145 results about "Resource efficiency" patented technology

A method, system and computer program product for providing a service to multiple tenants of an application. Responsive to receiving from a client of a tenant a request, a tenant context of the tenant is bound to the request. With respect to an access to an isolation point of the application in the request, the access to the isolation point is redirected to a partition based on the tenant context bound to the request. The partition may be pre-established for the tenant with respect to the application. Hence, it is possible to provide a multi-tenant solution in a convenient, fast, and cost-effective way, and, in turn, to achieve resource sharing to a greater extent and enhance the resource efficiency.

The present invention provides methods and systems to enable fast, efficient, and scalable means for fingerprinting textual information using word runs. The present system receives textual information and provides algorithms to convert the information into representative fingerprints. In one embodiment, the fingerprints are recorded in a repository to maintain a database of an organization's secure data. In another embodiment, textual information entered by a user is verified against the repository of fingerprints to prevent unauthorized disclosure of secure data. This invention provides approaches to allow derivative works (e.g., different ordering of words, substitution of words with synonyms, etc.) of the original information to be detected at the sentence level or even at the paragraph level. This invention also provides means for enhancing storage and resource efficiencies by providing approaches to optimize the number of fingerprints generated for the textual information.

A method and computer program product is provided that, in various embodiments, may provide a measure of efficiency of resources used in medical treatment plan options. A normalized Relative Resource Value (RRV) may be obtained that measures the level of resources required to satisfy a “normal” case for a particular aspect of medical care. Applying this value against actual costs allows ranking and/or comparison of health care providers relative to one another on the basis of the price or resources applied or utilized. Moreover, applying the RRV against the quality of outcome allows comparison and ranking of providers on overall value. The invention may be applied to the components of medical care comprising, inter alia, acute inpatient, non-acute inpatient, outpatient, professional office-based care including scheduled outpatient, and pharmacy/prescriptions. The normalized RRV obtained under various embodiments of the invention may measure resource use for medical treatment plan options/resources independent of price. The RRV may be relative across, as well as within, each of the components of medical care. Thus, provider profiling generally as well as profiling across treatment plan options based on efficiency generally is within the scope of various embodiments of the invention. Moreover, providers may be compared based on efficiency for specific conditions, as well as across conditions, across treatment plan options and across components of care using various embodiments of the invention.

A system configuration and techniques for optimizing schedules and associated use predictions of a multiple resource planning workflow are disclosed herein, applicable to environments such as radiologist scheduling in a teleradiology workflow. In one embodiment, a series of computing engines and components are provided to allow detailed forecasting and the generation of customized recommendations for scheduling and other resource usage scenarios. This forecasting can factor resource efficiencies, changes in resource demand volume, resource specialties, resource usage preferences, expected future events such as the removal or addition of resources at future times, and other resource availability or usage changes. The forecasts may be further enhanced through the use of historical data models and estimated future data models. Additionally, a calendar and other tools may be presented through a user interface to allow forecast and scenario customization based on selection of a series of future dates.

A method and apparatus for resource allocation in a multi-carrier wireless communication system enables transmission using smaller resource units and achieves efficient transmission of data channels with very low data rates, scheduling a greater number of user equipments without additional control channel overhead while maintaining compatibility with the resource allocation scheme of legacy user equipments. Thus, one cell controls a larger number of user equipments. In addition, as multiple user equipments are scheduled using a single control channel, resource efficiency is increased.

Methods and apparatus minimize message latency time by dynamically controlling an amount of message bundling that occurs in a computer network application. Unbundled messages are allowed while a bottleneck resource, such as a network link, is lightly utilized, but the amount of bundling is progressively increased as the message rate increases, thereby progressively increasing resource efficiency.

The invention discloses a method for real-time reserving of a parking space of a parking lot based on parking space prediction and parking selection. The method comprises the steps: carrying out the long-time prediction of unoccupied parking spaces of a parking lot nearby a destination in preset arrival time, and carrying out the selection of the parking lot under the consideration of the occupancy of the parking spaces, parking charge and walk distance of the parking lot, so as to select a to-be-reserved parking lot. In order to solve a problem that long-time parking space prediction may cause the insufficient precision, a system will carry out the short-time prediction of the to-be-reserved parking lot in a travel process, and finally confirm the reserving. The method can iron out the defects that a conventional strategy has no unoccupied parking space risk and is low in resource efficiency, facilitates the increase of probability that there is still an unoccupied parking space when a user arrives at the parking lot, reduces the parking searching, improves the utilization efficiency of public parking resources, and improves the urban intelligentization level.

The invention provides a power control method in an uplink (a reverse link) of a wireless communication system. The core of the method is as follows: a user (a mobile station ) dynamically carries out power control and adjusts transmission power by path loss (or large scale fading value comprising path loss, shadowing fading, serial gain, penetration loss)measured by a DwPTS and by the different value of path loss between the strongest interference zone and a service zone. The method provided by the invention dynamically adjusts power control parameters, carries out power control and adjusts emission power of the user (the mobile station) according to a position of the user, appropriately reduces emission power of marginal users, thus reducing interference generated by the marginal users (the mobile station), optimizes the resource efficiency of a system and improves the performance of the system under the premise of not losing fairness.

The invention discloses a heterogeneous wireless peer-to-peer (P2P) network file sharing system and a file transmission acceleration method. In a heterogeneous wireless fusion network access environment, factors such as an access network type, a terminal node downloading rate, an inter-node network distance and round-trip time are comprehensively combined for the characteristics of a fusion network, and a seed node is selected by utilizing an optimization theory in engineering to provide an acceleration method for a file sharing service of a terminal on the basis of an extended P2P-Bittorrent protocol. A proper seed node is selected, and a network service with high data traffic and a heavy load is transferred into an idle network, so that the load balance of the whole network structure is realized, and the resource efficiency of a plurality of heterogeneous fusion networks is optimized.

The invention discloses a method for recovering tin by centrifugal concentration, belonging to the technical field of metal ore concentration. The method comprises the following steps of: recovering and enriching a tin resource from a tin-containing ore by using a high-speed centrifugal concentrator together with a shaking table; performing pretreatment or not performing treatment according to the milling characteristic of a tin ore; entering the high-speed centrifugal concentrator for rough gravity concentration; enriching to obtain a tin rough ore concentrate; removing tailings; and selecting the tin rough ore concentrate by using the shaking table to obtain a tin ore concentrate. The method has the advantages of high process specificity, high resource efficiency, remarkable economic benefit, small investment, small floor area and the like.

The invention discloses a container-based cloud computing platform task processing method, A system and an application method thereof, the invention utilizes the container arrangement technology to identify the syntax definition in the parsing calculation task based on the programming syntax, Thus, the processing of the cycle in the computing task and the processing of the dependency relationshipamong the computing tasks are realized. The computing results are transmitted to the data warehouse after the running of the container of the computing subtask Ai to complete the processing of the cloud computing platform task based on the container. The invention is directed to users with certain programming ability, The invention provides parallel and serial running algorithm task support, solves the problem of interdependence among computing sub-tasks, and can process the computing sub-tasks according to the user-defined tasks of its own business, and complete the business processing by combining the computing sub-tasks with the existing container resource orchestration scheduling, which can effectively improve the practicability of the platform and optimize the resource efficiency of the platform.

The invention relates to an adaptive load balancing energy consumption optimization method and system in a spectrum flexible optical network, which is designed in order to effectively improve the spectrum resource efficiency of the optical network and reduce the energy consumption of the optical network. Different linear rate and modulation format combinations are adopted for each connection request so as to bear bandwidth requirements of the connection request, and the weight of each optical fiber link is dynamically adjusted according to a distance-adaptive load balance adjustment method so as to enable the connection request to select a lightly-loaded optical fiber link to act as a transmission path. According to the invention, some short-distance optical fiber links are avoided from being selected by excessive connection requests to result in congestion, thereby improving the resource efficiency of the spectrum flexible optical network, and realizing high energy consumption efficiency.

The embodiment of the invention discloses a forwarding service chain generation method and a network function virtualization orchestrator (NFVO). The method is applied to a network function virtualization (NFV) system. The NFV system comprises the network function virtualization orchestrator (NFVO), and at least one virtual function module. The virtual function module is deployed on at least one physical machine. The method comprises the steps that the NFVO obtains forwarding service chain generation information, wherein the forwarding service chain generation information comprises forwardingrelationship information, deployment relationship information and physical machine resource usage information; and a forwarding service chain is determined according to the forwarding service chain generation information, wherein the resource efficiency and the forwarding efficiency of the NFV system under the forwarding service chain satisfy a preset condition at the same time. Under the condition that a physical topology is not sensed by an application, the relatively high resource efficiency and forwarding efficiency can be obtained at the same time.

The invention provides a modularized cloud computing system. The modularized cloud computing system comprises a cloud center and a local terminal which is in communication connection with the cloud center, wherein the cloud center comprises a cloud computing management center and a software module cloud management center; the cloud computing management center is used for dynamically allocating cloud computing resources, managing a session and managing cloud storage resources; the software module cloud management center is used for managing and maintaining a software module; and the local terminal is used for managing local computing resources and local storage resources. Compared with the prior art, the modularized cloud computing system has the advantage that computing resources are separated from software module resources, so the problems of low module resource efficiency, high maintenance cost, high storage resource occupation and the like are solved.

The present invention is a hybrid of a centralized solution and totally distributed peer-to-peer solution. It uses the load distribution idea of the peer-to-peer world. By splitting the multicast stream into a number of segments and transferring them through different trees, it overcomes the unbalanced resource usage faced by traditional single tree multicasting, thus improves the bandwidth efficiency of the network system and performance of the multicast application. In other words, it introduces the high resource efficiency of a peer-to-peer system into a network provider domain.

The invention discloses a virtual machine scheduling method for safely improving resource efficiency in Iaas cloud. Optimization is conducted from two aspects, and one aspect is the aspect of static deployment of a virtual machine, wherein the physical capacity and the bandwidth capacity are met to minimize the resource consumption of a data center; the other aspect is the aspect of dynamic migration of the virtual machine. In the aspect of the static deployment of the virtual machine, the physical capacity and the bandwidth capacity are met to minimize the resource consumption of the data center; through the resource consumption change of the virtual machine in the dynamic change process, running of the virtual machine is guaranteed to the greatest extent; in the aspect of the dynamic migration of the virtual machine, the migration cost is minimized to obtain the maximum link utilization rate and reduce the resource consumption. According to the virtual machine scheduling method for safely improving the resource efficiency in the Iaas cloud, the minimum migration cost is adopted to obtain the maximum link utilization rate and reduce the resource consumption.