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