Solteq is a leading software solutions company based in Vantaa, Finland that specializes in many different sectors, including the retail sector. Solteqs latest project was to produce a robot that can go into retail stores to gather information in real-time about the product inventory, locations, and prices. A comparative study between Cloud, Edge, and Fog computing platforms was conducted to help Solteq identify which computing platform is best suited in the development of the project to address bottlenecks and provide information as quickly as possible for their customers. Through studying and understanding the robot systems, how they transfer data, and by testing different computing platforms on the robot or in an isolated environment which will simulate how the robot operates, the advantages and disadvantages of each computing platform were identified. The results showed that it is in the best interest of Solteq to adopt and edge or fog computing strategy as the robot will work more effectively and more importantly, safely if the computation is done near the robot. Issues with latency, file transfer speed, and expensive computing plans offered by cloud services make using edge computing and fog computing a more viable choice, which may better satisfy customer need for up-to-date information on their inventories and price data.


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    Title :

    Cloud Computing vs Edge Computing: Managing dataflow in intelligent robot systems


    Contributors:

    Publication date :

    2020-01-01


    Type of media :

    Miscellaneous


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



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