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IoTBDA CRC press Call for book chapters 2019 : The Internet of Things and Big Data Analytics : Integrated Platforms and Industry Use Cases

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When Jan 1, 2019 - Jun 30, 2019
Where India
Abstract Registration Due Feb 10, 2019
Submission Deadline May 10, 2019
Notification Due Jun 30, 2019
Final Version Due Jun 30, 2019
Categories    big data   IOT   big data analytics   internet of things
 

Call For Papers


CALL FOR BOOK CHAPTERS

BOOK TITLE: The Internet of Things and Big Data Analytics : Integrated Platforms and Industry Use Cases

Table of Contents:

The meticulous collection of IoT data and subjecting them to a variety of investigations leveraging integrated data analytics platforms, machine and deep learning algorithms are bound to produce a lot of actionable insights, which can be looped back to IoT devices and services to bring forth scores of smarter and sophisticated applications across industry verticals.

The topics to be included in the edited book (but not limited to),

• Chapter 1 - Taxonomy of Big data and analytics solutions for Internet of Things: Big Data Sources, System Components, Big Data enabling Technologies, Functional Elements, Analytics Type.

• Chapter 2 - Performing Big Data Preparation and Exploration: Data Preprocessing and Data wrangling techniques for IoT: Challenges, opportunities and use-cases

• Chapter 3 - Public cloud enterprise IoT environment :Big data platforms and Big data analytics software viz, Amazon Web Service, Google BigQuery, Microsoft Azure, Google Bigdata, IBM Big data, Oracle Big data Analytics, etc…...

• Chapter 4 - IoT-Big Data systems (IoTBDs) enabling Technologies: Ubiquitous Wireless Communication, Real-Time Analytics, Machine Learning, Deep Learning, Commodity Sensors

• Chapter 5 - Distinctive attributes of Big data platform and Big data analytics software for IoT:
Data Ingestion, Data Management, ETL and Warehouse, Hadoop system, Stream computing, Analytics / Machine Learning, Content Management, Integration, Data Governance.

• Chapter 6 - Big data Application Architectures for IoT: IoT Reference Architecture; Device Connectivity options; Device stores; Device identity, registry and state stores; Device Provisioning; Stream Processors and Processing; High-Scale compute models; Cortan Intelligence Suite Use-cases.

• Chapter 7 - Algorithms for Big Data delivery over Internet of Things: IoT/WSN/CC; IoT Connections and Networks for Big Data; IoT Protocols, Standards and Communication Technologies; Energy efficiency solution; efficient transmission algorithms; Secure communication.

• Chapter 8 - IoT-Based Big Data Storage Systems – Perspectives and Challenges: Functional framework of Cloud based IoT Applications - Acquisition, Management, Processing and Mining areas of IoT big data; Characteristics of Cloud IoT data – Multisource High heterogeneity data, Huge Scale Dynamic Data, Low Level with Weak Semantic Data.

• Chapter 9 - Key Technologies enabling Big Data Analytics for IoT: Predictive Analytics, NoSQL Databases, Knowledge Discovery Tools, Stream Analytics, In-memory Data Fabric, Distributed Storage, Data Virtualization, Data Integration, Data Preprocessing, Data Quality.

• Chapter 10 - IoT Data Visualization Tools and Techniques: Static and Streaming Data Visualization; Device Log Visualization; Natural Language Data Query; Decision Making; Tools – Tableau, PowerBI, Grafana, Kibana, ElasticSearch, etc…

• Chapter 11 - Data Science for IoT Analytics: Machine Learning, Generalization, Feature Engineering with IoT Data, Validation Methods, Using R Language.

• Chapter 12 - Big Data Programming Models for IoT Data: MapReduce - MapReduce, Hadoop; Functional – Spark, Flink; SQL-Based – HiveQL, CasandraQL, SparkSQL, Drill, Presto, Impala; Actor – Akka, Storm, S4; Statistical and Analytical – R, Mahout; Dataflow – Oozie, Dryad; BSP - Giraph, Hama; High-level DSL – Pig Latin, Crunch, Cascading, LINQ, Trident, Green Marl, AQL, Jaql.

• Chapter 13 - IoTBDs Applications: Smart Transportation, Smart Healthcare, Smart Grid, Smart Inventory System, Smart Cities, Smart Manufacturing, Smart Retail, Smart Agriculture, etc.

• Chapter 14 - Big Data Management Solutions for IoT – Case Studies: Connected cars works with several IoT data created and being processed for functioning.



Guest Editors:
Pethuru Raj, Ph.D
Reliance Jio Infocomm. Ltd. (RJIL),
Bangalore, India.

T.Poongodi, Ph.D
School of Computing Science and Engineering,
Galgotias University, India.

B.Balamurugan, Ph.D
School of Computing Science and Engineering,
Galgotias University, India.

Manju Khari, Ph.D
CSE Department,
Ambedkar Institute of Advanced Communication Technologies & Research, Delhi, India.

Important Dates:
1. Page write-up (Abstract with Title and TOC): 10th February, 2019
2. Preliminary Acceptance Notification: 25th February, 2019
3. Full Chapter Submission: 10th May, 2019
4. Revised Chapter Submission: 10th June, 2019
5. Acceptance Notification: 30th June, 2019

Submission Link:
https://easychair.org/conferences/?conf=iotbda-2019


Please submit your one page write up (with abstract of 400 – 500 words and 6 keywords) of the chapter along with tentative Table of Contents) using the above link.

Upon acceptance of the proposal, instructions for submission guidelines according to the CRC Press will be communicated.

No Publication charges .

For any Clarification, Please Contact:

Dr.T.Poongodi, Mail-id: tpoongodi2730@gmail.com

Please submit your unpublished and novel research work using the above easychair link.

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