IoT Resource Tree Representation for Massively Large Data Sets

Project logistics

Preferred past experience


Internet of Things defines a network composed of multiple elements of different sizes, shape and functions [2, 3]. Currently there lacks a means to represent large IoT data resource trees in a visually and/or application-consumable manner. The requirement for this project is to design, develop and prototype a user and application interface that enables.


OpenDaylight (ODL) is being used as an Internet of Things (IoT) data collection platform [4, 1]. The IoT data is organized in a massive resource tree (potentially millions of nodes). This tree contains measurements from devices (the things) and its associated attributes. The attributes represent metadata about the resource, for example access rights, creation time, children list, owner, size, quota etc. We need a tool to access and visualize this resource tree, and maybe even modify the tree structure (e.g. edit object). This would be used by any IoT application and/or operatot with authorization to access the data. The tool needs to allow the user to express what needs to be displayed and transfer as little information as possible from the data store to display it. This will involve some form of data aggregation and filtering, likely performed as either an ODL plug-in or a function-specific application back-end. An IoT resource with thousands of children This is a representation of a portion of the resource tree (DDM: Distributed Data Management). We see that when the data set grows to thousands of children or levels, it is very difficult to visualize and use this data.


Let your creativity go wild, invent an original way to manage a super large tree


  1. Internet of Things Data Management (IOTDM) :
  2. oneM2M:
  3. More oneM2M technical specifications:
    • oneM2M Functional Architecture: TS0001
    • oneM2M Webinar: Taking a look inside oneM2M
  4. OpenDaylight: