Software Architecture for Big Data and the Cloud

Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors. Discusses systematic and disciplined approaches to building software architectures for cloud and big data with state-of-the-art methods and techniques Presents case studies involving enterprise, business, and government service deployment of big data applications Shares guidance on theory, frameworks, methodologies, and architecture for cloud and big data

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  • Author : Ivan Mistrik
  • Publisher : Morgan Kaufmann
  • Pages : 470 pages
  • ISBN : 0128093382
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKSoftware Architecture for Big Data and the Cloud

Software Architecture for Big Data and the Cloud

Software Architecture for Big Data and the Cloud
  • Author : Ivan Mistrik,Rami Bahsoon,Nour Ali,Maritta Heisel,Bruce Maxim
  • Publisher : Morgan Kaufmann
  • Release : 12 June 2017
GET THIS BOOKSoftware Architecture for Big Data and the Cloud

Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied

Cloud Computing and Big Data: Technologies, Applications and Security

Cloud Computing and Big Data: Technologies, Applications and Security
  • Author : Mostapha Zbakh,Mohammed Essaaidi,Pierre Manneback,Chunming Rong
  • Publisher : Springer
  • Release : 01 September 2018
GET THIS BOOKCloud Computing and Big Data: Technologies, Applications and Security

This book addresses topics related to cloud and Big Data technologies, architecture and applications including distributed computing and data centers, cloud infrastructure and security, and end-user services. The majority of the book is devoted to the security aspects of cloud computing and Big Data. Cloud computing, which can be seen as any subscription-based or pay-per-use service that extends the Internet’s existing capabilities, has gained considerable attention from both academia and the IT industry as a new infrastructure requiring smaller

Handbook of Research on Cloud Computing and Big Data Applications in IoT

Handbook of Research on Cloud Computing and Big Data Applications in IoT
  • Author : Gupta, B. B.,Agrawal, Dharma P.
  • Publisher : IGI Global
  • Release : 12 April 2019
GET THIS BOOKHandbook of Research on Cloud Computing and Big Data Applications in IoT

Today, cloud computing, big data, and the internet of things (IoT) are becoming indubitable parts of modern information and communication systems. They cover not only information and communication technology but also all types of systems in society including within the realms of business, finance, industry, manufacturing, and management. Therefore, it is critical to remain up-to-date on the latest advancements and applications, as well as current issues and challenges. The Handbook of Research on Cloud Computing and Big Data Applications in

Big-Data Analytics for Cloud, IoT and Cognitive Computing

Big-Data Analytics for Cloud, IoT and Cognitive Computing
  • Author : Kai Hwang,Min Chen
  • Publisher : John Wiley & Sons
  • Release : 17 March 2017
GET THIS BOOKBig-Data Analytics for Cloud, IoT and Cognitive Computing

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing,

Big Data Analytics for Sensor-Network Collected Intelligence

Big Data Analytics for Sensor-Network Collected Intelligence
  • Author : Hui-Huang Hsu,Chuan-Yu Chang,Ching-Hsien Hsu
  • Publisher : Morgan Kaufmann
  • Release : 02 February 2017
GET THIS BOOKBig Data Analytics for Sensor-Network Collected Intelligence

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people’s behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed

New Contributions in Information Systems and Technologies

New Contributions in Information Systems and Technologies
  • Author : Alvaro Rocha,Ana Maria Correia,Sandra Costanzo,Luis Paulo Reis
  • Publisher : Springer
  • Release : 25 March 2015
GET THIS BOOKNew Contributions in Information Systems and Technologies

This book contains a selection of articles from The 2015 World Conference on Information Systems and Technologies (WorldCIST'15), held between the 1st and 3rd of April in Funchal, Madeira, Portugal, a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, technological development and applications. The main topics covered are: Information and Knowledge Management; Organizational Models and Information Systems; Intelligent and Decision Support Systems;

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications
  • Author : Arun Kumar Sangaiah,Zhiyong Zhang,Michael Sheng
  • Publisher : Academic Press
  • Release : 21 August 2018
GET THIS BOOKComputational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view

Designing Data-Intensive Applications

Designing Data-Intensive Applications
  • Author : Martin Kleppmann
  • Publisher : "O'Reilly Media, Inc."
  • Release : 16 March 2017
GET THIS BOOKDesigning Data-Intensive Applications

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape

Big-Data Analytics for Cloud, IoT and Cognitive Computing

Big-Data Analytics for Cloud, IoT and Cognitive Computing
  • Author : Kai Hwang,Min Chen
  • Publisher : John Wiley & Sons
  • Release : 14 August 2017
GET THIS BOOKBig-Data Analytics for Cloud, IoT and Cognitive Computing

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing,

Building Big Data Applications

Building Big Data Applications
  • Author : Krish Krishnan
  • Publisher : Academic Press
  • Release : 15 November 2019
GET THIS BOOKBuilding Big Data Applications

Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data warehouse. It provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing. Readers will learn about infrastructure options and integration and come away with a solid understanding on how to leverage various architectures for integration. The book includes a wide range of use cases that will help data

Cloud Application Architectures

Cloud Application Architectures
  • Author : George Reese
  • Publisher : "O'Reilly Media, Inc."
  • Release : 01 April 2009
GET THIS BOOKCloud Application Architectures

If you're involved in planning IT infrastructure as a network or system architect, system administrator, or developer, this book will help you adapt your skills to work with these highly scalable, highly redundant infrastructure services. While analysts hotly debate the advantages and risks of cloud computing, IT staff and programmers are left to determine whether and how to put their applications into these virtualized services. Cloud Application Architectures provides answers -- and critical guidance -- on issues of cost, availability,

Big Data Application Architecture Q&A

Big Data Application Architecture Q&A
  • Author : Nitin Sawant,Himanshu Shah
  • Publisher : Apress
  • Release : 24 January 2014
GET THIS BOOKBig Data Application Architecture Q&A

Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the problem at hand. In the process of reading through these problems, you will learn harness the power of new big data opportunities which various enterprises use to attain real-time profits. Big Data Application Architecture Pattern Recipes answers one of the most

Big Data

Big Data
  • Author : Balamurugan Balusamy,Nandhini Abirami R,Seifedine Kadry,Amir H. Gandomi
  • Publisher : John Wiley & Sons
  • Release : 15 March 2021
GET THIS BOOKBig Data

Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, “Big Data,” the book moves on to discuss every stage of the lifecycle of Big Data. You’ll learn about

Modern Big Data Architectures

Modern Big Data Architectures
  • Author : Dominik Ryzko
  • Publisher : John Wiley & Sons
  • Release : 09 April 2020
GET THIS BOOKModern Big Data Architectures

Provides an up-to-date analysis of big data and multi-agent systems The term Big Data refers to the cases, where data sets are too large or too complex for traditional data-processing software. With the spread of new concepts such as Edge Computing or the Internet of Things, production, processing and consumption of this data becomes more and more distributed. As a result, applications increasingly require multiple agents that can work together. A multi-agent system (MAS) is a self-organized computer system that

Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing

Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 25 January 2021
GET THIS BOOKResearch Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing

Distributed systems intertwine with our everyday lives. The benefits and current shortcomings of the underpinning technologies are experienced by a wide range of people and their smart devices. With the rise of large-scale IoT and similar distributed systems, cloud bursting technologies, and partial outsourcing solutions, private entities are encouraged to increase their efficiency and offer unparalleled availability and reliability to their users. The Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing is a vital reference