Research On Energy Aware Cache Coordination Scheme In Information-Centric Networking

With the rapid development of Internet technology,network traffic has exploded,which has inevitably brought about a sharp rise in network energy consumption.Today's Internet is mainly used for information dissemination,however,the original design of IP networks is to achieve end-to-end communication,which is difficult to meet the challenges raised by this new traffic trend.A series of problems have been exposed in terms of energy efficiency.In order to solve these sproblems fundamentally,the research community has proposed a new network architecture—Information Centric Networking(ICN).ICN has many advantages such as supporting node movement,strong scalability,high security,and energy saving.It is a good choice to reduce network energy consumption in large-scale content distribution.In recent years,the advantages of ICN's energy saving have attracted the attention and favor of many scientific researchers.As the cornerstone of ICN,energy efficient caching technology is very important for green ICN.In the distributed and highly dynamic scenario of ICN,in order to make full use of the limited cache space,energyefficient cache strategies must do their best to ensure the performance of user data acquisition,and give full play to ICN's energy saving advantages.This thesis is devoted to design a suitable ICN energy efficient cache strategy,so that ICN nodes can store more useful content,so as to achieve rapid dasta interaction in ICN.The contributions of this thesis are as follows:Firstly,we briefly analyzed the state-of-art researches of green ICN at the first place.Then we conducted an in-depth study on energy efficient ICN cache technologies.Finally,we proposed two strategies based on the ICN energy consumption model and various factors that affect ICN's performance,namely,a Game-based Energy Aware Cache Decision Policy(GEACD)and an Energy Aware Cache Migration Policy(EACM).The idea behind both strategies is to reduce the total energy consumption of the ICN by explicitly increasing the energy efficiency of the caches.When an ICN node makes a cache decision,a simple game is played between the energy consumed by caching the content locally and the energy consumed by retrieving the from an upstream node,and then the cache probability is calculated based on the popularity of the content and the energy saving value.After the cache space is full,content replacement will be triggered.At this point,the node will also evaluate whether migrating the content objects to be evicted to its neighbors has potential energy saving gains.Secondly,in order to further explore the energy saving potential of ICN,we conducted in-depth research on ICN-based wireless Io T networks.For the specific scenario of the wireless Io T mobile network,considering the timeliness of Io T data and the limitation of Io T device's cache resources,we assume that the Io T device has the functionalities of an ICN content router and the buffer of the Io T device can switch between active/sleep states.Based on these,a wireless ICN-Io T cache mechanism based on buffer sleep is designed.Wireless Io T devices not only periodically delete stale messages,but also periodically check the buffer load.When the load reaches a certain threshold,the wireless Io T device will selectively offload the stored content to other devices to ensure that the current device buffer is dormant most of the time and the stored content on the network is still available.When the data in the buffer is full,the device replaces the least recently used data.Finally,this thesis implemented the GEACD and EACM strategies in the ccn Sim on the OMNet++ simulation platform.The simulation results show that the GEACD + EACM scheme designed in this thesis is superior to existing schemes in performance metrics such as cache hit rate,average download hops,and energy efficiency.In addition,this thesis extended and improved the ccn Sim module based on the OMNet++ platform,built an ICN-based wireless Io T network mobile simulation solution,and added a buffer-based wireless ICN-Io T cache sleeping mechanism.Simulation results show that the mechanism can achieve good compromise between energy efficiency and other performance metrics such as cache hit ratio and average download hops.