Apple Inc.

David Anthony Kramer

Richard E Crandall

David Zachary Creemer

Jason Klivington

Robert D Nielsen

Evan T Jones

Robert D Willhoite

A method and system for configuring information for a distributed computing environment is provided. The method and system comprises providing a job containing a list of tasks to a controller, the tasks including a bootstrap tool and configuration information related to the computer network. The method and system also comprises providing a task to each of a plurality of agents on the distributed computer network, each task being based on one of the tasks of the job. The method and system further comprises executing code by each of the plurality of agents based upon the tasks process, wherein the code provides configuration information for a master process and a plurality of slave processes within the distributed computer network. The present invention allows processes run on a distributed set of computers to be provided with appropriate configuration files without requiring the master node to pre-generate those files ahead of time. Specifically, the invention generates the configuration files on the computers that will host the processes. A special bootstrap tool is run on each machine. This tool provides a unique identifier to each process. Each machine running a slave process sends the master process its address, and the master returns a port number.

Automatic configuration information generation for distributed computing environment

A method and apparatus are provided for assigning tasks in a distributed system. The method comprises indicating to one or more remote systems in the distributed system that a task is available for processing based on a list identifying the one or more remote systems. The method further comprises receiving at least one response from the one or more remote systems capable of performing the task based on the indication. The method comprises allowing at least one of the remote systems to perform the task based on the at least one received response.

Assigning tasks in a distributed system

Systems and methods for resource management are provided. In one implementation a computing system is provided. The computing system includes a controller having an associated information base; the information base including a plurality of resource definitions, a partition definition defining a plurality of partitions, and a plurality of queues. Each partition includes a grouping of one or more resources available to process user jobs and each partition has a name. At least one queue of the plurality of queues is associated with each partition in the partition definition. The controller includes an administrative interface for managing partitions, resources and queues and an authorization routine operable to receive named jobs, a named job identifying a partition in the partition definition, and assign named jobs to an associated partition queue for processing by one of the resources in an associated grouping of one or more resources.

System for managing resources partitions having resource and partition definitions, and assigning a named job to an associated partition queue

Image data to be compressed is first converted from the RGB domain into a gamma-powered YUV domain. A wavelet transform then separates image data into high- and low-detail sectors, incorporating a dynamic scaling method, allowing for optimal resolution. The output data from the wavelet transform is then quantized according to an entropy-prediction algorithm that tightly controls the final size of the processed image. An adaptive Golomb engine compresses the data using an adaptive form of Golomb encoding in which mean values are variable across the data. Using variable mean values reduces the deleterious effects found in conventional Golomb encoding in which localized regions of similar data are inefficiently coded if their bit values are uncommon in the data as a whole. Inverse functions are applied to uncompress the image, and a fractal dithering engine can additionally be applied to display an image on a display of lower color depth.

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Santa Clara, CA, United States of America

David Anthony Kramer