A new scalable and efficient packet scheduling method in high-speed packet switch networks
Cheng Shan
Abstract
Cheng Shan
Abstract
While weighted fair queueing (WFQ) and many other fair scheduling methods can provide guaranteed worst case delay bounds, they are not scalable to a large number of connections due to per-flow queuing. This paper presents a new packet scheduling method-round-robin priority queuing (RRPQ). RRPQ guarantees a per-session-based delay bound without per-flow queuing. It also avoids many other implementation complexities in fair queuing scheduling. The scalability and low implementation cost of RRPQ make it a practical solution in providing guaranteed delay bounds in high-speed networks.
OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
While weighted fair queueing (WFQ) and many other fair scheduling methods can provide guaranteed worst case delay bounds, they are not scalable to a large number of connections due to per-flow queuing. This paper presents a new packet scheduling method-round-robin priority queuing (RRPQ). RRPQ guarantees a per-session-based delay bound without per-flow queuing. It also avoids many other implementation complexities in fair queuing scheduling. The scalability and low implementation cost of RRPQ make it a practical solution in providing guaranteed delay bounds in high-speed networks.
Key concepts: Weighted fair queueing, Fair queuing, Generalized processor sharing, Computer science, Proportionally fair, Queueing theory, Scalability, Queuing delay