Patents by Inventor Sathya Kavacheri
Sathya Kavacheri 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).
-
Patent number: 11838351Abstract: A deployment manager executing in a distributed computing environment generates a user behavior analytics (UBA) deployment to process structured event data. The deployment manager configures a streaming cluster to perform streaming processing on real-time data and configures a batch cluster to perform batch processing on aggregated data. A configuration manager executing in the distributed computing environment interoperates with the deployment manager to update the UBA deployment with user-provided code and configurations that define streaming and batch models, among other things. In this manner, the deployment manager provides a scalable UBA deployment that can be customized, via the configuration manager, by a user.Type: GrantFiled: November 21, 2022Date of Patent: December 5, 2023Assignee: SPLUNK INC.Inventors: Marios Iliofotou, Ravi Bulusu, Ashwin Athalye, Sathya Kavacheri, Shekar Kesarimanglam
-
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
-
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
-
Patent number: 11509706Abstract: A deployment manager executing in a distributed computing environment generates a user behavior analytics (UBA) deployment to process structured event data. The deployment manager configures a streaming cluster to perform streaming processing on real-time data and configures a batch cluster to perform batch processing on aggregated data. A configuration manager executing in the distributed computing environment interoperates with the deployment manager to update the UBA deployment with user-provided code and configurations that define streaming and batch models, among other things. In this manner, the deployment manager provides a scalable UBA deployment that can be customized, via the configuration manager, by a user.Type: GrantFiled: January 4, 2021Date of Patent: November 22, 2022Assignee: SPLUNK INC.Inventors: Marios Iliofotou, Ravi Bulusu, Ashwin Athalye, Sathya Kavacheri, Shekar Kesarimanglam
-
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
-
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
-
Patent number: 11086974Abstract: A deployment manager executing in a distributed computing environment generates a user behavior analytics (UBA) deployment to process structured event data. The deployment manager configures a streaming cluster to perform streaming processing on real-time data and configures a batch cluster to perform batch processing on aggregated data. A configuration manager executing in the distributed computing environment interoperates with the deployment manager to update the UBA deployment with user-provided code and configurations that define streaming and batch models, among other things. In this manner, the deployment manager provides a scalable UBA deployment that can be customized, via the configuration manager, by a user.Type: GrantFiled: September 25, 2017Date of Patent: August 10, 2021Assignee: SPLUNK INC.Inventors: Marios Iliofotou, Ravi Bulusu, Ashwin Athalye, Sathya Kavacheri, Shekar Kesarimanglam
-
Patent number: 10887369Abstract: A deployment manager executing in a distributed computing environment generates a user behavior analytics (UBA) deployment to process structured event data. The deployment manager configures a streaming cluster to perform streaming processing on real-time data and configures a batch cluster to perform batch processing on aggregated data. A configuration manager executing in the distributed computing environment interoperates with the deployment manager to update the UBA deployment with user-provided code and configurations that define streaming and batch models, among other things. In this manner, the deployment manager provides a scalable UBA deployment that can be customized, via the configuration manager, by a user.Type: GrantFiled: September 25, 2017Date of Patent: January 5, 2021Assignee: SPLUNK INC.Inventors: Marios Iliofotou, Ravi Bulusu, Ashwin Athalye, Sathya Kavacheri, Shekar Kesarimanglam
-
Publication number: 20190095599Abstract: A deployment manager executing in a distributed computing environment generates a user behavior analytics (UBA) deployment to process structured event data. The deployment manager configures a streaming cluster to perform streaming processing on real-time data and configures a batch cluster to perform batch processing on aggregated data. A configuration manager executing in the distributed computing environment interoperates with the deployment manager to update the UBA deployment with user-provided code and configurations that define streaming and batch models, among other things. In this manner, the deployment manager provides a scalable UBA deployment that can be customized, via the configuration manager, by a user.Type: ApplicationFiled: September 25, 2017Publication date: March 28, 2019Inventors: Marios ILIOFOTOU, Ravi BULUSU, Ashwin ATHALYE, Sathya KAVACHERI, Shekar KESARIMANGLAM
-
Publication number: 20190098068Abstract: A deployment manager executing in a distributed computing environment generates a user behavior analytics (UBA) deployment to process structured event data. The deployment manager configures a streaming cluster to perform streaming processing on real-time data and configures a batch cluster to perform batch processing on aggregated data. A configuration manager executing in the distributed computing environment interoperates with the deployment manager to update the UBA deployment with user-provided code and configurations that define streaming and batch models, among other things. In this manner, the deployment manager provides a scalable UBA deployment that can be customized, via the configuration manager, by a user.Type: ApplicationFiled: September 25, 2017Publication date: March 28, 2019Inventors: Marios ILIOFOTOU, Ravi BULUSU, Ashwin ATHALYE, Sathya KAVACHERI, Shekar KESARIMANGLAM
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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