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    Editor's Pick (1 - 4 of 8)
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    Digital transformation - Gaining Momentum in Operational Technology (OT)

    Martin Schlatter, CIO and Regional CEO, APAC, NTT Security

    Connecting dots the IOT way!

    Sunil Singh, Regional Chief Information Officer, Coca-Cola Beverages Vietnam

    Disrupting the Automotive Industry through Digitalization

    Esteban Remecz, CIO, Asia Pacific, ZF Group

    Simplifying Deployment and Management of Branch Office Networks

    Ari Bose, CIO, Brocade

    Internet-of-Things: The Rise of Connected Businesses and Connected Lives

    Harnath Babu, CIO, KPMG India

    How IOT is Driving Competitive  Advantage to Asian Supply Chains?

    Steve Walker, CIO, DHL Supply Chain Asia Pacific

    Embracing Advanced Tech-enabled Solutions that Foster Innovation and Growth

    Steven Weinreb, CIO & EVP, Technology & Operations, Asia, MetLife

    Edge Computing and the Keys to Unlocking IoT in Asia Pacific

    Robert Linsdell, Managing Director Australia and New Zealand, Vertiv

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    Dracena: The New Dynamic in Data Processing

    By Apac CIO Outlook | Thursday, January 01, 1970
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    The days of data generated from a system being stored in a database only to be processed at a later stage may soon be over. The ever-increasing need for real-time data has made it imperative to process data as and when it is produced, thus marking the inception of (data) stream processing to generate outputs almost instantaneously. Stream processing systems typically generate results in the time range of sub-milliseconds to a few seconds or minutes, depending on the functionality.

    In the wake of humongous amounts of data being collected by the operations technology (OT) domain, Fujitsu Laboratories, recently announced plans to develop a Dracena (Dynamically Reconfigurable Asynchronous Consistent Event-processing Architecture) to enable addition or processing of content without powering off the system. The architecture proves to be a marked departure from the conventional stream processing architectures in that it does not require the processing activity to be temporarily stopped when changing existing content or adding new data to the system. Fujitsu's solution separates the stream processing activity from data ingestion, which allows the system to automatically begin processing a given data stream following the completion of a running program. Simulation results for a connected car use case confirm the capability of Fujitsu’s architecture to process a few dozens of data bytes released each second from a million cars.

    Fujitsu plans to productize the technology in 2018 as an additional module to its IoT platform for mobility. The buzz is that the company plans to further extend the capabilities of the stream processing architecture to all areas that require processing of data streamed at a high frequency, in real-time.

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