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Found 7 results

  1. Casino hacked via a thermometer in a lobby aquarium – what a nice story. Sad, there is no technical details in the article. http://www.businessinsider.de/hackers-stole-a-casinos-database-through-a-thermometer-in-the-lobby-fish-tank-2018-4?r=UK&IR=T
  2. Sending data to the cloud is becoming increasingly ubiquitous for consumers and smaller companies. Larger companies even embrace the cloud for more and more of their IT operations. But in the industrial world, the cloud can still be a dirty word. That's why there is so much emphasis on edge computing where sensor or device data is sent to a gateway somewhere on the premise for computing and analysis. This article breaks down why cloud computing falls short in supporting certain businesses, which I imagine will just make engineers more eager to figure out ways around these problems. https://www.rtinsights.com/industrial-iot-at-scale-what-is-really-needed/
  3. Samsung has announced a new service as part of its ARTIK IoT platform to monetise the data shared by IoT devices and enable an IoT data economy. The service, ARTIK Cloud Monetization For IoT, allows companies to tap into the data on their IoT devices to create service plans and generate revenue. Manufacturers can use it to create a brokering, metering and payments system. Full announcement: https://news.samsung.com/global/samsung-electronics-launches-new-data-monetization-solution-for-iot-using-samsung-artik-cloud
  4. Dicker Data has launched an enterprise data business unit and signed a distribution deal with Hitachi Data Systems, focusing on providing new products for IoT and digital transformation solutions in the midmarket and enterprise sectors. More on https://www.arnnet.com.au/article/621862/dicker-data-launches-enterprise-data-business-unit-digital-transformation-drive/
  5. Reekoh has partnered with Equinix, the global interconnection and data centre company, to offer a fully scalable and secure IoT integration platform to enterprises. With Reekoh’s vendor agnostic approach and Equinix’s rich ecosystems of cloud service providers and enterprise users, this new platform aims to provide highly scalable and secured IoT applications and solutions in interconnected environments. http://www.medianet.com.au/releases/release-details.aspx/?id=880674&utm_source=Reekoh+News+and+Updates&utm_campaign=5bc6d7b52d-Equinix_Announcement&utm_medium=email&utm_term=0_83ad04debe-5bc6d7b52d-141014101
  6. Tim Kannegieter


    Introduction: The current approach to managing data collected from IoT devices is to sense/observe the data, move it into the cloud, process and analyze it there, visualize it for decision making purposes, then either store or discard it partially/completely. This approach is generally accepted for smaller applications of IoT, where the amount of data being generated is small and generally predictable. In addition to providing processing power and storage space on virtual servers, cloud providers offer value added services where front end protocol support is provided, so you are not having to fully implement all aspects of your communications protocol stack in your own server. You can piggyback onto facilities provided by the service provider but the compromise is you can then get locked in. Cloud providers offer a number of options. The roll-your-own option is effectively the same as running, developing an application to run on your own server PC, but running that on cloud-based storage. Things to think about include how you're going to interface to your Things and communicate with them, get their data to and from the server. You obviously need to store data in some form for your Things, so some form of database capability is appropriate for that. Once you have this lovely amount of stored data from all your sensors, you're going to have to think what to do with it, so there's inevitably some form of data analytics, and then an interface back to the users of the system. Beyond the roll-your-own, the service providers provide value added services. An interesting one that's provided by both AWS and Azure is MQTT. This is a communications broker-based system that allows interactions and identification and addressing and routing directly from the cloud-based service to deployed Things. Key engineering challenges: A key premise of the current data analytics model is the use of cloud to store and analyse the data. For big data applications, there are a number of questions that can be asked about cloud infrastructure. Is the proposed cloud solution elastic enough to accommodate the amount of data coming from the largest potential number of things ? Is a cloud architecture the most efficient for analytics over IoT data ? Will all the IoT data you move to the cloud ever be used ? Would other parties get value out of your data that you intend to discard? What is the business model for adding value to the data you collect? It has been estimated that the amount of valuable data in big data applications is only in the order of 0.5%. The challenge and cost of storage large volumes of data is leading to new architectures, such as edge or fog computing that pushes as much processing as possible out to the IoT devices or the associated gateways/routers, in order to limit the amount of data that needs to be moved to the cloud. One approach to maximising the value obtained from data is to change the focus from predetermining what data will be used for, to describing the data so that multiple applications can make use of it. Shifting from a silo-based approach to use of IoT data to a discovery approach. Diagram courtesy of Arkady Zaslasky, Data 61, CSIRO This change of approach can be achieved by placing a discovery layer between the data and the applications, enabling greater repurposing of the data. This is particularly useful in applications such as smart cities, where multiple organisation may want to access particular IoT for their own differing purposes. CSIRO is involved in a European led project called OpenIoT that enables this process. A last design consideration for some is to determine whether to build their own redundancy systems independent of their cloud provider. Links: OpenIoT: OpenIoT provides a cloud-based middleware infrastructure in order to deliver on-demand access to IoT services, over multiple infrastructure providers, such as smart cities and smart enterprises Sources: Material on this page has primarily been sourced from the following: Presentation by Geoff Sizer, Chair of Engineers Australia’s ITEE College and CEO, Genesys Electronics Design titled Architecture and Implementation.
  7. March 31, 2017 - Taipei, Taiwan - Tibbo, a leading manufacturer of IoT devices and intelligent device management software, announced release 5.4 of AggreGate IoT Integration Platform. We've achieved great results in optimizing AggreGate server performance, especially event and value update storage performance. From now on, a single server can process and persistently store up to a hundred thousand events/updates per second, which is almost equal to 10 billion events per day. Such performance figures don't even require any high-end server hardware. A new chapter has been opened by this release, presenting AggreGate's graphical and textual programming languages inspired by IEC 61131-3 standard, also known as "SoftPLC". Millions of engineers are now able to use AggreGate as a process control logic development environment. One innovative feature of AggreGate's automation languages is tight integration of runtime with the Tibbo Project System hardware. Your programmed logic can access and control all Tibbit modules of a Linux-based TPS board/box. Currently available languages are: Function Block Diagram (graphical), Structured Text (graphical), Sequential Function Chart (textual). Widget capabilities are no longer limited by the standard set of components. Now it can be easily extended. New Widget Component SDK allows to implement custom visual components in Java and use them in AggreGate widgets. Extend AggreGate's wide component palette with UI controls best suited to your needs! We continue making our UI interface clearer and more user-friendly. The next step is lightweight icons. We redesigned them to be up-to-date with modern flat paradigm. New color coding assists users to navigate over various available toolbar actions. Other major improvements include: · Built-in timestamps and quality for data tables. · Component connectors that allow to visually link UI components with each other. · Secure and reliable Agent communications. Agent-Server communications now can be SSL-protected. When transferred data amount is critical, data compression can be enabled in parallel to encryption. · Granulation, a brand-new highly customizable data aggregation and consolidation tool. The granulation engine allows to combine datasets into compact representation that contains all important aspects of original information in virtually any form suitable for later processing. This allows to reduce memory and storage consumption along with boosting data processing performance. · Server remote upgrading. To reduce company's expenses, a remote AggreGate server upgrade operation is now supported. You can use our Unified Console application to connect to a remote server, upload a server upgrade bundle file and wait while the upgrade process is finished. That's it! All operations, including database backup, stopping server, upgrading and restarting will be performed at the server side automatically. We are bringing our IT & Network Management solution (AggreGate Network Manager) to a new level by turning it into a full-fledged IT Service Management System. In this release, we introduce several essential instruments for that: Configuration Management Database (CMDB), metrics engine and topology-based root-cause analysis tools. Another ITSM functionality - IP address management module - is now available and you can use it out-of-the-box. AggreGate 5.4 includes new device drivers: CoAP, MQTT, IEC 104, DLMS/COSEM, SMI-S. You can get detailed information on the new 5.4 release, download and try the updated AggreGate IoT Platform on our website: http://aggregate.tibbo.com/news/release-54.html.
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