Patents by Inventor Lohit Vijaya Renu
Lohit Vijaya Renu has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20230273904Abstract: A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information. Also addressed is the use of distributed transactions in a map-reduce system; the use of local and distributed snapshots; replication, including techniques for reconciling the divergence of replicated data after a crash; and mirroring.Type: ApplicationFiled: April 18, 2023Publication date: August 31, 2023Inventors: Mandayam C. SRIVAS, Pindikura RAVINDRA, Uppaluri Vijaya SARADHI, Arvind Arun PANDE, Chandra Guru Kiran Babu SANAPALA, Lohit Vijaya RENU, Vivekanand VELLANKI, Sathya KAVACHERI, Amit Ashoke HADKE
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Patent number: 11657024Abstract: A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information. Also addressed is the use of distributed transactions in a map-reduce system; the use of local and distributed snapshots; replication, including techniques for reconciling the divergence of replicated data after a crash; and mirroring.Type: GrantFiled: August 23, 2021Date of Patent: May 23, 2023Assignee: Hewlett Packard Enterprise Development LPInventors: Mandayam C. Srivas, Pindikura Ravindra, Uppaluri Vijaya Saradhi, Arvind Arun Pande, Chandra Guru Kiran Babu Sanapala, Lohit Vijaya Renu, Vivekanand Vellanki, Sathya Kavacheri, Amit Ashoke Hadke
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Publication number: 20230077293Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating tracer events. One of the methods includes generating, by a first system in an event processing pipeline, tracer event data for a data event; receiving, by a downstream system in the event processing pipeline, data for the data event and the tracer event data for the data event; updating, by the downstream system, the tracer event data for the data event using metric data generated while the downstream system processed the data event; after updating the tracer event data, receiving the data event that has been processed at each of multiple different layers in the event processing pipeline, and the updated tracer event data for the data event; and causing a change to the event processing pipeline using a result of an analysis of the updated tracer event data.Type: ApplicationFiled: July 29, 2022Publication date: March 9, 2023Inventors: Lohit Vijaya Renu, Zhenzhao Wang
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Publication number: 20230075596Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for improved delivery likelihood of batch events. One of the methods includes receiving, from an upstream system in an event processing pipeline, a request to store a first batch of events in persistent memory, the request including the first batch of events and a first identifier for the first batch of events; providing, to a downstream system in the event processing pipeline, a data storage request that includes the first batch of events and the first identifier; receiving, from the downstream system, the first confirmation that includes the first identifier and indicates that the first batch of events was successfully committed; and in response to receiving the first confirmation: sending, to the upstream system, a second confirmation message that includes the first identifier and indicates that the first batch of events was successfully committed.Type: ApplicationFiled: July 29, 2022Publication date: March 9, 2023Inventors: Lohit Vijaya Renu, Zhenzhao Wang
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Publication number: 20210382857Abstract: A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information. Also addressed is the use of distributed transactions in a map-reduce system; the use of local and distributed snapshots; replication, including techniques for reconciling the divergence of replicated data after a crash; and mirroring.Type: ApplicationFiled: August 23, 2021Publication date: December 9, 2021Inventors: Mandayam C. SRIVAS, Pindikura RAVINDRA, Uppaluri Vijaya SARADHI, Arvind Arun PANDE, Chandra Guru Kiran Babu SANAPALA, Lohit Vijaya RENU, Vivekanand VELLANKI, Sathya KAVACHERI, Amit Ashoke HADKE
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Patent number: 11100055Abstract: A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information. Also addressed is the use of distributed transactions in a map-reduce system; the use of local and distributed snapshots; replication, including techniques for reconciling the divergence of replicated data after a crash; and mirroring.Type: GrantFiled: August 29, 2018Date of Patent: August 24, 2021Assignee: Hewlett Packard Enterprise Development LPInventors: Mandayam C. Srivas, Pindikura Ravindra, Uppaluri Vijaya Saradhi, Arvind Arun Pande, Chandra Guru Kiran Babu Sanapala, Lohit Vijaya Renu, Vivekanand Vellanki, Sathya Kavacheri, Amit Ashoke Hadke
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Publication number: 20180373731Abstract: A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information. Also addressed is the use of distributed transactions in a map-reduce system; the use of local and distributed snapshots; replication, including techniques for reconciling the divergence of replicated data after a crash; and mirroring.Type: ApplicationFiled: August 29, 2018Publication date: December 27, 2018Inventors: Mandayam C. SRIVAS, Pindikura RAVINDRA, Uppaluri Vijaya SARADHI, Arvind Arun PANDE, Chandra Guru Kiran Babu SANAPALA, Lohit Vijaya RENU, Vivekanand VELLANKI, Sathya KAVACHERI, Amit Ashoke HADKE
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Patent number: 10146793Abstract: A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information. Also addressed is the use of distributed transactions in a map-reduce system; the use of local and distributed snapshots; replication, including techniques for reconciling the divergence of replicated data after a crash; and mirroring.Type: GrantFiled: August 3, 2017Date of Patent: December 4, 2018Assignee: MapR Technologies, Inc.Inventors: Mandayam C. Srivas, Pindikura Ravindra, Uppaluri Vijaya Saradhi, Arvind Arun Pande, Chandra Guru Kiran Babu Sanapala, Lohit Vijaya Renu, Vivekanand Vellanki, Sathya Kavacheri, Amit Ashoke Hadke
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Publication number: 20170329798Abstract: A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information. Also addressed is the use of distributed transactions in a map-reduce system; the use of local and distributed snapshots; replication, including techniques for reconciling the divergence of replicated data after a crash; and mirroring.Type: ApplicationFiled: August 3, 2017Publication date: November 16, 2017Inventors: Mandayam C. SRIVAS, Pindikura RAVINDRA, Uppaluri Vijaya SARADHI, Arvind Arun PANDE, Chandra Guru Kiran Babu SANAPALA, Lohit Vijaya RENU, Vivekanand VELLANKI, Sathya KAVACHERI, Amit Ashoke HADKE
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Patent number: 9798735Abstract: A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information. Also addressed is the use of distributed transactions in a map-reduce system; the use of local and distributed snapshots; replication, including techniques for reconciling the divergence of replicated data after a crash; and mirroring.Type: GrantFiled: December 16, 2016Date of Patent: October 24, 2017Assignee: MapR Technologies, Inc.Inventors: Mandayam C. Srivas, Pindikura Ravindra, Uppaluri Vijaya Saradhi, Arvind Arun Pande, Chandra Guru Kiran Babu Sanapala, Lohit Vijaya Renu, Vivekanand Vellanki, Sathya Kavacheri, Amit Ashoke Hadke
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Patent number: 9773016Abstract: A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information. Also addressed is the use of distributed transactions in a map-reduce system; the use of local and distributed snapshots; replication, including techniques for reconciling the divergence of replicated data after a crash; and mirroring.Type: GrantFiled: November 24, 2015Date of Patent: September 26, 2017Assignee: MapR Technologies, Inc.Inventors: Mandayam C. Srivas, Pindikura Ravindra, Uppaluri Vijaya Saradhi, Arvind Arun Pande, Chandra Guru Kiran Babu Sanapala, Lohit Vijaya Renu, Vivekanand Vellanki, Sathya Kavacheri, Amit Ashoke Hadke
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Patent number: 9646024Abstract: A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. A primitive storage layer (storage pools) knits together raw block stores and provides a storage mechanism for containers and transaction logs. Storage pools are manipulated by individual file servers. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information.Type: GrantFiled: April 21, 2016Date of Patent: May 9, 2017Assignee: MAPR TECHNOLOGIES, INC.Inventors: Mandayam C. Srivas, Pindikura Ravindra, Uppaluri Vijaya Saradhi, Arvind Arun Pande, Chandra Guru Kiran Babu Sanapala, Lohit Vijaya Renu, Vivekanand Vellanki, Sathya Kavacheri, Amit Hadke
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Publication number: 20170116221Abstract: A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information. Also addressed is the use of distributed transactions in a map-reduce system; the use of local and distributed snapshots; replication, including techniques for reconciling the divergence of replicated data after a crash; and mirroring.Type: ApplicationFiled: December 16, 2016Publication date: April 27, 2017Inventors: Mandayam C. SRIVAS, Pindikura RAVINDRA, Uppaluri Vijaya SARADHI, Arvind Arun PANDE, Chandra Guru Kiran Babu SANAPALA, Lohit Vijaya RENU, Vivekanand VELLANKI, Sathya KAVACHERI, Amit Ashoke HADKE
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Publication number: 20160239514Abstract: A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. A primitive storage layer (storage pools) knits together raw block stores and provides a storage mechanism for containers and transaction logs. Storage pools are manipulated by individual file servers. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information.Type: ApplicationFiled: April 21, 2016Publication date: August 18, 2016Inventors: Mandayam C. SRIVAS, Pindikura RAVINDRA, Uppaluri Vijaya SARADHI, Arvind Arun PANDE, Chandra Guru Kiran Babu SANAPALA, Lohit Vijaya RENU, Vivekanand VELLANKI, Sathya KAVACHERI, Amit HADKE
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Patent number: 9323775Abstract: A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. A primitive storage layer (storage pools) knits together raw block stores and provides a storage mechanism for containers and transaction logs. Storage pools are manipulated by individual file servers. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information.Type: GrantFiled: June 16, 2011Date of Patent: April 26, 2016Assignee: MapR Technologies, Inc.Inventors: Mandayam C. Srivas, Pindikura Ravindra, Uppaluri Vijaya Saradhi, Arvind Arun Pande, Chandra Guru Kiran Babu Sanapala, Lohit Vijaya Renu, Vivekanand Vellanki, Sathya Kavacheri, Amit Ashoke Hadke
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Publication number: 20160078052Abstract: A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information. Also addressed is the use of distributed transactions in a map-reduce system; the use of local and distributed snapshots; replication, including techniques for reconciling the divergence of replicated data after a crash; and mirroring.Type: ApplicationFiled: November 24, 2015Publication date: March 17, 2016Inventors: Mandayam C. SRIVAS, Pindikura RAVINDRA, Uppaluri Vijaya SARADHI, Arvind Arun PANDE, Chandra Guru Kiran Babu SANAPALA, Lohit Vijaya RENU, Vivekanand VELLANKI, Sathya KAVACHERI, Amit Ashoke HADKE
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Patent number: 9207930Abstract: A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information. Also addressed is the use of distributed transactions in a map-reduce system; the use of local and distributed snapshots; replication, including techniques for reconciling the divergence of replicated data after a crash; and mirroring.Type: GrantFiled: December 29, 2011Date of Patent: December 8, 2015Assignee: MapR Technologies, Inc.Inventors: Mandayam C. Srivas, Pindikura Ravindra, Uppaluri Vijaya Saradhi, Arvind Arun Pande, Chandra Guru Kiran Babu Sanapala, Lohit Vijaya Renu, Vivekanand Vellanki, Sathya Kavacheri, Amit Hadke
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Publication number: 20120101991Abstract: A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information. Also addressed is the use of distributed transactions in a map-reduce system; the use of local and distributed snapshots; replication, including techniques for reconciling the divergence of replicated data after a crash; and mirroring.Type: ApplicationFiled: December 29, 2011Publication date: April 26, 2012Inventors: Mandayam C. SRIVAS, Pindikura Ravindra, Uppaluri Vijaya Saradhi, Arvind Arun Pande, Chandra Guru Kiran Babu Sanapala, Lohit Vijaya Renu, Vivekanand Vellanki, Sathya Kavacheri, Amit Hadke
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Publication number: 20110313973Abstract: A map-reduce compatible distributed file system that consists of successive component layers that each provide the basis on which the next layer is built provides transactional read-write-update semantics with file chunk replication and huge file-create rates. A primitive storage layer (storage pools) knits together raw block stores and provides a storage mechanism for containers and transaction logs. Storage pools are manipulated by individual file servers. Containers provide the fundamental basis for data replication, relocation, and transactional updates. A container location database allows containers to be found among all file servers, as well as defining precedence among replicas of containers to organize transactional updates of container contents. Volumes facilitate control of data placement, creation of snapshots and mirrors, and retention of a variety of control and policy information.Type: ApplicationFiled: June 16, 2011Publication date: December 22, 2011Inventors: Mandayam C. SRIVAS, Pindikura Ravindra, Uppaluri Vijaya Saradhi, Arvind Arun Pande, Chandra Guru Kiran Babu Sanapala, Lohit Vijaya Renu, Sathya Kavacheri, Amit Ashoke Hadke, Vivekanand Vellanki