Abstract
This paper elaborates on alleviating the energy conservation problem in wireless devices operating under the Internet of Things (IoT) environments, by using machine-to-machine (M2M) communication mechanisms. Such IoT wireless terminals, such as wearables, smart glasses, and smart objects, are able to distress energy consumption levels of the IoT environments, playing a crucial role to the quality of service (QoS) or quality of experience (QoE) provision for end users under several high demand scenarios, while they are on the move. In this context, this paper proposes a new offload-aware recommendation scheme, towards allowing the effective monitoring of high energy consumption applications that run in the mobile devices of such IoT ecosystems. The proposed model enables mobile users having a nonstop provision of on-demand services, while such devices are able to provide the available required resources that are to be exploited in IoT environments. The proposed system model and the M2M offloading mechanisms and mathematical foundations, this paper exploits an edge-based communication mechanism, towards enabling resource-aware recommendation. The performance evaluation results validate the proposed approach, by assessing the provided model in the framework of the reliability provision for the IoT terminals under the use of the recommendation scheme, as well as the energy conservation provision for several mobile devices that are included in the IoT environment during the offloading procedure.
Highlights
Resource hungry applications of Internet of Things (IoT) mobile devices can effectively run by exploiting cloud computing paradigm and related mechanisms
It is certainly correct that the mobile terminals quality of service (QoS) requests are of deterministic nature, as well as other QoS dimensions and levels, which are influenced by several performance metrics [2] are different of each other
The proposed model, combined with an assistive recommendation scheme, enables for energy-efficient monitoring of running applications on mobile terminals that operate within an IoT-enabled environment
Summary
Resource hungry applications of IoT mobile devices can effectively run by exploiting cloud computing paradigm and related mechanisms. Mobile devices in IoT environments are rare in resources, while many resource constraints exist, the energy maintenance along with the obtainable consistency, position a challenge for the provision of QoS to the mobile users, as well as for the mobile services and applications In this context, the edge computing environment is able to host high energy consumption applications towards operating the increased demanding processes, to fulfil the requests of the mobile end-users. Several, processing parameters, metrics, as well as network, migration and recommendation-oriented parameters, have been exploited, to minimize the levels of energy consumption when energy hungry applications are provided and critical or delay-sensitive processes are applied In this framework, the sections of the paper below present the related work, to demonstrate alternative solutions and the overall design principles of this work. A detailed performance evaluation is presented, while the results extracted are indicating the effectiveness of the anticipated research approach, by exploiting both real-time emulator and by conducting simulation tests under specific networking specifications and scenarios
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