International Business Machines Corporation (Armonk, NY)

A method, a computer program product, and computer systems determine the kube-edge pod configuration. Method is based on the identification of mobile devices within an area of coverage with a cloud-based service. The method includes receiving polling data from mobile devices, which include bid data that indicate the cost of each device and the availability of resources for each of the mobile devices acting as an edge device in the cloud service. The method coupled information for mobile devices indicative of whether at least two of the mobile devices should be considered coupled such that the mobile devices coupled have a cost that is coupled and an availability of resources that is coupled. The method involves determining a utility score of the coverage area based on bid information and coupling information and selecting a data storage deployment scheme for the cloud service using the score of utility.

The exemplary examples generally refer to kube edge computing , and particularly, to the selection of a kubeedge pod’s configuration that provides the highest coverage and availability, with minimal incentive.

In a cloud-based environment, edge computing enables processing and/or storage of data be provided closer to the devices where these processes are performed. Therefore, edge computing removes the requirement for data to be stored or processed to be transferred to a central place (e.g. the central cloud server) which may be physically situated a considerable distance from the devices. Although this configuration may not provide a substantial change to the services beingprovided from a device’s perspective however, the rapid growth of the Internet of Things (IoT) and the use of these devices dramatically increases the requirements for using cloud-based services (e.g. the increasing latency which leads to lower quality, bandwidth costs,etc.). Edge computing can be utilized to tackle these issues.

Multi-access edge computing (MEC) is a strategy that enables cloud computing as well as an IT service environment are offered at the edge of the network. MEC allows for the rapid and flexible delivery of services and applications to devices. 5G, the next generation of mobile broadband networks is believed to provide higher communications speeds. MEC has implementations for various networks and 5G is growing as service providers implement the most current and advanced technology to serve their clients. MEC and 5G can be disruptive technologies by themselves however when they are combined, they’ll have a major impact on the field of computing. The emergence of 5G networkingcapabilities will increase the number of connected devices on a network, which spurs the need for edge computing to help distribute networking demands. Applications that rely heavily on a reliable connectivity to the network, speedy deployment, and minimal latency are burgeoning technologies such as artificial intelligence (AI), IoT and virtual reality (VR), augmented reality (AR) and many more. MEC and 5G networking permit simultaneous use of many connected technology without creating network interruptions or traffic bottlenecks. Current edge deployments might not be able to continuously address the provision of edge services across different coverage areas.

The embodiments described in the examples provide a method and a computer program and a computer system for determining the configuration of a kube edge pod. The method comprises finding mobile devices within the coverage area of an environment that is mobile, and the mobile devices using a cloud-based service. The method is based on receiving polling data from mobile devices. The polling data contains bid data, which provides a price and availability for every mobile device that is operating as an edge device for cloud services. The method comprises determining information about coupling for mobile devices. The coupling information indicates that at least two mobile devices should be considered to be connected. This implies that they share a cost and a shared resource availability. The method involves determining the utility score of the coverage area using the bid data as well as the information about coupling. The method involves selecting a data storagedeployment scheme for the cloud service using the score of utility.

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