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54 results about "Fair queuing" patented technology

Fair queuing is a family of scheduling algorithms used in some process and network schedulers. The algorithm is designed to achieve fairness when a limited resource is shared, for example to prevent flows with large packets or processes that generate small jobs from consuming more throughput or CPU time than other flows or processes.

Method and system for network processor scheduling based on service levels

InactiveUS20020023168A1Error preventionTransmission systemsMaximum burst sizeComing out
A system and method of moving information units from an output flow control toward a data transmission network in a prioritized sequence which accommodates several different levels of service. The present invention includes a method and system for scheduling the egress of processed information units (or frames) from a network processing unit according to service based on a weighted fair queue where position in the queue is adjusted after each service based on a weight factor and the length of frame, a process which provides a method for and system of interaction between different calendar types is used to provide minimum bandwidth, best effort bandwidth, weighted fair queuing service, best effort peak bandwidth, and maximum burst size specifications. The present invention permits different combinations of service that can be used to create different QoS specifications. The "base" services which are offered to a customer in the example described in this patent application are minimum bandwidth, best effort, peak and maximum burst size (or MBS), which may be combined as desired. For example, a user could specify minimum bandwidth plus best effort additional bandwidth and the system would provide this capability by putting the flow queue in both the NLS and WFQ calendar. The system includes tests when a flow queue is in multiple calendars to determine when it must come out.
Owner:IBM CORP

Processor with scheduler architecture supporting multiple distinct scheduling algorithms

A processor includes a scheduler operative to schedule data blocks for transmission from a plurality of queues or other transmission elements, utilizing at least a first table and a second table. The first table may comprise at least first and second first-in first-out (FIFO) lists of entries corresponding to transmission elements for which data blocks are to be scheduled in accordance with a first scheduling algorithm, such as a weighted fair queuing scheduling algorithm. The scheduler maintains a first table pointer identifying at least one of the first and second lists of the first table as having priority over the other of the first and second lists of the first table. The second table includes a plurality of entries corresponding to transmission elements for which data blocks are to be scheduled in accordance with a second scheduling algorithm, such as a constant bit rate or variable bit rate scheduling algorithm. Association of a given one of the transmission elements with a particular one of the second table entries establishes a scheduling rate for that transmission element. The scheduler maintains a second table pointer identifying a current one of the second table entries that is eligible for transmission.
Owner:INTEL CORP

Method and system for network processor scheduling based on service levels

A system and method of moving information units from an output flow control toward a data transmission network in a prioritized sequence which accommodates several different levels of service. The present invention includes a method and system for scheduling the egress of processed information units (or frames) from a network processing unit according to service based on a weighted fair queue where position in the queue is adjusted after each service based on a weight factor and the length of frame, a process which provides a method for and system of interaction between different calendar types is used to provide minimum bandwidth, best effort bandwidth, weighted fair queuing service, best effort peak bandwidth, and maximum burst size specifications. The present invention permits different combinations of service that can be used to create different QoS specifications. The “base” services which are offered to a customer in the example described in this patent application are minimum bandwidth, best effort, peak and maximum burst size (or MBS), which may be combined as desired. For example, a user could specify minimum bandwidth plus best effort additional bandwidth and the system would provide this capability by putting the flow queue in both the NLS and WFQ calendar. The system includes tests when a flow queue is in multiple calendars to determine when it must come out.
Owner:IBM CORP

Storage system self-adaptive parameter tuning method based on deep learning

The invention discloses a storage system self-adaptive parameter tuning method based on deep learning. The method comprises the steps of I / O bandwidth management of the storage system, I / O load feature recognition and system parameter self-adaptive adjustment and optimization, wherein the I / O bandwidth management is that the bandwidth is allocated through a reinforced fair queuing scheduling algorithm, and an application program can obtain reasonable bandwidth resources. The I / O load feature identification is to perform performance modeling on the storage system by means of a multiple linear regression theory, and dynamically extract a performance model of the storage system by detecting load features. According to the system parameter self-adaptive adjustment and optimization, parametershaving large influence on the performance of the storage system are selected through a Latin hypercube sampling method and a greedy parameter selection algorithm, then an optimization model is trainedthrough a deep neural network, and parameter configuration with the optimal system performance is obtained. The I / O bandwidth can be reasonably managed, load characteristics are detected and identified, important parameters are automatically selected, and the performance of the storage system is optimized.
Owner:HANGZHOU DIANZI UNIV
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