3838 results about "Resource consumption" patented technology

Access to a communications network may be provided via a data provider that may charge for access. In some cases, the access fee may be related to the amount of network resources consumed (e.g., amount of data downloaded or bandwidth used). In some cases, a user may have access to a particular amount of data provider resources and be required to pay an additional fee for using resources in excess of the particular amount. To assist the user in managing his data resource consumption, a resource utilization component may provide different alerts and notices informing the user of current consumption, expected future consumption, and recommendations for reducing data provider resources consumed (e.g., stopping particular processes or data provider requests, such as downloading media). If several electronic devices in a network are connected to the same data provider resources, a network component may manage the data provider resource use among the several electronic devices (e.g., allow only particular users or devices access).

This invention provides a novel means for creating a histogram for use in minimizing response time and resource consumption when optimizing a query in a database, and other like structures, the histogram being created by placing ordered elements into specific range until the next element to be considered for inclusion in the range is a predetermined distance from the (generalized) mean value associated with the elements within the range, whereupon that next element is placed in the following range. Similarly, the following ranges are closed when the next element to be considered for inclusion in the range is greater than a predetermined distance from the (generalized) mean value associated with the elements in that range, whereupon that next element is placed in the following range. For each range, the location and size of the range is recorded with, for example, the mean value, the slope or other attribute characterizing one or more elements in the range. The invention has also applications in pattern recognition, message routing, and in actuarial sciences.

A method is provided for continuous optimization of allocation of computing resources for a horizontally scalable application which has a cyclical load pattern wherein each cycle may be subdivided into a number of time slots. A computing resource allocation application pre-allocates computing resources at the beginning of a time slot based on a predicted computing resource consumption during that slot. During the servicing of the workload, a measuring application measures actual consumption of computing resources. On completion of servicing, the measuring application updates the predicted computing resource consumption profile, allowing optimal allocation of resources. Un-needed computing resources may be released, or may be marked as releasable, for use upon request by other applications, including applications having the same or lower priority than the original application. Methods, computer systems, and computer programs available as a download or on a computer-readable medium for installation according to the invention are provided.

A power-aware monitor is provided for controlling the execution of state-unaware applications and optimizing their execution in light of power consumption issues. The power-aware monitor examines application usage to build profiles of resource consumption. When an application starts execution, the monitor determines the state of the battery to influence policy decisions. The monitor maintains a list of rules, which it uses in deciding policy. The user may modify these rules to override default behavior. The rules dictate whether an application executes unfettered, has its I/O, computation, or other activity restricted or delayed, or is completely aborted. When in doubt, the monitor may prompt the user for a decision.

Computerized methods, systems, and computer-storage media for allowing virtual machines (VMs) residing on a common physical node to fairly share network bandwidth are provided. Restrictions on resource consumption are implemented to ameliorate stressing the network bandwidth or adversely affecting the quality of service (QoS) guaranteed to tenants of the physical node. The restrictions involves providing a scheduler that dynamically controls networking bandwidth allocated to each of the VMs as a function of QoS policies. These QoS policies are enforced by controlling a volume of traffic being sent from the VMs. Controlling traffic includes depositing tokens into token-bucket queues assigned to the VMs, respectively. The tokens are consumed as packets pass through the token-bucket queues. Upon consumption, packets are held until sufficient tokens are reloaded to the token-bucket queues.

Methods and systems for improved management of power utilization and resource consumption among physical hosts in a cloud computing environment. The management server may provide functionality facilitating the identification and optimized placement of a virtual machine within a cloud computing environment by evaluating historical and heuristic metrics data associated with both the physical hosts and the virtual machines. The management server utilizes the metrics data to generate scores for a plurality of physical host based on physical resources available in a cloud of computing resources. The management server identifies a physical host on which to place a virtual machine using the metrics data, generated scores, and numerous, configurable criteria. The management server responds to the identification of the physical host on which to place a virtual machine by adjusting processor performance and/or operating states for one or more of the physical hosts in the cloud computing environment.

An apparatus and method to automatically activate a reserve resource when the load on a number of active resources (e.g., a number of CPUs or servers) meets a threshold. A resource usage policy specifying at least one threshold and having a corresponding task is compared to a monitored load on the active resource. When the monitored load meets the threshold as specified in the resource usage policy, the corresponding task is performed. For instance, the corresponding task can be to signal an event manager (e.g., a pager), to activate a reserve resource, etc. Once a reserve resource is activated, the load is balanced among the number of active resources and the activated reserve resource. When the load drops below the threshold, the processor can deactivate the reserve resource. In a preferred embodiment, the processor updates a configuration profile for tracking each of the resources. Another embodiment includes charging a fee for monitoring and activation.

A database system includes servers configured to receive requests from user systems. Each server includes a local and a global store. Each local store stores the number of requests received by its server. The system includes a processor configured to receive the number of requests from servers. The processor is configured to determine the number of requests received by all of the servers, and send this number of requests to each server. The global store stores the number of requests received from the processor. A given server is configured to compare the number of requests received by the servers with a threshold number. If this number is greater than the threshold number, then the given server is configured to send a message to the user systems that the number of threshold requests has been exceeded and/or the given server will discontinue accepting requests.

An apparatus and method for distributing traffic across a group of machines using application instance statistics. In order to perform load balancing in accordance with the present invention, a method of generating weights to bias load balancing distributions is provided. The application instances to which traffic is being distributed, or the application middleware, are instrumented to establish certain metrics about the application while running. The application instance instrumentation will provide application statistics such as number of successful transactions, application response times, application topology, importance of transactions being processed, time the application is blocked waiting for resources, resource consumption data, and the like. These metrics are collected, processed, and then presented as a set of weights to the load balancing apparatus to govern its distribution of traffic. With such application metrics available, traffic can be disbursed based on the current state of the application instances and other application instances in the transaction's path, the application instance's likelihood to complete the request, or even higher level business-oriented goals.

A system and method for automatic workload characterization are provided. Transactions performed in a computer system may be logged. The log of transactions comprises a timestamp for each transaction. Resource usage in the computer system may be logged. The log of resource usage comprises one or more periods of time during which each of a plurality of resources is used, and the log of resource usage comprises a plurality of system performance metrics which reflect resource consumption by one or more processes that performed the transactions. The timestamps in the log of transactions may be compared to the periods of time in the log of resource usage. It may be determined which transactions used which resources as a result of the comparing the timestamps in the log of transactions to the periods of time in the log of resource usage. One or more workloads may be determined using the determining which transactions used which resources. Heuristics may be used to group processes into workloads.

The invention relates to the control of servers which process client work requests in a computer system on the basis of resource consumption. Each server contains multiple server instances (also called "execution units") which execute different client work requests in parallel. A workload manager determines the total number of server containers and server instances in order to achieve the goals of the work requests. The number of server instances started in each server container depends on the resource consumption of the server instances in each container and on the resource constraints, service goals and service goal achievements of the work units to be executed. At predetermined intervals during the execution of the work units the server instances are sampled to check whether they are active or inactive. Dependent on the number of active server instances the number of server address spaces and server instances is repeatedly adjusted to achieve an improved utilization of the available virtual storage and an optimization of the system performance in the execution of the application programs.

A method, system, and computer program product for controlling customer resources for Internet protocol (IP) traffic delivery are disclosed. The network utilization of a group of endpoints on a network is tracked to generate group utilization level information corresponding to a current amount of network resource consumption by the group of endpoints. A request for network resources for a data flow for an endpoint in the group is received from a router associated with that endpoint. The request for network resources includes an identifier associated with the endpoint. A determination is made whether to accept the request based on the group utilization level information, the identifier, and a first predetermined profile associated with the group and including a first network utilization limit.

The invention discloses a convolution network arithmetic unit, a reconfigurable convolution neural network processor and an image de-noising method of the reconfigurable convolution neural network processor. The reconfigurable convolution neural network processor comprises a bus interface, a preprocessing unit, a reconfigurable hardware controller, an SRAM, an SRAM control module, an input caching module, an output caching module, a memory, a data memory controller and the convolution network arithmetic unit. The processor is featured by few resources and rapid speed and can be applicable to common convolution neural network architecture. According to the unit, the processor and the method provided by the invention, convolution neural networks can be realized; the processing speed is rapid; transplanting is liable to be carried out; the resource consumption is little; an image or a video polluted by raindrops and dusts can be recovered; and raindrop and dust removing operations can be taken as preprocessing operations for providing help in follow-up image identification or classification.

A network includes a smart coupler having a processor, a memory with software, and a power source to energize the processor and the memory, and an appliance configured to perform an operation on a physical article. The appliance is one that consumes at least some of a resource in performing the operation. The network also includes a source of information about the resource. The smart coupler is in communication with the appliance and the source, and the processor and memory operate to request a change to the operation of the appliance in response to a resource parameter or a request communicated by the source.

According to at least one embodiment, a method comprises identifying at least one causal path that includes a node of a distributed computing environment that is of interest. The method further comprises analyzing the identified at least one causal path to determine at least one time interval when the node is active in such causal path, and correlating consumption of a resource by the node to the node's activity in the at least one causal path.

The subject disclosure provides systems and methods for recommending optimal consumption of a variety of resources that may be consumed by a consumer. A recommendation provided by the system may be based upon resource-consumption statistics gathered by a plurality of sensors, consumer's resource-consumption behavior, consumer-defined criteria, resource availability, and a cost of consumption. The recommendation may include a recommendation on how the consumer may lower resource consumption costs. The recommendation may further include optimal consumption considering consumption trends of a plurality of consumers living in a geographical proximity. The recommendation may include optimal usage of a consumer's vehicle such that the vehicle may consume the least amount of energy. The recommendation may further include offer(s) of credit/incentives by resource providers to consumers in exchange for less consumption of resource, alternative consumption of resources, and any combination thereof.

A computing device including an indicator predicting use of a network resource. The indicator may provide an indication that a threshold associated with a budget for the network resource has or will be reached. When a user requests a network operation that will consume the network resource, an amount of the network resource to be consumed by the operation is predicted, if possible. If the prior use of the network resource and the amount to be used to complete the network operation exceeds a threshold the user may be warned and given an opportunity to cancel the operation or adjust the way in which the operation will be performed. If the amount of network resource a network operation will consume is unknown, a rate of use of the network resource is determined and a time until the budget is reached is estimated. An administrative tool is provided for managing network resources and setting budgets for resource consumption by users, devices, or applications.

The invention discloses a message processing system and processing method based on kafka and belongs to the technical field of message processing. The message processing system and processing method based on kafka are aimed to solve the problems of the prior art that repeated messages appear in an order system frequently, the processing for each message consumes much system resource, the system resource consumption would greatly increase the database visitor volume at the consumer end, the message processing ability is lowered, and the system stability and service effectiveness are lowered. The message processing system based on kafka comprises a message producer cluster composed of one or more message producers, a kafka cluster, and a consumer cluster composed of one or more consumers, the kafka cluster is composed of one or more servers, and the consumer cluster comprises a filter module, a local message queue caching module and a business processing module. The message processing method realized through the system is used for the system especially the order system which needs to process a large number of messages.

The invention discloses an application freezing method. The method comprises the steps that when target application meets the preset conditions, a system resource occupied by the target application is isolated, the target application is isolated from a system framework, a freezing signal is sent to a process group of the target application, and the target application is in a freezing state. In this way, before freezing is conducted on the process group of the target application, the system resource occupied by the target application is isolated firstly, then the target application is isolated from the system framework, the freezing signal is sent to the process group of the target application finally, and freezing is achieved. After the target application is frozen, the target application does not occupy the system resource any more, the resource waste is avoided, resource consumption such as electric quantity consumption and flow consumption which are not expected by a user is reduced in use, and the user experience is improved.

The invention discloses an authority management method and device for a block chain system. The method comprises the following steps of generating an authority tree with a user as a root node according to user registration information after the user logs in to the system successfully, wherein the authority tree takes a user role, user permission and a block chain as a sub-node of each layer; and when the user carries out an operation on the block chain, informing a control module to traverse the authority tree corresponding to the user, judging whether the user has legal permission to carry out the operation on the block chain according to a traversing result of the control module, if yes, allowing the operation, and if no, forbidding the operation. According to the method and the device, the flexible authority control is carried out on the authority management by the authority tree, and furthermore, the authority tree has the characteristics of less number of layers and quick updating, so that the authority resource consumption can be reduced, and the efficiency for authority management is also guaranteed.

A resource monitoring system that includes at least one resource monitoring device. The resource monitoring device is integrated in, connected to and/or interconnected to at least one resource consuming device. A remote monitoring location can optionally be provided to receive information from one or more resource monitoring device and to provide information concerning and/or related to at least one resource consuming device.

The present invention provides a port-based technique to manage processing resources that can be utilized by an Operating System. The systems and methods consider time parallelism and pre-emption through sends, receives, and execution context, wherein scheduling of execution units occurs via (aperiodic and/or periodic) communication rather than time slicing. The systems and methods employ a resource manager that listens behind a port associated with a processor, which enables the processor to transition to a reduced power consumption state. When a request for processing resources arrives at the port, the resource manager can allocate the processing resources, wake the processor, and/or return a communication, which can include a location of allocated memory and an execution context of the processor, to a reply channel. Alternatively, the resource manager can preempt the request to mitigate processing resources consumption.