Abstract
Content-Centric Networking (CCN) has recently emerged as a clean-slate Future Internet architecture which has a completely different communication pattern compared with exiting IP network. Since the World Wide Web has become one of the most popular and important applications on the Internet, how to effectively support the dominant browser and server based web applications is a key to the success of CCN. However, the existing web browsers and servers are mainly designed for the HTTP protocol over TCP/IP networks and cannot directly support CCN-based web applications. Existing research mainly focuses on plug-in or proxy/gateway approaches at client and server sides, and these schemes seriously impact the service performance due to multiple protocol conversions. To address above problems, we designed and implemented a CCN web browser and a CCN web server to natively support CCN protocol. To facilitate the smooth evolution from IP networks to CCN, CCNBrowser and CCNxTomcat also support the HTTP protocol besides the CCN. Experimental results show that CCNBrowser and CCNxTomcat outperform existing implementations. Finally, a real CCN-based web application is deployed on a CCN experimental testbed, which validates the applicability of CCNBrowser and CCNxTomcat.
Highlights
Along with floods and droughts, locust swarms are the cause of devastating agricultural/biological disasters in China.[1]
Based on the required functionality of the platform, we designed it with three systems: a collecting system used to use a personal digital assistant (PDA) for collecting ecological and geographic information in the field, a processing system for locust information based on geographic information system (GIS) and remote sensing (RS), and a real-time monitoring and controlling system based on WebGIS
The workflow of the platform is that locusts are monitored using a RS technology subsystem, a PDA-based collecting system, and national meteorological stations
Summary
Along with floods and droughts, locust swarms are the cause of devastating agricultural/biological disasters in China.[1] The dominant locust species is Locusta migratoria manilensis. More than 2 million ha of agricultural land in China is affected by the invasion of these species annually.[2] Choosing the best strategy for controlling locusts and grasshoppers requires a complex and extensive analysis of information, including the biological characteristics of locusts, vegetation, humidity, and pesticides.[3] The rapid development of computer technology has made this objective relatively easy to achieve.[4] An increasing number of information systems for pest control have been implemented, and these systems have played an important role in pest control. We report on the design and implementation of the platform in this article
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