Microsoft Technology Licensing, LLC

Baskar Sridharan

Abdelsalam Heddaya

Andrew J Lagattuta

Raghunath Ramakrishnan

Matthew Jeremiah Eason

John R Douceur

Edmund Bernard Nightingale

Landy Wang

Sriram Kottarakurichi Rajamani

Mitica Manu

Victor V Boyko

Garrett Leischner

Ramarathnam R Venkatesan

Stephan Doll

Sri Sai Kameswara Pavan Kumar Kasturi

Paul Luo Li

Pushkar Vijay Chitnis

Elsie Nallipogu

Shastry M C Shankara

Peng T Li

Jason Stewart Wohlgemuth

Sriram S Rao

Jonathan David Morrison

Karthick Krishnamoorthy

Christopher William Douglas

Mario R Garzia

Anthony J Lorelli

Mujtaba S Khambatti

Virajith Jalaparti

Björn Levidow

Spiro Michaylov

Krishna Pradeep Reddy Tamma

Aditya Telidevara

Matt Eason

Tristan P K Schmelcher

Chakrapani Bhat Talapady

Joseph M Gagne

A system that maps files into multiple parts and initiates storage of each part within a respective storage provider. The mapping facilitates this by correlating each of the multiple parts to a corresponding storage provider which may be different than the storage provider that stores a different part of the same file. The system then initiates storage of the multiple parts of the file in each of their corresponding storage provider in accordance with the mapping, and using a storage-provider-facing API. Similarly, retrieval and/or editing of a partial file may be accomplished by referencing the mapping, and using the same API issued to the appropriate storage provider. Each storage provider is capable of interfacing with the system using this same API.

Mapping storage across storage providers

Operating upon encrypted data with a particular data scope. A base encryption key is established and associated with the particular data scope, and then stored in a base encryption key store. That base encryption key store might be managed by an application or service that stores base encryption keys for multiple data scopes. A proxy encryption key acts as a kind of proxy for the base encryption key. The proxy encryption key may be used for frequent operations on encrypted data within the particular data scope. Thus, the principles described herein act as a frequency amplifier that allows key-based operations upon the particular data scope to be performed at much higher frequencies than otherwise would be possible by operating directly using the base encryption key.

Data operations using a proxy encryption key

Data may be encrypted using a derived block encryption key for each of at least one append blocks of data. A data operation associated with manipulating particular data associated with a user may be received. The particular data may comprise at least one append block of data. In response to the received data operation, for each append block of data of the at least one append block of data, parameters associated with deriving a block encryption key for a given append block of data of the at least one append block of data may be accessed. The parameters may comprise at least a data encryption key associated with the user and a nonce. A block encryption key may be derived for the given append block of data utilizing the parameters. The given append block of data may be encrypted utilizing the block encryption key.

Encryption using multi-level encryption key derivation

Sharding a data unit across storage locations (e.g., data centers, clusters, accounts, and so forth). For each location, the multi-link traffic constraints in data channeling with the storage location are identified. For instance, for a given data channel leading to and/or from a storage location, there may be multiple links. Each link may have its own constraints (e.g., in throughput and/or storage). Policy may consider the sharding of files in a manner that honors the constraints. The policy may also be set so that all portions of the shards may be timely accessed in parallel. When sharding, the policy is applied in order to identify initial placement of the computing data unit across the multiple storage locations. Furthermore, the policy may be consulted to determine which storage location to access the shard from and/or which channel to use to access the shard from a given location.

Sharding over multi-link data channels

A system and method for mitigating memory errors in a computer system. Faulty memory is identified and tested by a memory manager of an operating system. The memory manager may perform diagnostic tests while the operating system is executing on the computer system. Regions of memory that are being used by software components of the computer system may also be tested. The memory manager maintains a stored information about faulty memory regions. Regions are added to the stored information when they are determined to be faulty by a diagnostic test tool. Memory regions are allocated to software components by the memory manager after checking the stored information about faulty memory regions. This ensures a faulty memory region is never allocated to a software component of the computer system.

Systematic mitigation of memory errors

A method of detecting a network hang and restoring an application that communicates on a connection giving rise to the network hang. A user experience may be improved by providing the user with an option to restore the hung application without losing unsaved data or state information. The network hang may be detected when the user tries to terminate the application. The method may include determining whether the network hang is recoverable, which may involve diagnosing a type of the hang. If recoverable, a network connection reset mechanism may be triggered by instructing a network stack of the computer to terminate the network connection.

Network hang recovery

Resource exhaustion is anticipated, a cause of the resource exhaustion is identified and options are identified to address the resource exhaustion.

Resource exhaustion prediction, detection, diagnosis and correction

Process reflection techniques are described in which a reflected process is created to facilitate analysis of a process. Events are detected to initiate reflection of a target process. Process reflection of a target process may be initiated by an external process or by the target process itself. A reflected process of the target process is created. In an implementation, data defining the target process is replicated, copied, or otherwise collected from the target process to create the reflected process. Then, analysis may be performed on the reflected process while execution of the target process continues.

Process reflection

The resource leak detector attempts to identify the causes of resource leaks and fix the causes if possible. At a minimum, the located resource leaks are reported to an operating system manufacture for additional study and possible correction, either by the operating system manufacturer or the application manufacturer that is causing the resource leak. In an embodiment, in operation, a leak trigger for starting leak detection is started. If the leak trigger is activated, leak detection is started when an application begins. Resource allocations are tracked for the leaked resource and each leaked resource is matched to a corresponding allocation call stack. A type of the leaked resource may be identified. The leak detection and the leak trigger may be controlled according to at least one of a local policy and a global policy. The local and the global policy may be updated dynamically such as by using aggregated occurrences of applications that met the local policy or by matching a plurality of distinct types of leaked resources to the same call stack. A leak report may be generated of resource leak data where the leak report is stored locally or communicated to a local aggregation database or remote aggregation database. The leak report may include total leaked allocations, total size of leaked allocations, total outstanding allocations, total size of outstanding allocations and matched allocation call stacks. The leaked resource may be automatically reclaimed and a fix to the leaked resource may be created and applied automatically.

Automatically resource leak diagnosis and detecting process within the operating system

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Sammamish, WA, United States of America

Baskar Sridharan