New WSO2 White Paper Examines How to Use Analytics to Architect IoT Solutions

Share Article

Paper discusses how to address common requirements for conducting IoT analytics, such as time series processing, spatiotemporal analysis, and anomaly detection.

WSO2 delivers the only fully integrated open source enterprise middleware platform to support today’s enterprise environments—internally and across the cloud, mobile devices, and Internet of Things.

Extracting timely, meaningful data from IoT devices often presents a roadblock to enabling digital transformations.

The Internet of Things (IoT) is a pathway for improving customer service, enhancing operations, and creating new business models. However, extracting timely, meaningful data from IoT devices often presents a roadblock to enabling these digital transformations. WSO2 has published a new white paper that examines how IoT designers and architects can address this challenge by using big data analytics in a distributed, event-driven model.

Big Data Analytics in IoT

The white paper, “IoT Analytics: Using Big Data To Architect IoT Solutions,” was written by WSO2 Vice President of Research Dr. Srinath Perera. He begins by discussing how to identify the varying requirements of an IoT system, such as, how fast results are needed and how much data must be kept.

Srinath then explores common requirements for conducting IoT analytics, such as time series processing, spatiotemporal analysis and forecasts, and anomaly detection. He also discusses how to act on IoT data, including:

  •     Visualizing IoT data.
  •     Using data to detect problems.
  •     Performing independent actions based on the data received.
  •     Employing data to continuously monitor and control the environment.

Next, Srinath explains the differences between two IoT use cases: stationary dot (monitoring an already deployed system in operation) and moving dot (understanding and controlling the behavior of a system). He then discusses how an integrated, ready-to-go analytics solution can help both scenarios. Srinath concludes by discussing how the recently launched WSO2 Data Analytics Server 3.0, WSO2’s high-performance analytics platform, combines real-time and batch analysis with analytics at the edge and predictive analytics via machine learning to support the multiple demands of IoT solutions.

The white paper can be downloaded at http://wso2.com/whitepapers/iot-analytics-using-big-data-to-architect-iot-solutions.

About the Author

Dr. Srinath Perera, WSO2 vice president of research, oversees the overall WSO2 platform architecture, where he specializes in Web services and distributed systems, specifically working with aspects of data, scale and performance. He is a co-founder of Apache Axis2, a member of the Apache Software Foundation (ASF) and the Apache Web Service Project Management Committee (PMC). In addition to numerous research papers, Srinath has published many peer-reviewed technical articles in Jax Magazine, IBM developerWorks, Developer.com, and O'REILLY OnJava.

About WSO2

WSO2 uniquely delivers on the promise of the connected business. It offers the only completely integrated enterprise platform that enables businesses to build, integrate, manage, secure and analyze their APIs, applications, and Web services—on-premises, in the cloud, on mobile devices, and across the Internet of Things. Leading enterprise customers worldwide rely on WSO2’s award-winning 100% open source platform and its robust performance and governance for their mission-critical applications. Today, these businesses represent nearly every sector: health, financial, retail, logistics, manufacturing, travel, technology, telecom and more. Visit http://wso2.com to learn more, or check out the WSO2 community on the WSO2 Blog, Twitter, LinkedIn, and Facebook.

Trademarks and registered trademarks are the properties of their respective owners.

Share article on social media or email:

View article via:

Pdf Print

Contact Author

Rebecca Hurst
Visit website