Patents by Inventor Jes Kiran Chittigala

Jes Kiran Chittigala 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: 11204820
    Abstract: Examples of techniques for failure detection for central electronics complex (CEC) group management are described herein. An aspect includes issuing a first virtual input/output server (VIOS) probe to a hardware management console (HMC) of a central electronics complex (CEC) group. Another aspect includes receiving a first response packet that includes health data corresponding to a plurality of VIOSes. Another aspect includes determining, based on the first response packet, that cluster down is indicated on a first VIOS. Another aspect includes, based on determining that cluster down is indicated on the first VIOS, getting a VIOS state for the first VIOS from the HMC. Another aspect includes determining based on the VIOS state that the first VIOS is in a down state and determining that the first VIOS is unhealthy. Another aspect includes updating a health data entry corresponding to the first VIOS to indicate that the first VIOS is unhealthy.
    Type: Grant
    Filed: April 27, 2020
    Date of Patent: December 21, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Perinkulam I. Ganesh, Ravi Shankar, Esdras Cruz-Aguilar, Jes Kiran Chittigala, Michael Burton, Corradino Jones, Denise Marie Genty, James Pafumi
  • Publication number: 20210365411
    Abstract: A write operation storing data in a first storage device is duplicated to a first replication file. A set of differences between a first version of the first replication file determined at a first time and a second version of the first replication file determined at a second time is determined, the set of differences comprising a set of results of duplicated write operations occurring between the first time and the second time. At a second file system, storage of the set of differences in a second storage device is caused, creating a duplicate in the second storage device of the data stored in the first storage device.
    Type: Application
    Filed: May 21, 2020
    Publication date: November 25, 2021
    Applicant: International Business Machines Corporation
    Inventors: Ninad S. Palsule, Ravi A. Shankar, James A. Pafumi, PERINKULAM I. GANESH, Frank Law Nichols, III, JES KIRAN CHITTIGALA, Lakshmi Yadlapati, Rui Yang, Robert Kenneth Gjertsen, JR., Corradino D. Jones, Denise Marie Genty, Janet Adkins
  • Patent number: 11023308
    Abstract: In a system having at least two data storage and processing sites, each capable of alternatively serving as a primary site and a backup or target site, disaster recovery migration is optimized by cognitively analyzing at least one system parameter. Using machine learning, at least one pattern of that system related parameter is predicted, and planned or unplanned migration procedures are performed based on the predicted parameter patterns. The analyzed parameter may be data traffic at the sites, and the predicted data traffic pattern is used to assign primary and backup site status to those sites. The analyzed parameter may be the occurrence of events or transactions at the sites, and the predicted event or transaction patterns may be used to determine times of disaster recovery procedure processing so as to not interrupt a critical event or transaction.
    Type: Grant
    Filed: June 18, 2019
    Date of Patent: June 1, 2021
    Assignee: International Business Machines Corporation
    Inventors: Jes Kiran Chittigala, Santhosh Joshi, Srirama R. Kucherlapati
  • Patent number: 10963355
    Abstract: A system and method for automatic and dynamic virtual machine (VM) group membership adjustment to identify and maintain VM groupings for maintaining a data consistency and availability at a computer recovery site in response to a disaster event. Based on a hybrid approach of network and storage analytics using cognitive methods, the system automatically groups the VMs based on patterns of data exchanged between the VMs. The system can store the patterns found during the analysis, find the critical elements in those patterns (like VMs playing the key role of DB server), match the patterns and use them in case a detected failure to make the system functional again at the recovery site. The system stores the communications traffic patterns learned during the network analysis and uses analytics to form or change the VM grouping, and can perform the pattern matching to quickly readjust the group.
    Type: Grant
    Filed: November 28, 2018
    Date of Patent: March 30, 2021
    Assignee: International Business Machines Corporation
    Inventors: Taru Varshney, Jes Kiran Chittigala, Srikanth Thanneeru, Ravi A. Shankar
  • Patent number: 10958557
    Abstract: A processor, based on detection of a configuration change to a central electronics complex (CEC) in a CEC group, automatically creates a monitoring network within the CEC. Automatically creating the monitoring network includes the processor issuing a request via a hardware management console (HMC) to the CEC to create a virtual switch implementing a virtual local area network (VLAN). The processor also issues a request via the HMC to the CEC to create, on a virtual input-output server (VIOS) hosted in the CEC, a virtual trunk adapter connected to the VLAN. In addition, the processor issues a request via the HMC to the CEC to create, on each of a plurality of logical partitions (LPARs) hosted in the CEC, a virtual network adapter connected to the VLAN. The processor can employ the network, for example, to monitor health of the LPARs and VIOS within the CEC via the HMC.
    Type: Grant
    Filed: July 31, 2019
    Date of Patent: March 23, 2021
    Assignee: International Business Machines Corporation
    Inventors: Michael Burton, Jes Kiran Chittigala, Venkateshwar R. Yerravalli, Ravi A. Shankar, Perinkulam I. Ganesh, Esdras E. Cruz-Aguilar
  • Patent number: 10936427
    Abstract: Aspects include prefetching a plurality of high-level information, high-level metadata, low-level metadata, and low-level information including a plurality of components associated with a monitored entity for disaster recovery. A subsequent instance of the high-level information, the high-level metadata, and the low-level metadata is requested. The subsequent instance of the high-level information is fetched based on detecting a change in the high-level metadata. A subsequent instance of one or more of the components of the low-level information corresponding to one or more changes in the low-level metadata is fetched for updating a plurality of disaster recovery data of the monitored entity in a persistent database.
    Type: Grant
    Filed: October 9, 2018
    Date of Patent: March 2, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Juliet Candee, Jes Kiran Chittigala, Ravi A. Shankar, Bradley J. Smith, Taru Varshney
  • Publication number: 20210036945
    Abstract: A processor, based on detection of a configuration change to a central electronics complex (CEC) in a CEC group, automatically creates a monitoring network within the CEC. Automatically creating the monitoring network includes the processor issuing a request via a hardware management console (HMC) to the CEC to create a virtual switch implementing a virtual local area network (VLAN). The processor also issues a request via the HMC to the CEC to create, on a virtual input-output server (VIOS) hosted in the CEC, a virtual trunk adapter connected to the VLAN. In addition, the processor issues a request via the HMC to the CEC to create, on each of a plurality of logical partitions (LPARs) hosted in the CEC, a virtual network adapter connected to the VLAN. The processor can employ the network, for example, to monitor health of the LPARs and VIOS within the CEC via the HMC.
    Type: Application
    Filed: July 31, 2019
    Publication date: February 4, 2021
    Inventors: MICHAEL BURTON, JES KIRAN CHITTIGALA, VENKATESHWAR R. YERRAVALLI, RAVI A. SHANKAR, PERINKULAM I. GANESH, ESDRAS E. CRUZ-AGUILAR
  • Patent number: 10884843
    Abstract: In a system having at least two data storage and processing sites, each capable of alternatively serving as a primary site and a backup or target site, disaster recovery migration is optimized by cognitively analyzing at least one system parameter. Using machine learning, at least one pattern of that system related parameter is predicted, and planned or unplanned migration procedures are performed based on the predicted parameter patterns. The analyzed parameter may be data traffic at the sites, and the predicted data traffic pattern is used to assign primary and backup site status to those sites. The analyzed parameter may be the occurrence of events or transactions at the sites, and the predicted event or transaction patterns may be used to determine times of disaster recovery procedure processing so as to not interrupt a critical event or transaction.
    Type: Grant
    Filed: January 12, 2018
    Date of Patent: January 5, 2021
    Assignee: International Business Machines Corporation
    Inventors: Jes Kiran Chittigala, Santhosh Joshi, Srirama R. Kucherlapati
  • Publication number: 20200257599
    Abstract: Examples of techniques for failure detection for central electronics complex (CEC) group management are described herein. An aspect includes issuing a first virtual input/output server (VIOS) probe to a hardware management console (HMC) of a central electronics complex (CEC) group. Another aspect includes receiving a first response packet that includes health data corresponding to a plurality of VIOSes. Another aspect includes determining, based on the first response packet, that cluster down is indicated on a first VIOS. Another aspect includes, based on determining that cluster down is indicated on the first VIOS, getting a VIOS state for the first VIOS from the HMC. Another aspect includes determining based on the VIOS state that the first VIOS is in a down state and determining that the first VIOS is unhealthy. Another aspect includes updating a health data entry corresponding to the first VIOS to indicate that the first VIOS is unhealthy.
    Type: Application
    Filed: April 27, 2020
    Publication date: August 13, 2020
    Inventors: Perinkulam I. Ganesh, Ravi Shankar, Esdras Cruz-Aguilar, Jes Kiran Chittigala, Michael Burton, Corradino Jones, Denise Marie Genty, James Pafumi
  • Patent number: 10713138
    Abstract: Examples of techniques for failure detection for central electronics complex (CEC) group management are described herein. An aspect includes issuing a first logical partition (LPAR) probe to a hardware management console (HMC) of a central electronics complex (CEC) group, wherein the CEC group comprises a plurality of LPARs. Another aspect includes receiving a first response packet from the HMC corresponding to the first LPAR probe, wherein the first response packet comprises health data corresponding to a first LPAR of the plurality of LPARs. Another aspect includes storing the health data corresponding to the first LPAR in a first health data entry corresponding to the first LPAR. Another aspect includes, for a second LPAR of the plurality of LPARs that was not included in the first response packet, updating a second health data entry corresponding to the second LPAR to indicate that the second LPAR is healthy.
    Type: Grant
    Filed: November 8, 2018
    Date of Patent: July 14, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Perinkulam I. Ganesh, Ravi Shankar, Esdras Cruz-Aguilar, Jes Kiran Chittigala, Michael Burton, Corradino Jones, Denise Marie Genty, James Pafumi
  • Publication number: 20200167248
    Abstract: A system and method for automatic and dynamic virtual machine (VM) group membership adjustment to identify and maintain VM groupings for maintaining a data consistency and availability at a computer recovery site in response to a disaster event. Based on a hybrid approach of network and storage analytics using cognitive methods, the system automatically groups the VMs based on patterns of data exchanged between the VMs. The system can store the patterns found during the analysis, find the critical elements in those patterns (like VMs playing the key role of DB server), match the patterns and use them in case a detected failure to make the system functional again at the recovery site. The system stores the communications traffic patterns learned during the network analysis and uses analytics to form or change the VM grouping, and can perform the pattern matching to quickly readjust the group.
    Type: Application
    Filed: November 28, 2018
    Publication date: May 28, 2020
    Inventors: Taru Varshney, Jes Kiran Chittigala, Srikanth Thanneeru, Ravi A. Shankar
  • Publication number: 20200151069
    Abstract: Examples of techniques for failure detection for central electronics complex (CEC) group management are described herein. An aspect includes issuing a first logical partition (LPAR) probe to a hardware management console (HMC) of a central electronics complex (CEC) group, wherein the CEC group comprises a plurality of LPARs. Another aspect includes receiving a first response packet from the HMC corresponding to the first LPAR probe, wherein the first response packet comprises health data corresponding to a first LPAR of the plurality of LPARs. Another aspect includes storing the health data corresponding to the first LPAR in a first health data entry corresponding to the first LPAR. Another aspect includes, for a second LPAR of the plurality of LPARs that was not included in the first response packet, updating a second health data entry corresponding to the second LPAR to indicate that the second LPAR is healthy.
    Type: Application
    Filed: November 8, 2018
    Publication date: May 14, 2020
    Inventors: Perinkulam I. Ganesh, Ravi Shankar, Esdras Cruz-Aguilar, Jes Kiran Chittigala, Michael Burton, Corradino Jones, Denise Marie Genty, James Pafumi
  • Publication number: 20200110669
    Abstract: Aspects include prefetching a plurality of high-level information, high-level metadata, low-level metadata, and low-level information including a plurality of components associated with a monitored entity for disaster recovery. A subsequent instance of the high-level information, the high-level metadata, and the low-level metadata is requested. The subsequent instance of the high-level information is fetched based on detecting a change in the high-level metadata. A subsequent instance of one or more of the components of the low-level information corresponding to one or more changes in the low-level metadata is fetched for updating a plurality of disaster recovery data of the monitored entity in a persistent database.
    Type: Application
    Filed: October 9, 2018
    Publication date: April 9, 2020
    Inventors: Juliet Candee, Jes Kiran Chittigala, Ravi A. Shankar, Bradley J. Smith, Taru Varshney
  • Publication number: 20190303235
    Abstract: In a system having at least two data storage and processing sites, each capable of alternatively serving as a primary site and a backup or target site, disaster recovery migration is optimized by cognitively analyzing at least one system parameter. Using machine learning, at least one pattern of that system related parameter is predicted, and planned or unplanned migration procedures are performed based on the predicted parameter patterns. The analyzed parameter may be data traffic at the sites, and the predicted data traffic pattern is used to assign primary and backup site status to those sites. The analyzed parameter may be the occurrence of events or transactions at the sites, and the predicted event or transaction patterns may be used to determine times of disaster recovery procedure processing so as to not interrupt a critical event or transaction.
    Type: Application
    Filed: June 18, 2019
    Publication date: October 3, 2019
    Inventors: Jes Kiran Chittigala, Santhosh Joshi, Srirama R. Kucherlapati
  • Patent number: 10419390
    Abstract: Two or more nodes in a cluster are determined. The cluster manages one or more resources found on a device. An indication from a first node of the two or more nodes is received. The indication includes a request for an IP lease for the first node. A parity bit setting for the first node is determined. Responsive to determining the parity bit setting of the first node being set to one, an IP lease to the first node is indicated. Responsive to determining the parity bit setting of the first node being set to zero, a denial of an IP lease to the first node is indicated.
    Type: Grant
    Filed: June 27, 2016
    Date of Patent: September 17, 2019
    Assignee: International Business Machines Corporation
    Inventors: Jes Kiran Chittigala, Prabhanjan Gururaj, Suraj S. Shirolikar
  • Publication number: 20190220342
    Abstract: In a system having at least two data storage and processing sites, each capable of alternatively serving as a primary site and a backup or target site, disaster recovery migration is optimized by cognitively analyzing at least one system parameter. Using machine learning, at least one pattern of that system related parameter is predicted, and planned or unplanned migration procedures are performed based on the predicted parameter patterns. The analyzed parameter may be data traffic at the sites, and the predicted data traffic pattern is used to assign primary and backup site status to those sites. The analyzed parameter may be the occurrence of events or transactions at the sites, and the predicted event or transaction patterns may be used to determine times of disaster recovery procedure processing so as to not interrupt a critical event or transaction.
    Type: Application
    Filed: January 12, 2018
    Publication date: July 18, 2019
    Inventors: Jes Kiran Chittigala, Santhosh Joshi, Srirama R. Kucherlapati
  • Publication number: 20170374020
    Abstract: Two or more nodes in a cluster are determined. The cluster manages one or more resources found on a device. An indication from a first node of the two or more nodes is received. The indication includes a request for an IP lease for the first node. A parity bit setting for the first node is determined. Responsive to determining the parity bit setting of the first node being set to one, an IP lease to the first node is indicated. Responsive to determining the parity bit setting of the first node being set to zero, a denial of an IP lease to the first node is indicated.
    Type: Application
    Filed: June 27, 2016
    Publication date: December 28, 2017
    Inventors: Jes Kiran Chittigala, Prabhanjan Gururaj, Suraj S. Shirolikar
  • Publication number: 20160226788
    Abstract: Responsive to a cluster manager for a particular node from among multiple nodes allocating at least one leased resource for a resource group for an application workload on the particular node, on fallover of the resource group from another node to the particular node, setting a timer thread, by the cluster manager for the particular node, to track an amount of time remaining for an initial lease period of the at least one leased resource.
    Type: Application
    Filed: April 6, 2016
    Publication date: August 4, 2016
    Inventors: JES KIRAN CHITTIGALA, RAVI A. SHANKAR
  • Patent number: 9110717
    Abstract: Responsive to a cluster manager for a particular node from among multiple nodes allocating at least one leased resource for a resource group for an application workload on the particular node, on fallover of the resource group from another node to the particular node, setting a timer thread, by the cluster manager for the particular node, to track an amount of time remaining for an initial lease period of the at least one leased resource. Responsive to the timer thread expiring while the resource group is holding the at least one leased resource, maintaining, by the cluster manager for the particular node, the resource group comprising the at least one leased resource for an additional lease period and automatically incurring an additional fee, only if the particular node has the capacity to handle the resource group at a lowest cost from among the nodes.
    Type: Grant
    Filed: July 5, 2012
    Date of Patent: August 18, 2015
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Jes Kiran Chittigala, Ravi A. Shankar
  • Patent number: 8903096
    Abstract: Provided are techniques for the fast and reliable distribution of security keys within a cluster of computing devices, or computers. One embodiment provides a method for secure distribution of encryption keys, comprising generating a symmetric key for the encryption of communication among a plurality of nodes of a cluster of nodes; encrypting the symmetric key with a plurality of public keys, each public key corresponding to a particular node of the plurality of modes, to generate a plurality of encrypted symmetric keys; storing the plurality of encrypted symmetric keys in a central repository; and distributing the encrypted symmetric keys to the nodes such that each particular node receives an encrypted symmetric key corresponding to a corresponding public key of the particular node.
    Type: Grant
    Filed: July 24, 2012
    Date of Patent: December 2, 2014
    Assignee: International Business Machines Corporation
    Inventors: Jes Kiran Chittigala, Ravi A. Shankar, Vidya Ranganathan