mercredi févr. 26, 2014

Mobile World Congress in Barcelona: IoT, connected Cars…. and boats

I was wondering when I entered in the Exhibitors Halls, if I was really at the mobile world congress or at a World Wide Automotive Show. Nearly every booth has a car to demonstrate a mobile phone on wheels… But for Oracle: we do have a boat! We demonstrate how the usage of the 300 sensors embedded in the America’s Cup sailing boat, can drive real-time human decisions. Of course, this is one of the many use cases we do have. I won’t go through the entire list from communications, connected cars to smart grids, analytic and Cloud enable mobile applications. I will rather focus on a rather interesting embedded topic as the trend around IoT (Internet of Things) is huge.

I already touch on this during my last OOW blog. As we are in a (very) small world (i.e. the device can be very small), the BOM (bill of material) needs to be at the right price, the right energy consumption and provide a very long life cycle: you don’t want your car to break after one year, or to face complex upgrades every 6 months and be connected (physically) with your repair shop too often. That’s where Java comes into play, because it provides the right footprint, management and life cycle. The new thing we are showing today is Java TEE (Trusted Execution Environment) integrated in hardware. This brings security inside the device by providing a secure store for your keys. As security is a major concern in IoT, especially for large industrial projects like connected Cars, Smart Grid, Smart Energy or even Healthcare. You don’t want your devices to be temper, either for 1) safety reason or 2) frauds. And Java is very good in all IoT uses cases, even for stronger security requirement, that for example, Gemalto is implementing with it.

To help you get there, Gemalto's Cinterion concept board enables you to quickly prototype your embedded devices and connect them securely (even your dart board)...


On the other side of those devices, you have you!…. That needs to make enrich decisions… That’s where data (and analytics) comes into play. And for this part, I invite you to join us in Paris, on March 19th on a special event around Data Challenges for Business. Ganesh Ramamurthy, Oracle VP Software Development in our Engineering System group will be with us to explain what Oracle Systems brings to manage and analyze all your Data. He will be with Cofely Services - GDF Suez, Bouygues Telecom and Centre Hospitalier de Douai, who will share their experiences.

dimanche sept. 29, 2013

#OOW2013: Internet of Things... and Big Data

As promised in my first entry few weeks ago, in preparing Oracle OpenWorld, I am coming back to IoT: Internet of Things... and Big Data. As this was the closing topic develop by Edward Screven, Chris Baker and Deutche Telekom, Dr. Thomas Kiessling. Of course, Big Data and Internet of Things (or M2M - Machine2Machine) have been topics not only covered the last day, but all along the conference, including in JavaOne, with 2 interesting sessions from Gemalto. Gemalto even developed a kit to test your own use cases for M2M. Internet of Things is opening new opportunities but also challenges to overcome to get it right, that at Oracle we classify in 3 categories : Acquire & Transmit, Integrate & Secure, and Analyze & Act.

Acquire & Transmit

Just think of potentially billions of devices that you need to remotely deploy, maintain, update, insure proper transmission of data (the right data at the right time - as your power budget is constrain) and even extend decision making closer to the source. With standards-based Java platform optimized for devices, we are already covering today all those requirements, and are already involved in major Internet of Things projects, like the Smart Grids or Connected Cars.

Integrate & Secure

Of course integrating -securely- all the pieces together is key. As you want it 1) to reliably work with potentially a very large amount of devices and 2) not be compromised by any means. Here again, at the device level, Java is providing the intrinsic security functions that you need, from secure code loading, verification, and execution, confidentiality of data handling, storage, and communication, up to authentication of entities involved in secure operations. And we are driving this secured integration up to the Datacenter, thanks to our comprehensive Identity and Access Management system, up to Data masking, fraud detection, and built-in network security and encryption.

Analyze & Act

Last but not least, is to analyze and correlate those Data and take appropriate actions. This is where M2M and Internet of Things link to Big Data. There are different things that characterize "Big Data" : Volume, Velocity (time & speed), Variety (data format), Value (what is really interesting in those data related to my business), Vizualization (how do I find something in this, of value ?), Veracity (insure that what I will add into my trusted data (DWH...) coming from those new sources is something validated. In M2M, we don't always have Volume, but we still have the other "Vs" to take care. To handle all this IoT generated information  inside the Datacenter, and do correlation with existing Data relevant to your customer business (being ERP, Supply Chain, quality tracking of supplier, improving purchasing process, etc...), you may need need tools. That's why Oracle developed the Oracle Big Data Appliance to build an "HPC for Data" grid including Hadoop & NoSQL to capture those IoT data, and Oracle Exalytics/Oracle Endeca Information Discovery, to enable the vizualisation/discovery phase. Once you pass the discovery phase we can act automatically in real time ! on the specific triggers that you will have identified, thanks to Oracle Event Processing solution.

Deliver

As you see, Oracle Internet of Things platform enables you to quickly develop and deliver, securely, an end-to-end solution.

The end result is a quick time-to-market for an M2M project like the one presented on stage and used live during the conference. This project was develop in 4 weeks, with 6 individuals ! The goal was to control the room capacity and in/out doors live control depending on the participants flow in the room. And as you can see in the architecture diagram we are effectively covering from Java on the device up to Exalytics in the Datacenter.

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Eric Bezille

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