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799 results about "Bandwidth utilization" patented technology

Access point multi-level transmission power and protocol control based on the exchange of characteristics

A wireless access point and multiple wireless terminals exchange utilization, status, mobility and reception characteristics. Each wireless terminal generates reception characteristics based on transmissions received from the wireless access point and from other devices in the network. In one operating mode, the characteristics gathered by the wireless devices are forwarded to the wireless access point, and, based on all received characteristics, the wireless access point selects its own transmission power for different types of the transmission. In another mode, all characteristics are exchanged between every wireless terminal and the access point so that each can independently or cooperatively make transmission power control decisions. In a further mode, the wireless access point adjusts protocol parameters based on an assessment of the characteristics received from the client devices. The utilization, status, mobility, and reception characteristics include received signal strength, error rates, estimated battery life, availability of unlimited power, active versus sleep mode ratios, anticipated bandwidth utilization, coding schemes available, deterministic/non-deterministic requirements, encryption and security requirements, quality of service requirements, position, velocity, stationary status, etc. Gathering of such characteristics involves both retrieval of preset parameters from memory and generating parameters based on received transmissions (including test packets).

Method and system for weighted fair flow control in an asynchronous metro packet transport ring network

InactiveUS7061861B1Large amount of available bandwidthExcessive buffering delayError preventionFrequency-division multiplex detailsQuality of serviceRing network
A method and system for implementing weighted fair flow control on a metropolitan area network. Weighted fair flow control is implemented using a plurality of metro packet switches (MPS), each including a respective plurality of virtual queues and a respective plurality of per flow queues. Each MPS accepts data from a respective plurality of local input flows. Each local input flow has a respective quality of service (QoS) associated therewith. The data of the local input flows are queued using the per flow queues, with each input flow having its respective per flow queue. Each virtual queue maintains a track of the flow rate of its respective local input flow. Data is transmitted from the local input flows of each MPS across a communications channel of the network and the bandwidth of the communications channel is allocated in accordance with the QoS of each local input flow. The QoS is used to determine the rate of transmission of the local input flow from the per flow queue to the communications channel. This implements an efficient weighted bandwidth utilization of the communications channel. Among the plurality of MPS, bandwidth of the communications channel is allocated by throttling the rate at which data is transmitted from an upstream MPS with respect to the rate at which data is transmitted from a downstream MPS, thereby implementing a weighted fair bandwidth utilization of the communications channel.

Method and system for distributing cloud computing resources

The invention discloses a method and a system for distributing cloud computing resources, and relates to the field of cloud computing resource scheduling. The method comprises that various performance indexes of the cloud computing resources of a client are monitored; a current health degree value of the cloud computing resources is calculated according to the monitored various performance indexes and a cloud resource health degree model, wherein the current health degree value can reflect the various performance indexes comprehensively; when the current health degree value exceeds a cloud resource performance alarming threshold value, an cloud resource performance alarm is sent so as to prompt the client that cloud computing resource allocation needs to be optimized; and the cloud computing resources needed by the client are distributed according to a pre-set cloud resource optimization allocation strategy. Automatic monitoring is conducted on the cloud computing resources such as performance indexes of a central processing unit (CPU), internal memory, discs, network input or output (I/O). The current health degree of the cloud resources is calculated according to the performance indexes and the health degree model, and intelligent distribution of the cloud resources is achieved by utilizing an automation resource scheduling technology of cloud computing, and therefore optimal performance of the cloud resources is ensured.
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