Patents by Inventor SAURABH DILEEP BAJI

SAURABH DILEEP BAJI 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).

  • Publication number: 20200204623
    Abstract: A service provider may apply customer-selected or customer-defined auto-scaling policies to a cluster of resources (e.g., virtualized computing resource instances or storage resource instances in a MapReduce cluster). Different policies may be applied to different subsets of cluster resources (e.g., different instance groups containing nodes of different types or having different roles). Each policy may define an expression to be evaluated during execution of a distributed application, a scaling action to take if the expression evaluates true, and an amount by which capacity should be increased or decreased. The expression may be dependent on metrics emitted by the application, cluster, or resource instances by default, metrics defined by the client and emitted by the application, or metrics created through aggregation. Metric collection, aggregation and rules evaluation may be performed by a separate service or by cluster components. An API may support auto-scaling policy definition.
    Type: Application
    Filed: February 28, 2020
    Publication date: June 25, 2020
    Applicant: Amazon Technologies, Inc.
    Inventors: Jonathan Daly Einkauf, Luca Natali, Bhargava Ram Kalathuru, Saurabh Dileep Baji, Abhishek Rajnikant Sinha
  • Patent number: 10659523
    Abstract: At the request of a customer, a distributed computing service provider may create multiple clusters under a single customer account, and may isolate them from each other. For example, various isolation mechanisms (or combinations of isolation mechanisms) may be applied when creating the clusters to isolate a given cluster of compute nodes from network traffic from compute nodes of other clusters (e.g., by creating the clusters in different VPCs); to restrict access to data, metadata, or resources that are within the given cluster of compute nodes or that are associated with the given cluster of compute nodes by compute nodes of other clusters in the distributed computing system (e.g., using an instance metadata tag and/or a storage system prefix); and/or restricting access to application programming interfaces of the distributed computing service by the given cluster of compute nodes (e.g., using an identity and access manager).
    Type: Grant
    Filed: May 23, 2014
    Date of Patent: May 19, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Rejith George Joseph, Tin-Yu Lee, Scott Michael Le Grand, Saurabh Dileep Baji
  • Patent number: 10581964
    Abstract: A service provider may apply customer-selected or customer-defined auto-scaling policies to a cluster of resources (e.g., virtualized computing resource instances or storage resource instances in a MapReduce cluster). Different policies may be applied to different subsets of cluster resources (e.g., different instance groups containing nodes of different types or having different roles). Each policy may define an expression to be evaluated during execution of a distributed application, a scaling action to take if the expression evaluates true, and an amount by which capacity should be increased or decreased. The expression may be dependent on metrics emitted by the application, cluster, or resource instances by default, metrics defined by the client and emitted by the application, or metrics created through aggregation. Metric collection, aggregation and rules evaluation may be performed by a separate service or by cluster components. An API may support auto-scaling policy definition.
    Type: Grant
    Filed: December 18, 2017
    Date of Patent: March 3, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Jonathan Daly Einkauf, Luca Natali, Bhargava Ram Kalathuru, Saurabh Dileep Baji, Abhishek Rajnikant Sinha
  • Patent number: 10379956
    Abstract: Data files in a distributed system sometimes becomes unavailable. A method for fault tolerance without data loss in a distributed file system includes allocating data nodes of the distributed file system among a plurality of compute groups, replicating a data file among a subset of the plurality of the compute groups such that the data file is located in at least two compute zones, wherein the first compute zone is isolated from the second compute zone, monitoring the accessibility of the data files, and causing a distributed task requiring data in the data file to be executed by a compute instance in the subset of the plurality of the compute groups. Upon detecting a failure in the accessibility of a data node with the data file, the task management node may redistribute the distributed task among other compute instances with access to any replica of the data file.
    Type: Grant
    Filed: May 15, 2017
    Date of Patent: August 13, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Mohana Sudhan Gandhi, Rejith George Joseph, Bandish N. Chheda, Saurabh Dileep Baji
  • Patent number: 10148736
    Abstract: A client may submit a job to a service provider that processes a large data set and that employs a message passing interface (MPI) to coordinate the collective execution of the job on multiple compute nodes. The framework may create a MapReduce cluster (e.g., within a VPC) and may generate a single key pair for the cluster, which may be downloaded by nodes in the cluster and used to establish secure node-to-node communication channels for MPI messaging. A single node may be assigned as a mapper process and may launch the MPI job, which may fork its commands to other nodes in the cluster (e.g., nodes identified in a hostfile associated with the MPI job), according to the MPI interface. A rankfile may be used to synchronize the MPI job and another MPI process used to download portions of the data set to respective nodes in the cluster.
    Type: Grant
    Filed: May 19, 2014
    Date of Patent: December 4, 2018
    Assignee: Amazon Technologies, Inc.
    Inventors: Tin-Yu Lee, Rejith George Joseph, Scott Michael Le Grand, Saurabh Dileep Baji, Peter Sirota
  • Patent number: 10133646
    Abstract: A method for providing fault tolerance in a distributed file system of a service provider may include launching at least one data storage node on at least a first virtual machine instance (VMI) running on one or more servers of the service provider and storing file data. At least one data management node may be launched on at least a second VMI running on the one or more servers of the service provider. The at least second VMI may be associated with a dedicated IP address and the at least one data management node may store metadata information associated with the file data in a network storage attached to the at least second VMI. Upon detecting a failure of the at least second VMI, the at least one data management node may be re-launched on at least a third VMI running on the one or more servers.
    Type: Grant
    Filed: March 24, 2017
    Date of Patent: November 20, 2018
    Assignee: Amazon Technologies, Inc.
    Inventors: Rejith George Joseph, Tin-Yu Lee, Bandish N. Chheda, Scott Michael Le Grand, Saurabh Dileep Baji
  • Publication number: 20180109610
    Abstract: A service provider may apply customer-selected or customer-defined auto-scaling policies to a cluster of resources (e.g., virtualized computing resource instances or storage resource instances in a MapReduce cluster). Different policies may be applied to different subsets of cluster resources (e.g., different instance groups containing nodes of different types or having different roles). Each policy may define an expression to be evaluated during execution of a distributed application, a scaling action to take if the expression evaluates true, and an amount by which capacity should be increased or decreased. The expression may be dependent on metrics emitted by the application, cluster, or resource instances by default, metrics defined by the client and emitted by the application, or metrics created through aggregation. Metric collection, aggregation and rules evaluation may be performed by a separate service or by cluster components. An API may support auto-scaling policy definition.
    Type: Application
    Filed: December 18, 2017
    Publication date: April 19, 2018
    Applicant: Amazon Technologies, Inc.
    Inventors: JONATHAN DALY EINKAUF, LUCA NATALI, BHARGAVA RAM KALATHURU, SAURABH DILEEP BAJI, ABHISHEK RAJNIKANT SINHA
  • Patent number: 9848041
    Abstract: A service provider may apply customer-selected or customer-defined auto-scaling policies to a cluster of resources (e.g., virtualized computing resource instances or storage resource instances in a MapReduce cluster). Different policies may be applied to different subsets of cluster resources (e.g., different instance groups containing nodes of different types or having different roles). Each policy may define an expression to be evaluated during execution of a distributed application, a scaling action to take if the expression evaluates true, and an amount by which capacity should be increased or decreased. The expression may be dependent on metrics emitted by the application, cluster, or resource instances by default, metrics defined by the client and emitted by the application, or metrics created through aggregation. Metric collection, aggregation and rules evaluation may be performed by a separate service or by cluster components. An API may support auto-scaling policy definition.
    Type: Grant
    Filed: May 1, 2015
    Date of Patent: December 19, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: Jonathan Daly Einkauf, Luca Natali, Bhargava Ram Kalathuru, Saurabh Dileep Baji, Abhishek Rajnikant Sinha
  • Publication number: 20170249215
    Abstract: Data files in a distributed system sometimes becomes unavailable. A method for fault tolerance without data loss in a distributed file system includes allocating data nodes of the distributed file system among a plurality of compute groups, replicating a data file among a subset of the plurality of the compute groups such that the data file is located in at least two compute zones, wherein the first compute zone is isolated from the second compute zone, monitoring the accessibility of the data files, and causing a distributed task requiring data in the data file to be executed by a compute instance in the subset of the plurality of the compute groups. Upon detecting a failure in the accessibility of a data node with the data file, the task management node may redistribute the distributed task among other compute instances with access to any replica of the data file.
    Type: Application
    Filed: May 15, 2017
    Publication date: August 31, 2017
    Inventors: Mohana Sudhan Gandhi, Rejith George Joseph, Bandish N. Chheda, Saurabh Dileep Baji
  • Patent number: 9672122
    Abstract: Data files in a distributed system sometimes becomes unavailable. A method for fault tolerance without data loss in a distributed file system includes allocating data nodes of the distributed file system among a plurality of compute groups, replicating a data file among a subset of the plurality of the compute groups such that the data file is located in at least two compute zones, wherein the first compute zone is isolated from the second compute zone, monitoring the accessibility of the data files, and causing a distributed task requiring data in the data file to be executed by a compute instance in the subset of the plurality of the compute groups. Upon detecting a failure in the accessibility of a data node with the data file, the task management node may redistribute the distributed task among other compute instances with access to any replica of the data file.
    Type: Grant
    Filed: September 29, 2014
    Date of Patent: June 6, 2017
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Mohana Sudhan Gandhi, Rejith George Joseph, Bandish N. Chheda, Saurabh Dileep Baji
  • Patent number: 9612924
    Abstract: A method for providing fault tolerance in a distributed file system of a service provider may include launching at least one data storage node on at least a first virtual machine instance (VMI) running on one or more servers of the service provider and storing file data. At least one data management node may be launched on at least a second VMI running on the one or more servers of the service provider. The at least second VMI may be associated with a dedicated IP address and the at least one data management node may store metadata information associated with the file data in a network storage attached to the at least second VMI. Upon detecting a failure of the at least second VMI, the at least one data management node may be re-launched on at least a third VMI running on the one or more servers.
    Type: Grant
    Filed: June 25, 2014
    Date of Patent: April 4, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: Rejith George Joseph, Tin-Yu Lee, Bandish N. Chheda, Scott Michael Le Grand, Saurabh Dileep Baji
  • Publication number: 20160323377
    Abstract: A service provider may apply customer-selected or customer-defined auto-scaling policies to a cluster of resources (e.g., virtualized computing resource instances or storage resource instances in a MapReduce cluster). Different policies may be applied to different subsets of cluster resources (e.g., different instance groups containing nodes of different types or having different roles). Each policy may define an expression to be evaluated during execution of a distributed application, a scaling action to take if the expression evaluates true, and an amount by which capacity should be increased or decreased. The expression may be dependent on metrics emitted by the application, cluster, or resource instances by default, metrics defined by the client and emitted by the application, or metrics created through aggregation. Metric collection, aggregation and rules evaluation may be performed by a separate service or by cluster components. An API may support auto-scaling policy definition.
    Type: Application
    Filed: May 1, 2015
    Publication date: November 3, 2016
    Applicant: AMAZON TECHNOLOGIES, INC.
    Inventors: JONATHAN DALY EINKAUF, LUCA NATALI, BHARGAVA RAM KALATHURU, SAURABH DILEEP BAJI, ABHISHEK RAJNIKANT SINHA