36 results about "Resource broker" patented technology

In one embodiment, a wireless-resource broker employs a self-enforcing spectrum-sharing policy, e.g., the expected utility (e.g., rate) a user obtains by following the policy provided by the broker is not less than the expected utility that the user obtains by switching to some other strategy. Each user is associated with one or more transmitter-receiver pairs, e.g., a transmitter of a wireless device and a receiver of a base station in communication via a wireless channel. The broker receives, as input, user parameters characterizing one or more of the transmitters and/or receivers and resource parameters characterizing one or more available spectrum blocks. The broker solves a linear-programming problem to generate and transmit a recommended policy for one or more users. The policy for each user includes information such as the spectrum block(s) to which the user is assigned, the transmission power for the user, and the transmission rate for the user.

A system, method, program product and service for managing bidding in a resource management framework. A buyer's agent is provided to manage the bidding process for resources for a client. The buyer's agent includes the ability to submit a bid to a resource broker to acquire a set of resources for the client based on service level requirements of the client. Once the set of resources is obtained, they are monitored to ensure the required service level of the client is being met. If the service level requirements are not met, the buyer's agent automatically resubmits a bid to the resource broker. Finally, collaboration among a plurality of buyer's agents may be utilized to avoid bidding wars and the like.

A system and method for providing hardware virtualization and resource management in a virtual machine environment. In accordance with an embodiment, an application server environment includes a computer system, application server, and virtual machine (for example, a Java Virtual Machine or JVM). In accordance with an embodiment, a virtualization layer is provided at each physical machine, including a hypervisor for partitioning virtual machines over the machine. An execution layer runs a single Java-based application, focusing on running that application as efficiently as possible. In accordance with another embodiment, the system comprises two main components: a lower-level, execution environment that replaces the usual operating system; and a higher-level, resource broker that is responsible for handing out new virtual machines to the above layers, and for monitoring the current resource usage of the running virtual machines.

This application describes an application of resource unit brokering algorithms, chip management methods for automated brokering, chip management methods for live brokering, and chip allocation methods to the brokering of availability characteristics of service level management within an enterprise. Typically, the availability characteristics are derived from known capacity values that are provided by configuration managers. Calculations are made on the capacity values and maximum quantities of the availability resource units are provided to resource brokers for spot or periodic sale and auction to one or more buyer's agents.

The invention discloses a cloud resource online scheduling method for distributed machine learning tasks. The method comprises the following steps: firstly, starting from each time period, enabling acloud resource broker to observe a price function of each resource of each data center, and the data volume of each task needing to be trained; calculating the sum of all costs generated in the distributed machine learning task scheduling process; representing the sum with integral linear programming; decoupling the relationship between every two adjacent time periods of the relaxed linear programming through a regularization method; converting an online planning problem of the whole T moment which is difficult to process into independent linear planning at each moment. In this way, real-timedecision making can be carried out without depending on future information; and finally, the designed independent rounding method is adopted to solve the deployment scheme and the data migration scheme of the computing node and the parameter server of each machine learning task at each moment, so that the total cost sum is minimum on the basis of ensuring the task completion effect, and the scheduling effect is optimized.

Embodiments of the present invention provide a method for allowing efficient allocation of data center resources in a virtualized data center. In one step, network information is obtained from a network using an application resource broker (ARB). In another step, data center information is obtained from a virtual center server using the ARB. In another step, a set of application traffic metrics and a set of virtualized infrastructure metrics are determined using the ARB based on the obtained network information and data center information respectively. The ARB is implemented on a computer system.

By transmitting information on a condition enabling execution of one service to a resource broker that manages an assignment state of a resource node used among services, a resource node enabling execution of one service out of resource nodes used among services is specified. And by receiving information on use state of the resource node out of the specified resource nodes and based on the information on the received use state, a resource node used for one service out of specified resource nodes is determined.

This application describes an application of resource unit brokering algorithms, chip management methods for automated brokering, chip management methods for live brokering, and chip allocation methods to the brokering of performance characteristics of service level management within an enterprise. Typically, the performance characteristics are derived from known capacity values that are provided by configuration managers. Calculations are made on the capacity values and maximum quantities of the availability resource units are provided to resource brokers for spot or periodic sale and auction to one or more buyer's agents.

This application describes an application of resource unit brokering algorithms, chip management methods for automated brokering, chip management methods for live brokering, and chip allocation methods to the brokering of recoverability characteristics of service level management within an enterprise. Typically, the recoverability characteristics are derived from known capacity values that are provided by configuration managers. Calculations are made on the capacity values and maximum quantities of the availability resource units are provided to resource brokers for spot or periodic sale and auction to one or more buyer's agents.