Microsoft Technology Licensing, LLC

Glenn R Peterson

Galen Clyde Hunt

Robert Victor Welland

Bassam Tabbara

Aamer Hydrie

Geoffrey Hugh Outhred

Kevin Grealish

David Searle Noble

Charlie D Chase

Alexander Torone

Mathilde C Brown

Pavel Anatolievich Dournov

John Morgan Oslake

Efstathios Papaefstathiou

Michael T Massa

Rod N Gamache

Norbert Paul Kusters

Sunita Shrivastava

Gor Nishanov

Jonathan C Hardwick

David Edward Guimbellot

Data records containing one or more fields, which can be considered keys and/or values, are received, and processed such that data values of records that contain key values of interest are aggregated together. The keys of the resultant aggregations or 'resultant keys' are created under the control of simple parameters to an aggregation framework. Similarly, the particular aggregations performed are also under the control of a similar set of simple parameters to the aggregation framework. Mapping of keys to reduce originality is one of the important features of resultant key creation. Finally, the structure of the parameters used to control aggregation is simple, flexible, and powerful.

Techniques for specifying and collecting data aggregations

A design tool includes a service definition model to enable abstract description of distributed computing systems and distributed applications. The design tool also includes a schema to dictate how functional operations within the service definition model are to be specified. The functional operations include design of distributed applications, deployment of distributed applications, and management of distributed applications.

Architecture for distributed computing system and automated design, deployment, and management of distributed applications

Simulating device interactions. A method may be practiced in a computing system for simulating interconnected devices. The method of simulating device interactions may be done in performing an overall transaction to obtain an output of system performance characteristics including measurement of latencies and/or device loads for actions performed by devices in performing the overall transaction. The method includes dividing a transaction into individual actions. The actions are applied to appropriate device models to produce latencies and/or device utilizations for the action as applied to the appropriate device model. This may be done by including an indication of an action type and optionally an action subservice. Memory resources may be conserved by ending the simulation when latencies and/or device utilizations have settled. Device utilization and latency may be aggregated and averaged over time. When changes in the latencies and/or device utilizations are within a predetermined range, the simulation can be ended.

Simulation of connected devices

Preconditioning for stochastic simulation of computer system performance is described. In an embodiment, methods taught herein include preconditioning a performance scenario that is simulated as part of a software deployment. The performance scenario specifies devices included as part of a hardware configuration supporting the software. The performance scenario can be modified based, at least in part, on the result of the preconditioning. Other methods taught herein include two complementary techniques for preconditioning performance scenarios, referred to as pseudo-simulation and workload aggregation.

Preconditioning for stochastic simulation of computer system performance

In an implementation, a system includes a simulation engine that is executable to simulate actions performed by a plurality of devices in a distributed system. The system also includes a plurality of pluggable device models that are accessible by the simulation engine via an interface. Each of the device models represents one of the devices and is configured to map a cost of performing at least one of the actions to an action latency by the corresponding device.

Systems and methods for device simulation

A method and system wherein following a partitioning of a server cluster, operational subgroups arbitrate for possession of a quorum resource that determines cluster representation, wherein the arbitration is biased by a relative weight of the subgroup. The weight may be relative to the original cluster weight, or submitted as a bid that is relative to other possible subgroup weights. The biasing gives subgroups that are better capable of representing the cluster an arbitration advantage over lesser subgroups. The biasing weight of each subgroup may be determined by node count and/or by a calculation of the subgroup's resources. The arbitration may be delayed based on the relative weight, or alternatively, the arbitration may comprise a bidding process in which a subgroup's bid is based on the subgroup's relative weight.

System for determining at subgroup of nodes relative weight to represent cluster by obtaining exclusive possession of quorum resource

A method and system for providing remote access and control of devices such as disks, tape drives and modems across a network. A client driver intercepts I/O requests that are destined for a device which an application essentially considers a local device, such as for purposes of disk mirroring. The client driver queues and dequeues the I/O request, marshals it with header information and data, and sends it as a message to the server over one of possibly multiple connections to the server. A server driver unmarshalls the message, places it in a preallocated buffer as designated by the client, and generates an I/O request therefrom directed to the server device. The server responds with a completion status. The client side manages the server buffers, and the client classifies and partitions large requests into one or more segments that fit the server buffers. Sequential processing also may be ensured. The client also handles cancel operations on the remote device, and the client may also load balance across the multiple paths, by selecting a connection based on criteria including pending message size and dynamic performance measurements of the connections.

Method and system for remote access to computer devices via client managed server buffers exclusively allocated to the client

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Kenmore, WA, United States of America

Glenn R Peterson