Zaigham Mahmood Livres

This book describes cloud computing as a service that is "highly scalable" and operates in "a resilient environment". The authors emphasize architectural layers and models - but also business and security factors.

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.

This book captures the state of the art in cloud technologies, infrastructures, and service delivery and deployment models. The work provides guidance and case studies on the development of cloud-based services and infrastructures from an international selection of expert researchers and practitioners. Features: presents a focus on security and access control mechanisms for cloud environments, analyses standards and brokerage services, and investigates the role of certification for cloud adoption; evaluates cloud ERP, suggests a framework for implementing “big data” science, and proposes an approach for cloud interoperability; reviews existing elasticity management solutions, discusses the relationship between cloud management and governance, and describes the development of a cloud service capability assessment model; examines cloud applications in higher education, including the use of knowledge-as-a-service in the provision of education, and cloud-based e-learning for students with disabilities.

This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners from around the world, discussing research developments and emerging trends, presenting case studies on helpful frameworks and innovative methodologies, and suggesting best practices for efficient and effective data analytics. Features: reviews a framework for fast data applications, a technique for complex event processing, and agglomerative approaches for the partitioning of networks; introduces a unified approach to data modeling and management, and a distributed computing perspective on interfacing physical and cyber worlds; presents techniques for machine learning for big data, and identifying duplicate records in data repositories; examines enabling technologies and tools for data mining; proposes frameworks for data extraction, and adaptive decision making and social media analysis.

This unique volume delves into advanced management strategies for developing complex software that is efficient, scalable, sustainable, and well-suited for distributed environments. It features practical insights from an international array of leading experts, including case studies, best practices, and comprehensive corporate analyses. The focus is on utilizing the latest software technologies and frameworks throughout the software development life cycle, covering design, implementation, and testing stages. Key topics include approaches for reusability, cost and time estimation, and functional size measurement of distributed software applications. It discusses the essential characteristics of large-scale defense systems and the design of software project management (SPM) as a service. The text introduces the 3PR framework, research on crowdsourcing software development, and innovative modeling approaches for large-scale multi-agent systems. It also examines system architecture for ambient assisted living, cloud migration, and management assessment. Furthermore, it describes a software error proneness mechanism, a novel Scrum process for the defense sector, and an ontology annotation for SPM in distributed environments. The benefits of agile project management for higher education and the integration of software and data engineering in SPM are also explored. This essential text is crucial for project managers and software engi

This timely volume reviews state-of-the-art frameworks and methodologies for connecting diverse objects and devices in the context of the Internet of Things (IoT). It specifically focuses on communication, security, and privacy aspects of device connectivity in distributed environments. Contributions from renowned experts provide insights and case studies on the latest research advances and practical approaches to connecting heterogeneous smart and sensory devices. Key topics include device connectivity within the IoT, a resource-based architecture for IoT, and a resource management framework for corporate device clouds. The book also explores integration approaches for IoT environments and discusses performance optimization for intelligent home networks. Additionally, it introduces a novel solution for interoperable data management in multi-clouds and addresses network neutrality debates in the IoT. Issues of data security, privacy, access control, and authentication in distributed IoT environments are also examined. The evolution of VANETs in relation to the Internet of Vehicles and perspectives on developing smart sustainable cities are discussed. This invaluable text/reference will benefit a wide audience, from students and researchers interested in the IoT vision to practicing communication engineers and network security specialists.