61486 results about "Utilization rate" patented technology

A method comprises collecting utilization data for a resource, and predicting by a power management system, based on the collected utilization data, future utilization of the resource. The method further comprises controlling, by the power management system, power to the resource, based at least in part on the predicted future utilization of the resource. In one embodiment, the utilization data is collected for a plurality of resources that are operable to perform tasks, and the method further comprises determining, by the power management system, how many of the resources are needed to provide a desired capacity for servicing the predicted future utilization of the resources for performing the tasks. The method further comprises configuring, by the power management system, ones of the resources exceeding the determined number of resources needed to provide the desired capacity in a reduced power-consumption mode.

An auction service is provided that stimulates competition between energy suppliers (i.e., electric power or natural gas). A bidding moderator (Moderator) receives bids from the competing suppliers of the rate each is willing to charge to particular end users for estimated quantities of electric power or gas supply (separate auctions). Each supplier receives competing bids from the Moderator and has the opportunity to adjust its own bids down or up, depending on whether it wants to encourage or discourage additional energy delivery commitments in a particular geographic area or to a particular customer group. Each supplier's bids can also be changed to reflect each supplier's capacity utilization. Appropriate billing arrangements are also disclosed.

Methods, systems, and computer program products for improving installation of software packages using an incremental conditional installation process (and optionally, caching of installation components). An object model is disclosed which enables specification of the conditional installation information as one or more elements of the model (and therefore of an object, document, etc., which is created according to the model). Conditional installation information may be defined at a suite level and/or at a component level. The identified checking process then executes to determine whether the corresponding suite or component should be installed. One or more components may be cached, if desired. Resource utilization is improved using the conditional installation and optional caching techniques, enabling reductions in disk space usage, CPU consumption, and/or networking bandwidth consumption.

The invention relates to an artificial intelligence early warning system. The system comprises an intelligent Internet of Things and risk factor data acquisition system (100), and a risk factor management system (200), a cloud computing device (300), a cloud storage device (400), a cloud database (500), and an artificial intelligence early warning operation system (600), an artificial intelligenceearly warning server (700), an internet + distributed early warning police booth (800), a five-level artificial intelligence early warning system (900), a four-level artificial intelligence early warning system (1000), a three-level artificial intelligence early warning system (1100), a two-level artificial intelligence early warning system (1200) and a one-level artificial intelligence early warning system (1300). The artificial intelligence early warning system of the present invention collects, compares, analyzes, deduces, evaluates the risk factors, and carries out the cloud computing, cloud storage, graded alarming and prevention and control, so that all-weather 24-hour monitoring on monitoring points around the police box is achieved, a user can share information, the utilization rate of information resources is increased, and the safety guarantee is increased for maintaining the stability of the borderlands.

A distributed processing system delegates the allocation and control of computing work units to agent applications running on computing resources including multi-processor and multi-core systems. The distributed processing system includes at least one agent associated with at least one computing resource. The distributed processing system creates work units corresponding with execution phases of applications. Work units can be associated with concurrency data that specifies how applications are executed on multiple processors and/or processor cores. The agent collects information about its associated computing resources and requests work units from the server using this information and the concurrency data. An agent can monitor the performance of executing work units to better select subsequent work units. The distributed processing system may also be implemented within a single computing resource to improve processor core utilization of applications. Additional computing resources can augment the single computing resource and execute pending work units at any time.

In next generation wireless networks such as a Mobile WiMAX traffic prioritization is used to provide differentiated quality of service (QoS). Unnecessary ping-pong handovers that result from premature reaction to fluctuating radio resources pose a great threat to the QoS of delay sensitive connections such as VoIP which are sensitive to scanning and require heavy handover mechanisms. Traffic-class-specific variables are defined to tolerate unbalance in the radio system in order to avoid making the system slow to react to traffic variations and decreasing system wide resource utilization. By setting thresholds to trigger load balancing gradually in fluctuating environment the delay sensitive connections avoid unnecessary handovers and the delay tolerant connections have a chance to react to the load increase and get higher bandwidth from a less congested BS. A framework for the resolution of static user terminals in the overlapping area within adjacent cells will be described.

Methods, apparatuses and systems facilitating the configuration of parameters controlling utilization of a network resource. In one embodiment, the present invention allows a network administrator to quickly and easily configure effective bandwidth utilization controls and observe the results of applying them. According to one embodiment, a network administrator is presented with an interface displaying the most significant traffic types with respect to a bandwidth utilization or other network statistic and allowing for the association of bandwidth utilization controls to these traffic types.

A computer system that has multiple performance states periodically obtains utilization information for a plurality of tasks operating on the processor and determines processor utilization according to the utilization information for the plurality of tasks. The system compares the processor utilization to at least one threshold and selectively adjusts a current processor performance state to another performance state according to the comparison.

The invention relates to a system level virtualization technology and an energy-saving technology in the field of the structure of a computer system, and discloses an energy-saving method of a cloud data center based on virtual machine migration and load perception integration. The method comprises the steps: dynamically completing the migration and the reintegration of the load of a virtual machine in the cloud data center by monitoring the resource utilization rate of a physical machine and the virtual machine and the resource use condition of current each physical server under the uniform coordination and control of an optimized integration strategy management module of the load perception and an on-line migration control module of the virtual machine, and tuning off the physical servers which run without the load, so that the total use ratio of the server resource is improved, and the aim of energy saving is achieved. The energy-saving method of the cloud data center based on the virtual machine on-line migration and the load perception integration technology is effectively realized, the amount of the physical servers which are actually demanded by the cloud data center is reduced, and the green energy saving is realized.

Improving the utilization of physical resources and reducing energy consumption in a cloud data center includes providing a plurality of virtual machines in the cloud data center; periodically reallocating resources of the plurality of virtual machines according to a current resource demand of the plurality of virtual machines in order to minimize a number of active physical servers required to handle a workload of the physical servers; maximizing a mean inter-migration time between virtual machine migrations under the quality of service requirement based on a Markov chain model; and using a multisize sliding window workload estimation process for a non-stationary workload to maximize the mean inter-migration time.

The invention discloses a monopole radio frequency antenna comprising a metal sheet, a feeder line and a medium for the placement of the metal sheet and the feeder line. The feeder line is fed into the metal sheet through a coupling mode. The monopole radio frequency antenna has the advantages of small size, simple machining, low cost, high utilization rate of an antenna radiation area, easy matching design of a multimode antenna, high interference resisting capability and the like.

The invention discloses a distributed type dynamic cache expanding method and system supporting load balancing, which belong to the technical field of software. The method comprises steps of: 1) monitoring respective resource utilization rate at regular intervals by each cache server; 2) calculating respective weighing load value Li according to the current monitored resource utilization rate, and sending the weighting load value Li to a cache clustering manager by each cache server; 3) calculating current average load value of a distributed cache system by the cache clustering manager according to the weighting load value Li, and executing expansion operation when the current average load value is higher than a threshold thremax; and executing shrink operation when the current average load value is lower than a set threshold thremin. The system comprises the cache servers, a cache client side and the cache clustering manager, wherein the cache servers are connected with the cache client side and the cache clustering manager through the network. The invention ensures the uniform distribution of the network flow among the cache nodes, optimizes the utilization rate of system resources, and solves the problems of ensuring data consistency and continuous availability of services.

The invention provides an industrial treatment method for oil field waste. The industrial treatment method for oil field waste comprises the following steps: carrying out sampling analysis on the oil field waste, preheating to 80-300 DEG C by using high-temperature steam or conduction oil, then carrying out microwave pyrolysis treatment, controlling pressure at minus 5000 to minus 100 Pa, thus obtaining solid treatment substances and gas, condensing, separating and purifying the gas, and finally recycling so as to obtain water, oil and non-condensable gas. An industrial treatment device for oil field waste comprises a feed hopper, a dryer, a microwave heating cavity, a microwave generator, a heating device and a condensation separation purification device, wherein the feed hopper is connected to the dryer which is connected to the microwave heating cavity, a steam or conduction oil outlet of the heating device is connected to a steam or conduction oil outlet of the dryer; gas outlets of the dryer and the microwave heating cavity are connected to the condensation separation purification device; the microwave generator is connected to the microwave heating cavity. The industrial treatment method and the industrial treatment device have good treatment effects, high utilization rate of energy sources and good economical efficiency.

The invention relates to a software defined networking load balancing device and method belonging to the mobile communication technical field. In the method, core network switches are virtualized as virtual switches according to the business support capability, further network slices are constructed on the basis of the virtual switches; a load balancing device on an SDN (software defined networking) control plane collects user business characteristic information and network slice state information, data stream routing load states and slice built-in virtual switch load states are evaluated, a network slice data stream routing switching strategy is determined so as to realize load balancingamong the network slices and in the slices. According to the method and device provided in the invention, the load balancing among the network slices and in the slices is realized; and the utilization rate and the user QoS of the network equipment can be effectively promoted.

An arrangement structure for a mechanical arm of a minimally invasive surgery robot comprises a main operation end part, an auxiliary operation end part, a driven adjusting arm and a driving operation arm combination. The main operation end part and the auxiliary operation end part are connected in a front and back mode through a vertical column to form a whole, and a sliding block vertically sliding is arranged on the front end face of the vertical column. The driven adjusting arm comprises a first connection rod and a second connection rod, the driving operation arm combination comprises a driving arm support platform, at least three driving arm seats and at least three driving operation arms, and at least three same driving arms are respectively in rotating connection with at least three driving arm seats. The arrangement structure for the mechanical arm of the minimally invasive surgery robot has the advantages that a main operation end is integrated with a driven operating end to enable the robot to be conveniently shifted, the arrangement structure for the mechanical arm of the minimally invasive surgery robot achieves support and adjustment of a plurality of driving operation arms, reduces total volume of the robot, and improves utilization rate of a space in a surgery room, and the arrangement structure for the mechanical arm of the minimally invasive surgery robot not only saves the space of the surgery room, but also has the advantage of being capable of fast moving, and does not need a special surgery room.