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Fujitsu Laboratories Announces New Data Compaction Technology
Reduces Resource Requirements to Implement and Execute Data Exchanges between WoT (Web of Things) Devices
Fujitsu Laboratories of America Inc.
As more and more IoT devices embrace Web technologies, W3C (World-Wide-Web Consortium) launched WoT (Web-of-Things) Working Group with a goal to provide Web-layer interoperability between IoT systems. WoT implementations are applied to both traditional IoT configurations via gateways to cloud, as well as direct, autonomous interworking among heterogeneous devices. Most WoT implementations are expected to be executed in embedded systems such as microcontrollers.
Interactions between decentralized, autonomous WoT devices using efficient binary encoding of JSON data
The new technology developed by FLA reduces the amount of resources required for implementation and execution of JSON data. This includes reducing the power consumption and compute cycles used to implement the parser, and the memory used to exchange and process the messages. Both of which are critical for devices implementing WoT, and to broaden the coverage of devices embedded with WoT implementations.
“The exponential rise of IoT devices around us requires efficient data compacting technologies”, said Masayuki Kato, CEO, Fujitsu Laboratories of America. “While some IoT devices may have the processing power to handle text-based bulky JSON data, the key to enabling scalability is supporting devices with lower resources”.
The new technology developed by FLA makes the encoding of JSON data much more efficient than those existing binary JSON encodings. Initial laboratory benchmarks have shown that the new technology can compact a 206 byte HR record data 2.21 times, 226 byte double record sensor data 1.6 times, and even in one of the extreme cases where content density (the ratio between text and markup) is extremely high, 92 byte sensor record 1.24 times better than CBOR.
Users can define schemas to describe the structural and data value constraints, and use the schemas to validate JSON data to guarantee data quality. By leveraging knowledge available in the schemas, this technology enables a degree of encoding compactness that was not possible with prior binary JSON encodings. Schema-based approach also allows implementations to generate code of smaller footprint, which is conducive to greater coverage of IoT devices.
Fujitsu is the leading Japanese information and communication technology (ICT) company offering a full range of technology products, solutions and services. Approximately 155,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. Fujitsu Limited (TSE: 6702) reported consolidated revenues of 4.5 trillion yen (US$40 billion) for the fiscal year ended March 31, 2017. For more information, please see http://www.fujitsu.com.
About Fujitsu Laboratories of America, Inc.
Fujitsu Laboratories of America, Inc. is a wholly owned subsidiary of Fujitsu Laboratories Ltd. (Japan), focusing on research in novel computing, networking technologies, software development and solutions for several industry verticals. Conducting research in an open environment, it contributes to the global research community and the IT industry. It is headquartered in Sunnyvale, CA.
For more information, please see: www.fla.fujitsu.com
Press Contact - FLA
Company:Fujitsu Laboratories of America, Inc.
Fujitsu, the Fujitsu logo and “shaping tomorrow with you” are trademarks or registered trademarks of Fujitsu Limited in the United States and other countries. All other company or product names mentioned herein are trademarks or registered trademarks of their respective owners. Information provided in this press release is accurate at time of publication and is subject to change without advance notice.
Date: March 31, 2017
City: Sunnyvale, CA
Fujitsu Laboratories of America, Inc.