Tintri Inc.

Emc Corporation

Tintri by Ddn, Inc.

Emc IP Holding Company LLC

Intuit, Inc.

Other

Xilinx, Inc.

Boon Storage Technologies, Inc.

Middlefield Ventures, Inc.

Synapse Fund Ii, LLC

Hitachi Global Storage Technologies Netherlands B.v.

Digital Equipment Corporation

Hgst Netherlands, B.v.

Super Talent Electronics, Inc.

Data Domain, Inc.

Edward Kihyen Lee

Mark G Gritter

Ming Benjamin Zhu

Umesh Maheshwari

Pratap Vikram Singh

Kai Yi Li

R Hugo Patterson

Sazzala Reddy

Shobhit Dayal

Philip N Shilane

Grant R Wallace

Mark L Huang

Raj Ashok Sudarsanam

Amit Shriram Kalamkar

Brandon W Salmon

Sumedh V Sakdeo

R Hugo Patterson, Iii

Nitin Garg

Vigith Maurice

Boon-Lock Yeo

Vyacheslav Vladimirovich Malyugin

Alan C Wong

Christopher J Borrelli

Rose F Liu

Rex R Walters

Kieran J Harty

Quang Le

David John Seagle

Neil Leslie Robertson

Yohan Usthavia Frans

Chandramohan Amyangot Thekkath

Ren-Kang Chiou

Horng-Yee Chou

Michael R Feldbaum

David Patrick Druist

Darrick Taylor Smith

Glenn Paul Gee

Allan J Bricker

Caleb S Leung

Gideon W Glass

Lei Tian

Hong Sik Ahn

Timothy P Mann

Charles G Seegel, Iii

A system including a data repository storing metrics describing operational behavior of software programs executing in an enterprise system. The system also includes an application programming interface (API) gateway configured to receive the metrics. The system also includes an ingestion layer configured to ingest the metrics to form the ingested metrics. The system also includes a tumbling window processor configured to process the ingested metrics and the events into heat maps, sort the heat maps into the time slices, and populate the time slices with the ingested metrics.

Enriched high fidelity metrics

A method may include receiving an event from an event source. The event may correspond to event data. The event source may be a container executing an image. The image may correspond to image metadata including attributes describing the image. The method may further include combining the event data with the image metadata to obtain enriched data, detecting, using the enriched data, a deviation from a policy, and in response to detecting the deviation from the policy, performing an action to enforce the policy.

Integrated event processing and policy enforcement

A method includes receiving first metrics describing first behaviors of applications having a fault, and second metrics describing second behaviors of an enterprise system in which the applications are executing. The first and second metrics are ingested. Ingesting includes assigning a first cardinality score to first metrics related to the fault. Ingesting also includes assigning a second, lower cardinality score to second metrics that are unrelated to the fault. Tumbling window processing is performed on the ingested metrics by sorting the first metrics and the second metrics into time slices. Each of the time slices includes a corresponding data structure for storing the data in the different time periods. Tumbling window processing is also performed on the ingested metrics by storing more data in the time slices for the first metrics having the first cardinality score relative to the second metrics having the second cardinality score.

A method including receiving events from different data sources for a service automatically executing in an enterprise system. A first event is enriched by providing the first event with first metadata that associates the first event with a first application used by the service. The first event is assigned to a time slice associated with the first application. A second event is enriched in a similar manner. A correlation graph of nodes and edges is built using the enriched events, with nodes representing the events and edges indicating relationships between the edges. A third event indicating a fault in the first application associated with the first node is received. The source of the error for the third event is identified using the second updated correlation graph and the time slice. The source of error is then mitigated.

Performing data synchronization is disclosed, including: receiving an indication to synchronize a container to a snapshot, wherein the container has a first data state and an identity, wherein the snapshot corresponds to a second data state; causing the container to have the second data state corresponding to the snapshot; and maintaining the identity of the container.

Efficient data synchronization for storage containers

Techniques to satisfy quality of service (QoS) requirements on a per virtual machine basis natively in a storage system are disclosed. In various embodiments, for each of a plurality of virtual machines a corresponding input/output (I/O) request queue is stored on the storage system. Requests are scheduled to be pulled from the respective request queues and added to a corresponding storage operation pipeline at the storage system in an order determined based at least in part on a per virtual machine quality of service parameter.

Native storage quality of service for virtual machines

Apparatus and associated methods relating to reducing lock time include pre-calibrating and storing phase-locked loop (PLL) and/or injection-locked oscillator (ILO) adaptation values during startup and loading the pre-calibrated values during rate change. In an illustrative example, an integrated circuit may include a controllable frequency circuit operable at frequencies within each of a plurality of frequency bands. A data store may store operational settings associated with each frequency of the plurality of frequency bands. A state machine may be coupled to the controllable frequency circuit and the data store configured to select a predetermined frequency band in response to a command signal, retrieve, from the data store, operational settings associated with the predetermined frequency band, and, apply the retrieved operational settings to the controllable frequency circuit. With the pre-calibration, PLL and/or ILO lock times during rate change in a multi-rate serializer/deserializer (SERDES) link may be advantageously reduced.

Apparatus and method to reduce lock time via frequency band calibration

Storing data is disclosed, including: creating a clone of a snapshot comprising a first set of metadata associated with a source data, at least in part by generating for the clone a second set of metadata that includes an active index that is associated with the snapshot and is configured to store metadata associated with data values that are written to the clone; receiving a write operation to write a requested data value to the clone; and in response to the write operation, updating the active index based at least in part on the requested data value.

Efficient and flexible organization and management of file metadata

Techniques to automatically allocate resources among storage system resource consumers are disclosed. In various embodiments, for each of a plurality of heterogeneous categories of resource consumer of the storage system a corresponding allocated portion of storage system resources to be available for use to perform operations associated with that category of resource consumer is determined. A storage system is configured automatically to provide access to resources of the storage system based at least in part on the respective portions of storage system resources allocated to each category of resource consumer, including by ensuring availability to workloads associated with each category at any given time at least a minimum amount of storage system resources corresponding to the portion of storage system resources allocated to that category.

Auto allocation of storage system resources to heterogeneous categories of resource consumer

A circuit includes an AGC adaptation circuit configured to receive a first signal generated based on an AGC output signal from an AGC circuit. The AGC circuit applies an AGC gain to an AGC input signal to generate the AGC output signal. The AGC adaptation circuit determines an observed value of the first signal, and determines a AGC adaptation step size based on the observed value and a predetermined target value associated with the first signal. The AGC adaptation circuit provides a second signal to adjust the AGC gain of the AGC circuit using the AGC adaptation step size.

System and method for automatic gain control adaptation

Performing replication of snapshots between storage systems is disclosed. A request to store at a destination system a snapshot data to represent at the destination system a state of a set of data at a first point-in-time is received. A first source system snapshot data that represents at a source system the state of the set of data at the first point-in-time depends on a second source system snapshot data that represents at the source system a state of the set of data at a second point-in-time. The snapshot data to represent at the destination system the state of the set of data at the first point-in-time is determined based on data comprising the first source system snapshot data and a destination system snapshot data that represents at the destination system a state of the set of data at a third point-in-time.

Replication of snapshots and clones

Detecting and pinpointing data corruption is disclosed, including: storing an object-level metadata structure corresponding to a stored object, wherein the stored object comprises a plurality of blocks; and determining for a block included in the plurality of blocks, based at least in part on a piece of identifying information of the block, two or more locations in the object-level metadata structure at which to store a value computed based at least in part on data comprising the block.

Detecting and pinpointing data corruption

Cluster storage comprises an interface and a processor. The interface is to send a tag to a selected node and receive tags from the selected node. The tags received from the selected node comprise tags for likely similar segments stored on the selected node. The processor is to break a segment into subsegments, calculate subsegment tags for each subsegment, identify one or more references to one or more previously stored subsegments and/or one or more segment data using the tags from the selected node and the subsegment tags, and send the one or more references to the one or more previously stored subsegments and/or segment data and associated tags to the selected node.

Cluster storage using subsegmenting for efficient storage

Growing community of inventors

Dublin, CA, United States of America

Edward Kihyen Lee