Managing Big Data in Cloud Computing Environments

Managing Big Data in Cloud Computing Environments
ISBN-10
1466698357
ISBN-13
9781466698352
Category
Computers
Pages
314
Language
English
Published
2016-02-02
Publisher
IGI Global
Authors
MA, Zongmin

Description

Cloud computing has proven to be a successful paradigm of service-oriented computing, and has revolutionized the way computing infrastructures are abstracted and used. By means of cloud computing technology, massive data can be managed effectively and efficiently to support various aspects of problem solving and decision making. Managing Big Data in Cloud Computing Environments explores the latest advancements in the area of data management and analysis in the cloud. Providing timely, research-based information relating to data storage, sharing, extraction, and indexing in cloud systems, this publication is an ideal reference source for graduate students, IT specialists, researchers, and professionals working in the areas of data and knowledge engineering.

Similar books

  • Big Data Intelligence and Management in Cloud Computing Environments
    By Zongmin Ma, Li Yan

    "This book examines the technologies and applications of big data intelligence"--

  • Large Scale and Big Data: Processing and Management
    By Sherif Sakr, Mohamed Gaber

    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.

  • Machine Learning Approach for Cloud Data Analytics in IoT
    By Jyotir Moy Chatterjee, Sachi Nandan Mohanty, Suneeta Satpathy

    future research directions involving machine learning–deep learning in intelligent resource optimization and allocation techniques. Keywords: Blockchain, deep learning, resource optimization, mobile edge computing, IoT, ...

  • Resource Management and Efficiency in Cloud Computing Environments
    By Ashok Kumar, Sahoo, Turuk

    ... Handbook (pp. 605625). Morgan-Kaufmann, Inc. Katzmarzik, A. (2011). Product differentiation for software-as-a-service ... Big Data + politics = open data: The case of health care data in England. Policy & Internet, 5(2), 228–243. doi ...

  • Big Data Analytics and Cloud Computing: A Beginner's Guide
    By Syed Thouheed Ahmed, Syed Muzamil Basha, Sajeev Ram Arumugam

    Big data analytics and cloud computing is the fastest growing technologies in current era. This text book serves as a purpose in providing an understanding of big data principles and framework at the beginner?s level.

  • Big Data For Dummies
    By Judith S. Hurwitz, Alan Nugent, Fern Halper

    Implement discover how to implement your big data solution with an eye to operationalizing and protecting your data What it means see the importance of big data to your organization and how it's used to solve problems Open the book and find ...

  • Data-Intensive Workflow Management: For Clouds and Data-Intensive and Scalable Computing Environments
    By Ji Liu, Daniel C. M. de Oliveira, Esther Pacitti

    Titian [Interlandi et al., 2015] provides provenance support aimed at debugging Spark code. ... Whenever workflows invoke black-box applications that read or write raw files, all solutions mentionedabove are unable to gather, store, ...

  • Handbook of Research on Cloud Infrastructures for Big Data Analytics
    By Raj, Pethuru

    Cloud Storage can Drag Down Big Data Analysis The Cloud Storage challenges in big data analytics fall into two categories - Capacity and Performance. Scaling Capacity, from a platform perspective, is something all cloud providers need ...

  • Data-Intensive Workflow Management
    By Daniel Oliveira, Ji Liu, Esther Pacitti

    As such, this book can help researchers understand how linking workflow management with Data-Intensive Scalable Computing can help in understanding and analyzing scientific big data.

  • Internet of Things and Big Data Analytics Toward Next-Generation Intelligence
    By Nilanjan Dey, Suresh Chandra Satapathy, Aboul Ella Hassanien

    In this section discusses a brief overview of the localization methods used by some researchers. Under mobile node localization, Ref. [66] proposed a system appropriate for the real environment in moving both anchors and unknown nodes.