A5063163718- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Advanced Optical Network Technologies
- Software-Defined Networks and 5G
- Advanced Photonic Communication Systems
- IoT Networks and Protocols
- Cloud Computing and Resource Management
- Optical Wireless Communication Technologies
- Energy Harvesting in Wireless Networks
University of Leeds
2015-2019
In this paper, an energy efficient IoT virtualization framework with peer-to-peer (P2P) networking and edge processing is proposed. network, the task requests are served by peers. objects relays that host virtual machines (VMs) represents peers in proposed P2P network. We have considered three scenarios to investigate saving power consumption system capabilities terms of processing. The first scenario a `relays only' scenario, where processed using only. second `objects last hybrid both VMs....
In this paper, we introduce a Mixed Integer Linear Programming (MILP) model to design an energy efficient cloud computing platform for Internet of Things (IoT) networks. our model, the IoT network consisted four layers. The first (lowest) layer devices, e.g. temperature sensors. networking elements (relays, coordinators and gateways) are located within upper three layers, respectively. These perform tasks data aggregation processing traffic produced by devices. is handled Virtual Machines...
In this paper we design a framework for an energy efficient cloud computing platform Internet of things (IoT) accompanied by passive optical access network (PON). The is evaluated using Mixed Integer Linear Programming (MILP) model. IoT consists four layers. first layer represents objects and the three other layers host relays, coordinator gateway, respectively. PON two hosting Optical Network Units (ONUs) Line Terminal (OLT), Equipment at all layers, except object layer, can aggregate...
In this paper, an energy efficient IoT virtualization framework with P2P networking and edge computing is proposed. network, the task processing requests are served by peers. The peers in our work represented objects relays that host virtual machines (VMs). We have considered three scenarios to investigate saving power consumption system capabilities terms of processing. first scenario only scenario, where processed using only. second last a hybrid both VMs. developed mixed integer linear...
In this paper, the energy efficiency of edge computing platforms for IoT networks connected to a passive optical network (PON) is investigated. We have developed mixed integer linear programming (MILP) optimization model, which optimizes placement and number cloudlets VMs utilizes efficient routes with objective minimizing total processing power consumption. Our results show that consumption can be reduced by consolidating these at PON Optical Line Terminal (OLT) in cases where traffic...