Abstract
The combination of IoT and mobility promises to open a new frontier of innovations in smart environments, through the advent of the Internet of Moving Things (IoMT) paradigm. In IoMT, an array of IoT devices leverage IP-based mobile connectivity to provide a vast range of data ubiquitously. The IoMT realization will foster smart environments at unprecedented levels, by efficiently affording services and applications whereby today’s technologies make their efficiency unfeasible, such as autonomous driving and in-ambulance remotely-assisted patient. IoMT-supported mission-critical applications push computing and networking requirements to totally new levels that must be met, raising the need for refined approaches that advance beyond existing technologies. In light of this, this paper proposes the Resilient MultiUser Session Control (ReMUSiC) framework, which deploys emerging softwarization and cloudification technologies to afford flexible, optimized and self-organized control plane perspectives. ReMUSiC extends our previous work through the following innovations. A quality-oriented resilience mechanism is capable of responding to network dynamics events (failure and mobility) by readapting IoMT multiuser mobile sessions. A softwarized networking control plane that allows to, at runtime, both fetch current network state and set up resources in the attempt to always keep affected IoMT multiuser mobile sessions best-connected and best-served. A cloudification approach allows a robust environment, through which cloud- and fog-systems interwork to cater to performance-enhanced capabilities. The IoMT’s suitability and performance impacts by ReMUSiC framework use are assessed through real testbed prototyping. Impact analysis in Quality of Service (QoS) performance and perceived Quality of Experience (QoE), demonstrate the remarkable abilities of the ReMUSiC framework, over a related approach, in keeping IoMT multiuser mobile sessions always best-connected and best-served.
Highlights
The technological evolution of the Internet of Moving Things (IoMT), which advents from the combined assistance between IoT and network mobility, promises to influence people’s daily lives by providing quick and useful information about the environment and the people themselves
Output: accepted or rejected quality-assured content transport service get the necessary information in the message m;; get the Quality of Service (QoS) knowledge of content;; get the subset P = { p1, p2, ...pn } of existing paths from the IoT platform to the Software Defined Networks (SDN) egress node towards the Critical Mission IoMT Applications (CMIA);; for each path pi ∈ P do if internal state statistics satisfy the QoS of the content invoke the MultiUser Session Manager component;; return true;; end end notify the SDN Controller;; return false;; Algorithm 1 obtains the internal state and knowledge of the QoS associated with the content required by the CMIA, which make up its input
Output: Flow rules that define the QoS-oriented multiuser network invoke the State Descriptor to get s, by using its identifier; get the IoMT multiuser mobile session transport tree associated with s; define the branching node(s); define the one-to-many flow rules; define the one-to-one flow rules; invoke the State Descriptor to update the description of the IoMT multiuser mobile session s; notify the SDN Controller to install the flow rules in each node; The one-to-many flow rules are defined based on group communication, from the substrate offered by the SDN Controller
Summary
The technological evolution of the Internet of Moving Things (IoMT), which advents from the combined assistance between IoT and network mobility, promises to influence people’s daily lives (regardless of whether they are aware or not) by providing quick and useful information about the environment and the people themselves. In the current communication session model between CMIA/IoT platform, each CMIA content request will be handled (by most) cloud-running IoT platforms, individually [12] This leads to an inefficient content transport service in IoMT due to different reasons: (i) it wastes computational resources (e.g., processing and storage) on the cloud IoT platform; (ii) it induces a potentially exponential amount of redundant micro-flows (i.e., individual one-to-one flows) that drain network resources and increase the packet loss rate in the links; (iii) it limits scalability, by reducing performance when multiple CMIAs request content with the same characteristics at a time; and (iv) it leads to a breach of the quality requirements of CMIAs. Some recent solutions have attempted to ensure QoS at the network level, including group-based communication strategies.
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