Oracle International Corporation

Sun Microsystems, Inc.

Oracle America, Inc.

Jonathan Chew

Eric Christopher Saxe

Bart Smaalders

Darrin Paul Johnson

Nicolas Michael

Nicolas G Droux

Andrew G Tucker

Andrei Dorofeev

Steven J Sistare

Chen Wang

Tim P Marsland

Rajagopal Kunhappan

Kevin J Clarke

Rafael Vanoni Polanczyk

Junsang Cho

Robert L Berube

To schedule a software thread for execution on a CPU in a multiprocessor system, a scheduler uses both software and hardware utilization information. For a thread, resource demands (including software and hardware resource demands) are determined based on measuring resource usage while the thread executes on the multiprocessor system without being isolated from any other threads that may run concurrently. For at least two processor cores, resource usage is calculated based on any threads already running on it. The software thread is assigned to a strand in the processor core with optimum available resources given the thread's resource demands.

Optimized thread scheduling on processor hardware with performance-relevant shared hardware components

A system and method for facilitating allocating computing resources to workloads, facilitating workload performance isolation. An example method includes determining one or more workloads to be allocated a set of computing resources in the computing environment, the one or more workloads characterized by metadata describing one or more workload properties; and using the one or more workload properties to calculate a binding between each of the one or more workloads and one or more corresponding portions of the computing resources. Plural competing workloads may be isolated by binding each workload to a disjunct set of Central Processing Units (CPUs) that share as few common hardware resources as possible given a topology the computing resources. Resource allocation adjustments need not require any reconfiguration of the system or adjustment to already provisioned workloads.

Dynamic performance isolation of competing workloads on CPUs with shared hardware components

In general, embodiments of the invention relates to a method for conveying hardware resources from a host (OS) executing on a computer system. The method includes obtaining host hardware information by the host OS, wherein the host hardware information specifies a plurality of physical hardware components of the computer system, sending the host hardware information to a guest OS executing within the host OS, generating, by the guest OS, a resource request using the host hardware information, sending, by the guest OS, the resource request to the host OS, and in response to receiving the resource request, allocating, by the host OS, guest hardware resources, where the guest hardware resources include at least one of the physical hardware components in the resource request.

Guest-initiated resource allocation request based on comparison of host hardware information and projected workload requirement

A method for binding input/output (I/O) objects to nodes includes an subsystem receiving a request to use an I/O device from a process, determining a first resource to service the request, generating a first I/O object corresponding to the first resource, wherein the first I/O object is unbound, and sending the first I/O object to a Non-Uniform Memory Access (NUMA) I/O Framework. The method further includes the NUMA I/O Framework selecting a first NUMA node of a plurality of NUMA nodes, to which to bind the first I/O object and binding the first I/O object to the first NUMA node. The method further includes servicing the request by processing, on the first NUMA node, the first resource corresponding to the first I/O object.

Numa I/O framework

A method for scheduling a new thread involves identifying a criticality level of the new thread, selecting a processor group according to the criticality level of the new thread and an existing assigned utilization level of the processor group to obtain a selected processor group, increasing an assigned utilization level of the selected processor group based on the new thread, and executing the new thread by the selected processor group.

Method and system for scheduling threads

A method for power managing hardware. The method includes determining hardware to power manage, sending a tracing request from a power management control to a tracing framework to obtain usage data of the hardware, and identifying a first probe to obtain first tracing data corresponding to the usage data in a first hardware control software component, where the first hardware control software is configured to interact with the hardware. The method further includes enabling the first probe, obtaining the first tracing data from the first probe, where the first tracing data is obtained when the first probe is encountered during execution of the first hardware control software, and modifying operation of the hardware using the first tracing data.

Method and system for power management using tracing data

A device, system, and method are directed towards managing threads and components in computer system with one or more processing units. A processor group has an associated hierarchical structure containing nodes that may correspond to processing units, hardware components, or abstractions. The processor group hierarchy may be used to assign one or more threads to one or more processing units, by traversing the hierarchy based on various factors. The factor may include load balancing, affinity, sharing of components, loads, capacities, or other characteristics of components or threads. A processor group hierarchy may be used in conjunction with a designated processor set.

Scheduling threads on processors

An abstraction layer is comprised in the operating system that represents the particulars of the PPMs. The abstractions in the abstraction layer are differentiated from one another by parameters representing the characteristics of the PPMs. The dispatcher uses the abstraction to balance processing loads when assigning execution threads to the PPMs. The assigning of the execution threads and the balancing of the processing loads is performed while taking account of the characteristics of the PPMs, such as shared resources and clock speed.

Processor specific dispatching in a heterogeneous configuration

A method and system of managing resource allocation in a non-uniform resource access computer system is disclosed. A method comprises determining access costs between resources in a computer system having non-uniform access costs between the resources. The method also includes constructing a hierarchical data structure comprising the access costs. The hierarchical data structure is traversed to manage a set of the resources.

Method and system for managing resource allocation in non-uniform resource access computer systems

In a computer system, a descriptive memory allocation system is described having a memory policy allocation module for setting memory allocation policies by an operating system in response to descriptive resource use requirements provided by an application requesting access to a specified address range in memory. The descriptive memory allocation system includes a descriptive resource allocator that uses descriptive memory use advice provided by an application to decide how to allocate memory to the application. The descriptive resource allocator includes memory allocation policies that may be set by the operating system after the operating system has determined the appropriate allocation scheme to implement based on an allocation advice provided by a requesting after the application. The application in providing its descriptive memory use information does not specify a specific allocation policy the operating system should use to allocate memory to it.

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San Francisco, CA, United States of America

Jonathan Chew