Zebra: Building Efficient Network Message Parsers for Embedded Systems

Abstract

Abstract-Supporting standard text-based protocols in embedded systems is challenging because of the often limited computational resources that embedded systems provide. To overcome this issue, a promising approach is to build parsers directly in hardware. Unfortunately, developing such parsers is a daunting task for most developers as it is at the crossroads of several areas of expertise, such as low-level network programming, or hardware design. In this paper, we propose Zebra, a generative approach to drastically ease the development of hardware parsers and their use in network applications. To validate our approach, we have used Zebra to generate hardware parsers for widely used protocols, namely HTTP, SMTP, SIP, and RTSP. Our experiments show that Zebra-based parsers are up to 11 times faster than software-based parsers.

EZ: Towards Efficient Asynchronous Protocol Gateway Construction

“…We are investigating the extension of EZ to support multicore architectures. Another potential research direction is to raise on our ongoing research work on hardware accelerated parsers to speed up drastically messages processing in embedded platforms [13].…”

Portable indecisive options selected assistance software based on Fuzzy AHP

“…Upload additional text or image information what criteria related about the issue and options, including user settings determining criterions. Because the server can not directly communicate with the remote client in real time, application can designed like the form such SMTP style [11] that client will regularly check Remote Assistance invitations with remote server. When a request comes to, remote client program will download it and then automatically generate the information of the questionnaire survey; Survey results will be calculated on the remote client, following posted back to the server log in the data table.…”

Improving the performance of message parsers for embedded systems

“…We now describe in more details the Zebra approach [16] that follows the aforementioned third methodology. First, we introduce the Zebra language to describe message formats, and its compiler that produces necessary HDL and C code.…”