.png){kind=icon}
.png){kind=icon}
Return
Extended Berkeley Packet Filter: An Application Perspective
.png){kind=icon}
PRE
AI
DOI：10.1109/ACCESS.2022.3226269.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The extended Berkeley Packet Filter (eBPF) is a lightweight and fast 64-bit RISC-like virtual machine (VM) inside the Linux kernel. eBPF has emerged as the most promising and de facto standard of executing untrusted, user-defined specialized code at run-time inside the kernel with strong performance, portability, flexibility, and safety guarantees. Due to these key benefits and availability of a rich ecosystem of compilers and tools within the Linux kernel, eBPF has received widespread adoption by both industry and academia for a wide range of application domains. The most important include enhancing performance of monitoring tools and providing a variety of new security mechanisms, data collection tools and data screening applications. In this review, we investigate the landscape of existing eBPF use-cases and trends with aim to provide a clear roadmap for researchers and developers. We first introduce the necessary background knowledge for eBPF before delving into its applications. Although, the potential use-cases of eBPF are vast, we restrict our focus on four key application domains related to networking, security, storage, and sandboxing. Then for each application domain, we analyze and summarize solution techniques along with their working principles in an effort to provide an insightful discussion that will enable researchers and practitioners to easily adopt eBPF into their designs. Finally, we delineate several exciting research avenues to fully exploit the revolutionary eBPF technology.
Keywords:
BPF
eBPF
XDP
Linux kernel
security
network
sandboxing
storage
containers