Network_data_flow_through_kernel API Map
Network_data_flow_through_kernel - here is a detailed IPv4 Network API and data-structure API Map originally published in Linux Foundation Wiki
a Linux and Tech Youtube Channel for advance Linux users, systems and network software programmers and tech enthusiasts
Network_data_flow_through_kernel - here is a detailed IPv4 Network API and data-structure API Map originally published in Linux Foundation Wiki
dst_entry() is one of the important Linux Kernel Networking subsystem data-structure which is used while navigating the packet flow within the IPv4 stack. It contains function pointers one for input…
Detailed scheme of the forwarding operations in 2.6 kernel NAPI – www.researchgate.net/profile/Roberto_Bruschi/publication:Figure 4. Detailed scheme of the forwarding operations in 2.6 kernel NAPI. Image courtesy/source HERE The linux networking architecture…
Usually as a part of network software development you do socket programming. But this is typically done in user-space, where the user-space socket APIs takes the instructions (via socket API…
Every VPN stack is architecture is done in a specific way to accomplish fundamental VPN specifications, requirements and goals. As a part of VPN Network stack architecture quite often we…
When you architect and implement a VPN deployment as a part of standalone setup or leveraging VPN technologies as one of your building blocks of your SD-WAN product architecture, one…
When you learn networking and network software programming, you learn various aspects of networking. Along with datacom concepts such as network switches, routers and so on. As you learn Ethernet…
Linux Networking Stack Receive Flow Steering (RFS) aim is to increase data-cache hitrate by steering kernel processing of packets to the CPU where the application thread consuming the packet is…
Here is a code-walk of a git-hub source submitted by a viewer Sekhar Pariga, which is a Multi-client TCP Server with pthreads Mutex synchronized. Basically it is a Directory Listing…
Here is my sample source-code discussed in the video: you can compile the same via: