Computer cluster domain specific OSI L2 data source integration
A system and method of processing datasets that are compliant to a layer 2 (L2) protocol of an open systems interconnection (OSI) model in a cloud computing environment on behalf of an edge computing environment. The method includes receiving, from the edge computing device, a set of L2 frames. The method includes detecting one or more errors in the set of L2 frames based on an L2 protocol of the OSI model. The method includes correcting the one or more errors in the set of L2 frames to generate a corrected set of L2 frames. The method includes generating, by a processing device of a cloud computing system, a processed dataset based on the corrected set of L2 frames.
1 . A method, comprising:
receiving, from an edge computing device, a set of layer 2 (L2) frames;
detecting one or more errors in the set of L2 frames based on an L2 protocol of an open systems interconnection (OSI) model;
correcting the one or more errors in the set of L2 frames to generate a corrected set of L2 frames; and
generating, by a processing device of a cloud computing system, a processed dataset based on the corrected set of L2 frames.
2 . The method of claim 1 , further comprising:
generating a second set of L2 frames comprising the processed dataset; and
providing, via an L2 interface of the cloud computing system, the second set of L2 frames to the edge computing device.
3 . The method of claim 1 , wherein generating the processed dataset based on the corrected set of L2 frames is further based on a logic configuration that is associated with the edge computing device and installed on a memory of the processing device, and further comprising:
receiving, via a layer 3 (L3) interface of the cloud computing system, a request to update the logic configuration based on a different logic configuration associated with the edge computing device; and
installing the different logic configuration on the memory.
4 . The method of claim 1 , wherein detecting the one or more errors in the set of L2 frames further comprises:
measuring a timing difference between a first L2 frame of the set of L2 frames and a second L2 frame of the set of L2 frames; and
comparing the timing difference and the L2 protocol of the OSI model to determine that the timing difference violates the L2 protocol of the OSI model.
5 . The method of claim 1 , further comprising:
generating a set of layer 3 (L3) packets comprising the processed dataset; and
transmitting, via a first L3 interface of the cloud computing system, the set of L3 packets to a second L3 interface of the cloud computing system.
6 . The method of claim 5 , further comprising:
detecting a transmission error in the set of L3 packets based on an L3 protocol of the OSI model responsive to transmitting the set of L3 packets;
correcting the transmission error in the set of L3 packets to generate a corrected set of L3 packets comprising the processed dataset; and
generating, by the cloud computing system, a second processed dataset based on the corrected set of L3 packets.
7 . The method of claim 6 , further comprising:
generating, by the cloud computing system, a third set of L2 frames comprising the second processed dataset; and
providing, by the cloud computing system via an L2 interface of the cloud computing system, the third set of L2 frames to the edge computing device.
8 . The method of claim 6 , further comprising:
generating, by the cloud computing system, a second set of L3 packets comprising the second processed dataset; and
transmitting, via the second L3 interface of the cloud computing system, the second set of L3 packets to the first L3 interface of the cloud computing system.
9 . The method of claim 8 , further comprising:
generating, by the cloud computing system, a third processed dataset based on the second set of L3 packets.
10 . The method of claim 1 , wherein the cloud computing system comprises a Kubernetes cluster of computing devices.
11 . A cloud computing system, comprising:
a memory; and
a processing device, operatively coupled to the memory, to:
receive, from an edge computing device, a set of layer 2 (L2) frames;
detect one or more errors in the set of L2 frames based on an L2 protocol of an open systems interconnection (OSI) model;
correct the one or more errors in the set of L2 frames to generate a corrected set of L2 frames; and
generate a processed dataset based on the corrected set of L2 frames.
12 . The cloud computing system of claim 11 , further comprising:
an L2 interface; and
wherein the processing device is further to:
generate a second set of L2 frames comprising the processed dataset; and
provide, via the L2 interface, the second set of L2 frames to the edge computing device.
13 . The cloud computing system of claim 11 , further comprising:
a layer 3 (L3) interface; and
wherein to generate the processed dataset based on the corrected set of L2 frames is further based on a logic configuration that is associated with the edge computing device and installed on the memory; and
wherein the processing device is further to:
receive, via the L3 interface, a request to update the logic configuration based on a different logic configuration associated with the edge computing device; and
install the different logic configuration on the memory.
14 . The cloud computing system of claim 11 , wherein to detect the one or more errors in the set of L2 frames, the processing device is further to:
measure a timing difference between a first L2 frame of the set of L2 frames and a second L2 frame of the set of L2 frames; and
compare the timing difference and the L2 protocol of the OSI model to determine that the timing difference violates the L2 protocol of the OSI model.
15 . The cloud computing system of claim 11 , further comprising:
a first layer 3 (L3) interface; and
wherein the processing device is further to:
generate a set of L3 packets comprising the processed dataset; and
transmit, via the first L3 interface, the set of L3 packets to a second L3 interface of the cloud computing system.
16 . The cloud computing system of claim 15 , wherein the processing device is further to:
detect a transmission error in the set of L3 packets based on an L3 protocol of the OSI model responsive to transmitting the set of L3 packets;
correct the transmission error in the set of L3 packets to generate a corrected set of L3 packets comprising the processed dataset; and
generate a second processed dataset based on the corrected set of L3 packets.
17 . The cloud computing system of claim 16 , further comprising:
an L2 interface; and
wherein the processing device is further to:
generate a third set of L2 frames comprising the second processed dataset; and
provide, via the L2 interface, the third set of L2 frames to the edge computing device.
18 . The cloud computing system of claim 16 , wherein the processing device is further to:
generate a second set of L3 packets comprising the second processed dataset; and
transmit, via the second L3 interface, the second set of L3 packets to the first L3 interface of the cloud computing system.
19 . The cloud computing system of claim 11 , further comprising:
a Kubernetes cluster of computing devices.
20 . A non-transitory computer-readable medium storing instructions that, when executed by a processing device of a cloud computing system, cause the processing device to:
receive, from an edge computing device, a set of layer 2 (L2) frames;
detect one or more errors in the set of L2 frames based on an L2 protocol of an open systems interconnection (OSI) model;
correct the one or more errors in the set of L2 frames to generate a corrected set of L2 frames; and
generate, by the processing device, a processed dataset based on the corrected set of L2 frames.