IoT and the Data Center: Tuning up Data Centers to Handle the Volumes Generated by IoT

DICK WEISINGER | March 1, 2016

article image
The Internet of Things isn’t a fad.  Gartner predicts that the 5 billion devices connected to the Internet in 2015 will grow by a factor of five by 2020 to 25 billion, and Forrester estimates that more than 82 percent of businesses will be developing IoT applications by 2017.In order to support the rapid growth of IoT, the data centers that will communicate with and collect data from devices will need to change in character from those of today.  Data centers will need to become more flexible and dynamic.

Spotlight

Anblicks

Anblicks employs more than 400 technology professionals and over 100 data analysts and data science experts. With a focus on Logistics, Healthcare, BFSI and Retail industries, Anblicks continues to drive technology innovation while providing customers with world-class levels of services and support.

OTHER ARTICLES

The IoT Smarthome Battlefield: A Jointly Endorsed IoT Standard for the Home Area Network

Article | February 12, 2020

Google announced that together with Amazon and Apple (the big 3 smart home players) they will work on the adoption of a joint wireless IoT standard for the smart home. This new connectivity standard is designed to make it easier for smart home products to work with each other.In the statement, Google said they were “joining Amazon, Apple and others to create Connected Home over IP, a new independent working group managed by the Zigbee Alliance (separate from the existing Zigbee 3.0/Pro protocol). We’re contributing two of our market-tested and open-source smart home technologies, Weave and Thread. Both are built on IP and have been integrated into millions of homes around the world.”

Read More

Microsoft Introduces Seamless Integration of Azure IoT with Cisco IoT

Article | March 5, 2020

An integrated Azure IoT solution provides the necessary software, hardware, and cloud services that businesses need to rapidly launch IoT initiatives and quickly realize business value. Using software-based intelligence pre-loaded onto Cisco IoT network devices, telemetry data pipelines from industry-standard protocols, like OPC-Unified Architecture (OPC-UA) and Modbus, can be easily established using a UI directly into Azure IoT Hub. Services, like Microsoft Azure Stream Analytics, Microsoft Azure Machine Learning, and Microsoft Azure Notification Hub services, can be used to build IoT applications for the enterprise. Additional telemetry processing is also supported by Cisco through local scripts developed in Microsoft Visual Studio, where filtered data can also be uploaded directly into Azure IoT Hub. This collaboration provides customers with a fully integrated solution that will give access to design tools, global connectivity, advance analytics, and cognitive services for analyzing IoT data.

Read More

Emerging Technologies in the Pandemic Crisis: 10 Use Cases and Future Outlook

Article | April 9, 2020

As professionals in the emerging tech space, we are well aware of the many benefits of the Internet of Things (IoT), augmented and virtual reality (AR, VR), artificial intelligence (AI), and drones and robotics. Therefore, we cannot help but wonder: What if most of the emerging technologies were widely available already now that we are going through the COVID-19 pandemic? How much different the fight would be today? If anything, they would have kept us better prepared to combat the virus outbreak and go through it with minimum sacrifices of our jobs and daily lives. We have identified ten such use cases that can help humanity progress today and in the coming months or years.

Read More

How Will the Emergence of 5G Affect Federated Learning?

Article | April 10, 2020

As development teams race to build out AI tools, it is becoming increasingly common to train algorithms on edge devices. Federated learning, a subset of distributed machine learning, is a relatively new approach that allows companies to improve their AI tools without explicitly accessing raw user data. Conceived by Google in 2017, federated learning is a decentralized learning model through which algorithms are trained on edge devices. In regard to Google’s “on-device machine learning” approach, the search giant pushed their predictive text algorithm to Android devices, aggregated the data and sent a summary of the new knowledge back to a central server. To protect the integrity of the user data, this data was either delivered via homomorphic encryption or differential privacy, which is the practice of adding noise to the data in order to obfuscate the results.

Read More

Spotlight

Anblicks

Anblicks employs more than 400 technology professionals and over 100 data analysts and data science experts. With a focus on Logistics, Healthcare, BFSI and Retail industries, Anblicks continues to drive technology innovation while providing customers with world-class levels of services and support.

Events