A scheduler for a compute cluster that allocates computing resources to jobs to achieve a balanced distribution. The balanced distribution maximizes the number of executing jobs to provide fast response times for all jobs by, to the extent possible, assigning a designated minimum for each job. If necessary to achieve this minimum distribution, resources in excess of a minimum previously allocated to a job may be de-allocated, if those resources can be used to meet the minimum requirements of other jobs. Resources above those used to meet the minimum requirements of executing jobs are allocated based on a computed desired allocation, which may be developed based on respective job priorities. To meet the desired allocation, resources may be de-allocated from jobs having more than their desired allocation and re-allocated to jobs having less than their desired allocation of resources.

Compute cluster with balanced resources

A scheduler for computing resources may periodically analyze running jobs to determine if additional resources may be allocated to the job to help the job finish quicker and may also check if a minimum amount of resources is available to start a waiting job. A job may consist of many tasks that may be defined with parallel or serial relationships between the tasks. At various points during execution, the resource allocation of active jobs may be adjusted to add or remove resources in response to a priority system. A job may be started with a minimum amount of resources and the resources may be increased and decreased over the life of the job.

Scheduling by Growing and Shrinking Resource Allocation

A system and method for managing vehicles on a road network can include a processor that performs operations including accessing a matrix of vehicle parameters of a plurality of communicating vehicles on the road network and representing the plurality of communicating vehicles in a graph with a plurality of nodes corresponding to the plurality of communicating vehicles and edges corresponding to the vehicle parameters. The system and method can include partitioning, with a processing device, the graph to reduce disruptions to the road network below a threshold level to support safe and efficient traffic flow and assigning one or more exclusion zones within the road network to each partition of the graph by associating the vehicle parameters for each vehicle.

Managing vehicles on a road network

Indexing documents is performed using low priority I/0 requests (Figure 2, 212). This aspect can be implemented in systems having an operating system that supports at least two priority levels for I/0 requests to its filing system (Figure 2, 202). Low priority I/0 requests can be used for accessing documents to be indexed (Figure 2, 212). Low priority I/0 requests can also be used for writing information into the index (Figure 2, 212). Higher priority requests can be used for I/0 requests to access the index in response queries from a user (Figure 2, 210) I/0 request priority can be set on a per-thread basis as opposed to being set on a per-process basis (which may generate two or more threads for which it may be desirable to assign different priorities) (Figure 2).

Back-off mechanism for search

There is used a data flow control order generating apparatus that includes: a sensor side metadata acquisition unit acquiring sensor side metadata as information related to a sensor that outputs sensing data; an application side metadata acquisition unit acquiring application side metadata as information related to an application that provides a service by using the sensing data; a matching unit performing matching between the sensor side metadata and the application side metadata to extract the sensor capable of providing the sensing data that satisfies the request of the application; and an instruction unit transmitting a data flow control order that identifies the sensor extracted by the matching unit and the application to a sensor managing apparatus that manages the sensor.

Data flow control order generating apparatus and sensor managing apparatus

Scheduling a set of anytime tasks includes assigning a percentage of at least one resource to each of the set of anytime tasks and allowing each of the set of anytime tasks to use the at least one resource in accordance with the respective assigned fraction. The percentage of the at least one resource assigned to each of the set of anytime tasks is subsequently adapted.

Adaptive scheduler for anytime tasks

Successful multiprocessor system design for complex real-time embedded applications requires powerful and comprehensive, yet cost-effective, productive, and maintain able modeling. The multi-disciplinary, VHDL-based modeling library developed by the Honeywell Technology Center places heavy emphasis on multiprocessing and distributed communications. These models focus on detailed hardware performance analysis along with multiple abstraction levels for software representation and evaluation. This paper will detail the processor model which provides the key element for the coanalysis of hardware and software system architectures.

A model for the coanalysis of hardware and software architectures

A method for enhancing the reliability of a simplified multicasting forwarding protocol in a wireless network is provided. The method comprises establishing a list of multi-point relaying (MPR) nodes for each of a plurality of nodes. The list of MPR nodes includes neighbor nodes that cover each of the plurality of nodes within two hops. A first set of nodes is identified that is not already in the list of MPR nodes. In a first approach, the first set of nodes includes nodes that are the only neighbor node to a node in the list of MPR nodes. In a second alternative approach, the first set of nodes includes nodes that are sequentially previous to a node in the list of MPR nodes. Once the first set of nodes is identified, the first set of nodes is added to the list of MPR nodes. If the first approach is used, the method further comprises identifying a second set of nodes that is not already in the list of MPR nodes. The second set of nodes comprises nodes that have the largest number of neighboring MPR nodes. The second set of nodes is then added to the list of MPR nodes.

Method for enhancement of multicasting forwarding protocol in a wireless network

Model-driven development for the seL4 microkernel using the HAMR framework

A method of determining the sequence of traversing nodes in a communication network is provided. The method comprises with each node, determining other nodes in the network it can reach in a single hop. Creating a local sequence connection order based on the determined other nodes the node can reach in a single communication hop. Storing historical data of local sequence connection order information and determining a new local sequence connection order based in part on the historical data and communication information.

Automatic sequencing based on wireless connectivity

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