An optimal slicing strategy for SDN based smart home network

Abstract

Software Defined Network (SDN) has long been a research focus since born from the lab of Stanford University. Researches on traditional home networks are faced with a series of challenges due to the ever more complicated user demands. The application of SDN to the home network is an effective approach in coping with it. Now the research on the SDN based home network is in its preliminary stage. Therefore, for better user experience, it is essential to effectively manage and utilize the resources of the home network. The general slicing strategies don't show much advantage in performance within the home networks due to the increased user demands and applications. In this paper, we introduce an advanced SDN based home network prototype and analyze its compositions and application requirements. By implementing and comparing several slicing strategies in properties, we achieve an optimized slicing strategy according to the specified home network circumstance and our preference.

Network traffic analysis using machine learning: an unsupervised approach to understand and slice your network

“…In [13], an SDN-based slicing prototype based on the home devices is presented. The authors present three types of slicing strategy.…”

SDN, slicing, and NFV paradigms for a smart home: A comprehensive survey

“…In the literature, few works proposed a slicing of the home network. How to choose the most efficient strategy of slicing is still a challenge . Yiakoumis et al proposed a slicing of the home network by multiple service and application providers with different purposes (improve and configure Wi‐Fi, provide a good QoS for streaming services, improve energy load management and meter reading, etc).…”

“…How to choose the most efficient strategy of slicing is still a challenge. 17 Yiakoumis et al 39 proposed a slicing of the home network by multiple service and application providers with different purposes (improve and configure Wi-Fi, provide a good QoS for streaming services, improve energy load management and meter reading, etc). According to this work, many slices could be defined for the home area network, ie, network management, smart grid, video streaming, guest Wi-Fi, etc (see Figure 4).…”

“…Furthermore, when outsourcing the control plane, a decrease in network performances is noticed but the packet delay variation still low. In the work of Wang et al, the home traffic is split into six subsystems, ie, office, video, and gaming, which are connected to the same high‐speed OpenFlow switch; and Comfort, kitchen, and lighting are connected to a low‐speed OpenFlow switch. Three slicing strategies are proposed, ie, slicing based on application (four slices) {office, gaming, video, and appliance}, Slicing based on location (four slices) {officeroom, recreateroom, intelcontrol, and kitchclean} and slicing based on bandwidth (three slices) {highrate, middlerate, and lowrate}.…”

“…The main goal is to allow an optimal bandwidth allocation and management for the home services (parental traffic, video streaming, video conferencing, etc). Other works proposed to add slicing in the controller to respond to the QoS challenges . Home network slicing provides dedicated virtual networks over a common physical.…”