The extended Berkeley Packet Filter (eBPF) is a recent technology available in the Linux kernel that enables flexible data processing. However, so far the eBPF was mainly used for monitoring tasks such as memory, CPU, page faults, traffic, and more, with a few examples of traditional network services, e.g., that modify the data in transit. In fact, the creation of complex network functions that go beyond simple proof-of-concept data plane applications has proven to be challenging due to the several limitations of this technology, but at the same time very promising due to some characteristics (e.g., dynamic recompilation of the source code) that are not available elsewhere. Based on our experience, this paper presents the most promising cha...
Flow monitoring is widely used to understand the composition of network traffic, which can be used t...
Flow monitoring is widely used to understand the composition of network traffic, which can be used t...
Flow monitoring is widely used to understand the composition of network traffic, which can be used t...
The extended Berkeley Packet Filter (eBPF) is a recent technology available in the Linux kernel that...
The extended Berkeley Packet Filter (eBPF) is a recent technology available in the Linux kernel that...
The extended Berkeley Packet Filter (eBPF) is a recent technology available in the Linux kernel that...
The extended Berkeley Packet Filter (eBPF) is a recent technology available in the Linux kernel that...
The extended Berkeley Packet Filter (eBPF) is an in-kernel virtual CPU for packet filtering that has...
The extended Berkeley Packet Filter (eBPF) is an in-kernel virtual CPU for packet filtering that has...
The extended Berkeley Packet Filter (eBPF) is an in-kernel virtual CPU for packet filtering that has...
Extended Berkeley Packet Filter (eBPF) is an instruction set and an execution environment inside the...
The availability of virtualization technologies and cloud models has made possible an effective deco...
The extended Berkeley Packet Filter (eBPF) enables the dynamic injection of user-defined processing ...
With the advent of Software Defined Networks (SDN), Network Function Virtualisation (NFV) or Service...
The extended Berkeley Packet Filter (eBPF) enables the dynamic injection of user-defined processing ...
Flow monitoring is widely used to understand the composition of network traffic, which can be used t...
Flow monitoring is widely used to understand the composition of network traffic, which can be used t...
Flow monitoring is widely used to understand the composition of network traffic, which can be used t...
The extended Berkeley Packet Filter (eBPF) is a recent technology available in the Linux kernel that...
The extended Berkeley Packet Filter (eBPF) is a recent technology available in the Linux kernel that...
The extended Berkeley Packet Filter (eBPF) is a recent technology available in the Linux kernel that...
The extended Berkeley Packet Filter (eBPF) is a recent technology available in the Linux kernel that...
The extended Berkeley Packet Filter (eBPF) is an in-kernel virtual CPU for packet filtering that has...
The extended Berkeley Packet Filter (eBPF) is an in-kernel virtual CPU for packet filtering that has...
The extended Berkeley Packet Filter (eBPF) is an in-kernel virtual CPU for packet filtering that has...
Extended Berkeley Packet Filter (eBPF) is an instruction set and an execution environment inside the...
The availability of virtualization technologies and cloud models has made possible an effective deco...
The extended Berkeley Packet Filter (eBPF) enables the dynamic injection of user-defined processing ...
With the advent of Software Defined Networks (SDN), Network Function Virtualisation (NFV) or Service...
The extended Berkeley Packet Filter (eBPF) enables the dynamic injection of user-defined processing ...
Flow monitoring is widely used to understand the composition of network traffic, which can be used t...
Flow monitoring is widely used to understand the composition of network traffic, which can be used t...
Flow monitoring is widely used to understand the composition of network traffic, which can be used t...