data, scalable data mining, and machine learning techniques.
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.
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 extreme transformation from a traditional Communication Service Provider (CSP) to a Digital Service Provider (DSP) status is covered in this book, specifically: Redefinition of the offerings of "connectivity services" to "digital services"; unification of legacy redundant networks into one; Redefinition of the measurements to customer-centric QoE for all digital and connectivity services; the Best-in-Industry processes and practices to ensure a sustainable network performance at a competitively operational efficiency; a Service-over-IP (SoIP) platform to enable the introduction of unified new services with a time-to-market urgency; the regulatory arrangement for content purification, to liberalize CSPs to become DSPs; an architecture for data mining and analytics; and a migration plan from a CSP to a DSP status. The book is recommended for telecom and digital service professionals planning to embark on transformational projects; telecom and technology equipment manufacturers to help with product development for a DSP status; institutional investors to evaluate and establish their investment decisions; telecom management consultants to help with a solid benchmark for transformation engagement; university students, majoring in telecommunication and technology products as a guide for career planning.
Prepare for the future of cloud infrastructure: Distributed Services Platforms By moving service modules closer to applications, Distributed Services (DS) Platforms will future-proof cloud architectures—improving performance, responsiveness, observability, and troubleshooting. Network pioneer Silvano Gai demonstrates DS Platforms’ remarkable capabilities and guides you through implementing them in diverse hardware. Focusing on business benefits throughout, Gai shows how to provide essential shared services such as segment routing, NAT, firewall, micro-segmentation, load balancing, SSL/TLS termination, VPNs, RDMA, and storage—including storage compression and encryption. He also compares three leading hardware-based approaches—Sea of Processors, FPGAs, and ASICs—preparing you to evaluate solutions, ask the right questions, and plan strategies for your environment. Understand the business drivers behind DS Platforms, and the value they offer See how modern network design and virtualization create a foundation for DS Platforms Achieve unprecedented scale through domain-specific hardware, standardized functionalities, and granular distribution Compare advantages and disadvantages of each leading hardware approach to DS Platforms Learn how P4 Domain-Specific Language and architecture enable high-performance, low-power ASICs that are data-plane-programmable at runtime Distribute cloud security services, including firewalls, encryption, key management, and VPNs Implement distributed storage and RDMA services in large-scale cloud networks Utilize Distributed Services Cards to offload networking processing from host CPUs Explore the newest DS Platform management architectures Building a Future-Proof Cloud Architecture is for network, cloud, application, and storage engineers, security experts, and every technology professional who wants to succeed with tomorrow’s most advanced service architectures.
In the world of internet, wide adoption of computing devices dramatically reduces storage costs with easy access to huge amount of data, thus posing benefits and challenges to e-business amongst organizations.This unique compendium covers current status and practices of e-business among organizations, their challenges and future directions. It also includes studies of different perspectives and markets of e-business.The must-have volume will be a good reference text for professionals and organizations who are updating their e-business knowledge/skills and planning their e-business initiatives.
This revised and updated book explores the academics behind managing the complex service environment that is the Emergency Department (ED) by combining applied management science and practical experiences to create a model of how to improve operations. This book offers a presentation of Lean tools used in the ED along with basic and advanced flow principles. It then shows how these concepts are applied and why they work, supported by case studies in which Lean principles were used to transform an underperforming ED into a world-class operation. After reviewing best practices, the authors explain how to achieve excellence by discussing the elements of creating a culture of change.