Abstract: A method for packet job scheduler in data processing based on workload self-learning is disclosed. In response to receiving an incoming packet, the packet processor checks workload usage of an isolation group (IG) associated with the incoming packet, the IG being a classification of packets defined for the purpose of processing the incoming packet. The packet processor then determines whether the workload usage of the IG associated with the incoming packet exceeds a predetermined threshold. In response to the workload usage of the IG associated with the incoming packet not exceeding the predetermined threshold, the packet processor forwards the incoming packet to be executed by a packet execution unit, and then it updates the workload usage of the IG associated with the incoming packet based on execution of the incoming packet by the packet execution unit.

Abstract: A method for processing data packets in a pipeline and executed by a network processor. The pipeline includes a plurality of logical blocks, each logical block configured to process one stage of the pipeline. Each data packet includes a descriptor and a data. The network processor is coupled to a resource for storing the data. The method reduces latency and enables non-blocking processing of data packets by forwarding a unique identification of a write request from a first logical block to a subsequent second logical block in the pipeline, the write request to modify the data in the resource. The method includes receiving the descriptor for processing at the first logical block, generating the write request and the unique identification for the write request, transmitting the write request to the resource, and transmitting the unique identification towards the second logical block before an acknowledgement is returned by the resource.

Abstract: A method executed by a controller of a plurality of processing elements to reduce processing time of a data packet in a network element. The processing elements are arranged in a matrix. Each processing element has a point to point connection with each adjacent processing element, known as a hop. Each processing element also includes a separate processing element storage. The data packet includes a data and a descriptor, the data being transmitted to a first processing element for storage before the descriptor is received by the controller, and the data being processed after the descriptor is received. The method includes receiving the descriptor at the controller, determining that the first processing element does not have an available resource for processing the data, determining a second processing element based on a least number of hops to the first processing element, and transmitting the descriptor to the second processing element.

Abstract: A method for packet job scheduler in data processing based on workload self-learning is disclosed. In response to receiving an incoming packet, the packet processor checks workload usage of an isolation group (IG) associated with the incoming packet, the IG being a classification of packets defined for the purpose of processing the incoming packet. The packet processor then determines whether the workload usage of the IG associated with the incoming packet exceeds a predetermined threshold. In response to the workload usage of the IG associated with the incoming packet not exceeding the predetermined threshold, the packet processor forwards the incoming packet to be executed by a packet execution unit, and then it updates the workload usage of the IG associated with the incoming packet based on execution of the incoming packet by the packet execution unit.