Patents by Inventor Ananth S. Narayan

Ananth S. Narayan 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: 20220029895
    Abstract: In accordance with some embodiments, a cloud service provider may operate a data center in a way that dynamically reallocates resources across nodes within the data center based on both utilization and service level agreements. In other words, the allocation of resources may be adjusted dynamically based on current conditions. The current conditions in the data center may be a function of the nature of all the current workloads. Instead of simply managing the workloads in a way to increase overall execution efficiency, the data center instead may manage the workload to achieve quality of service requirements for particular workloads according to service level agreements.
    Type: Application
    Filed: October 5, 2021
    Publication date: January 27, 2022
    Applicant: Intel Corporation
    Inventors: Mrittika Ganguli, Muthuvel M. I, Ananth S. Narayan, Jaideep Moses, Andrew J. Herdrich, Rahul Khanna
  • Patent number: 11212235
    Abstract: Technologies for contention-aware cloud compute scheduling include a number of compute nodes in a cloud computing cluster and a cloud controller. Each compute node collects performance data indicative of cache contention on the compute node, for example, cache misses per thousand instructions. Each compute node determines a contention score as a function of the performance data and stores the contention score in a cloud state database. In response to a request for a new virtual machine, the cloud controller receives contention scores for the compute nodes and selects a compute node based on the contention score. The cloud controller schedules the new virtual machine on the selected compute node. The contention score may include a contention metric and a contention score level indicative of the contention metric. The contention score level may be determined by comparing the contention metric to a number of thresholds. Other embodiments are described and claimed.
    Type: Grant
    Filed: May 15, 2020
    Date of Patent: December 28, 2021
    Assignee: INTEL CORPORATION
    Inventors: Subramony Sesha, Archana Patni, Ananth S. Narayan, Mrittika Ganguli
  • Publication number: 20200344175
    Abstract: Technologies for contention-aware cloud compute scheduling include a number of compute nodes in a cloud computing cluster and a cloud controller. Each compute node collects performance data indicative of cache contention on the compute node, for example, cache misses per thousand instructions. Each compute node determines a contention score as a function of the performance data and stores the contention score in a cloud state database. In response to a request for a new virtual machine, the cloud controller receives contention scores for the compute nodes and selects a compute node based on the contention score. The cloud controller schedules the new virtual machine on the selected compute node. The contention score may include a contention metric and a contention score level indicative of the contention metric. The contention score level may be determined by comparing the contention metric to a number of thresholds. Other embodiments are described and claimed.
    Type: Application
    Filed: May 15, 2020
    Publication date: October 29, 2020
    Inventors: Subramony Sesha, Archana Patni, Ananth S. Narayan, Mrittika Ganguli
  • Patent number: 10747640
    Abstract: Techniques and apparatus for managing a distributed computing environment using event digests are described. In one embodiment, for example, an apparatus may include at least one memory, and logic for a system manager, at least a portion of the logic comprised in hardware coupled to the at least one memory, the logic to determine a workload to schedule, access an event digest associated with a plurality of compute hosts, the event digest comprising event digest values determined using out-of-band information, determine metrics from the event digest, generate at least one host weight for at least a portion of the plurality of compute hosts based on the metrics, identify at least one candidate host from the portion of the plurality of compute hosts based on the at least one host weight, and schedule the workload on the at least one candidate host. Other embodiments are described and claimed.
    Type: Grant
    Filed: June 28, 2017
    Date of Patent: August 18, 2020
    Assignee: INTEL CORPORATION
    Inventors: Ananth S. Narayan, Lukasz Grzymkowski, Mrittika Ganguli, Mariusz Oriol
  • Publication number: 20200257566
    Abstract: Technologies for managing disaggregated resources in a data center includes a compute device configured to determine that a service related task has been generated and create one or more microservices to perform the created service related task using at least one of a plurality of services managed by the microservice resource controller circuitry. The compute device is further configuration to generate one or more microtasks to compose at least one service based on the one or more microservices. Other embodiments are described herein.
    Type: Application
    Filed: August 30, 2018
    Publication date: August 13, 2020
    Inventors: Mrittika GANGULI, Ananth S. NARAYAN, Malini K. BHANDARU, Mohan J. KUMAR, Wei YANG, Lin YANG, Nathaniel POTTER, Madhuri KUMARI
  • Patent number: 10721137
    Abstract: Systems described herein operate to improve network performance in a multi-tenant cloud computing environment. Systems can include communication circuitry and processing circuitry to generate a phase sequence matrix that indicates the identity and number of phases of a workload by measuring resources of the compute node during execution of the workload throughout a lifetime of the workload. The processing circuitry can generate a workload fingerprint that includes the phase sequence matrix and a phrase residency matrix. The phase residency matrix can indicate the fraction of execution time of the workload spent in each phase identified in the phase sequence matrix. A cloud controller can access the workload fingerprint for multiple workloads operating on multiple compute nodes in the cloud cluster to adjust workload allocations based at least on these workload fingerprints and on whether service level objectives (SLOs) are being met.
    Type: Grant
    Filed: June 30, 2016
    Date of Patent: July 21, 2020
    Assignee: Intel Corporation
    Inventors: Mrittika Ganguli, Rahul Khanna, Ananth S. Narayan, Piyush Gupta
  • Patent number: 10659386
    Abstract: Technologies for contention-aware cloud compute scheduling include a number of compute nodes in a cloud computing cluster and a cloud controller. Each compute node collects performance data indicative of cache contention on the compute node, for example, cache misses per thousand instructions. Each compute node determines a contention score as a function of the performance data and stores the contention score in a cloud state database. In response to a request for a new virtual machine, the cloud controller receives contention scores for the compute nodes and selects a compute node based on the contention score. The cloud controller schedules the new virtual machine on the selected compute node. The contention score may include a contention metric and a contention score level indicative of the contention metric. The contention score level may be determined by comparing the contention metric to a number of thresholds. Other embodiments are described and claimed.
    Type: Grant
    Filed: January 16, 2018
    Date of Patent: May 19, 2020
    Assignee: Intel Corporation
    Inventors: Subramony Sesha, Archana Patni, Ananth S. Narayan, Mrittika Ganguli
  • Patent number: 10554505
    Abstract: In accordance with some embodiments, a cloud service provider may operate a data center in a way that dynamically reallocates resources across nodes within the data center based on both utilization and service level agreements. In other words, the allocation of resources may be adjusted dynamically based on current conditions. The current conditions in the data center may be a function of the nature of all the current workloads. Instead of simply managing the workloads in a way to increase overall execution efficiency, the data center instead may manage the workload to achieve quality of service requirements for particular workloads according to service level agreements.
    Type: Grant
    Filed: September 28, 2012
    Date of Patent: February 4, 2020
    Assignee: Intel Corporation
    Inventors: Mrittika Ganguli, Muthuvel M. I, Ananth S. Narayan, Jaideep Moses, Andrew J. Herdrich, Rahul Khanna
  • Publication number: 20190065261
    Abstract: Technologies for providing in-processor workload phase detection include a sled having a compute engine, which itself includes a performance monitor unit. The compute engine obtains telemetry data from the performance monitor unit. The performance monitor unit produces telemetry data indicative of performance metrics of the sled during execution of one or more workloads. The telemetry data is indicative of a resource utilization and workload performance by the sled as the workloads are executed. The compute engine determines, from a lookup table indicative of resource utilization phases, a resource utilization phase based on the obtained telemetry data. A workload fingerprint is updated based on the determined resource utilization phase, and the workload fingerprint is output. Other embodiments are also described and claimed.
    Type: Application
    Filed: December 30, 2017
    Publication date: February 28, 2019
    Inventors: Ananth S. Narayan, Sagar V. Dalvi, Mrittika Ganguli, Sergiu D. Ghetie
  • Publication number: 20180309692
    Abstract: Technologies for contention-aware cloud compute scheduling include a number of compute nodes in a cloud computing cluster and a cloud controller. Each compute node collects performance data indicative of cache contention on the compute node, for example, cache misses per thousand instructions. Each compute node determines a contention score as a function of the performance data and stores the contention score in a cloud state database. In response to a request for a new virtual machine, the cloud controller receives contention scores for the compute nodes and selects a compute node based on the contention score. The cloud controller schedules the new virtual machine on the selected compute node. The contention score may include a contention metric and a contention score level indicative of the contention metric. The contention score level may be determined by comparing the contention metric to a number of thresholds. Other embodiments are described and claimed.
    Type: Application
    Filed: January 16, 2018
    Publication date: October 25, 2018
    Inventors: Subramony Sesha, Archana Patni, Ananth S. Narayan, Mrittika Ganguli
  • Publication number: 20180212842
    Abstract: In accordance with some embodiments, a cloud service provider may operate a data center in a way that dynamically reallocates resources across nodes within the data center based on both utilization and service level agreements. In other words, the allocation of resources may be adjusted dynamically based on current conditions. The current conditions in the data center may be a function of the nature of all the current workloads. Instead of simply managing the workloads in a way to increase overall execution efficiency, the data center instead may manage the workload to achieve quality of service requirements for particular workloads according to service level agreements.
    Type: Application
    Filed: March 20, 2018
    Publication date: July 26, 2018
    Applicant: Intel Corporation
    Inventors: Mrittika Ganguli, Muthuvel M. I, Ananth S. Narayan, Jaideep Moses, Andrew J. Herdrich, Rahul Khanna
  • Publication number: 20180129503
    Abstract: Techniques and apparatus for managing a distributed computing environment using event digests are described. In one embodiment, for example, an apparatus may include at least one memory, and logic for a system manager, at least a portion of the logic comprised in hardware coupled to the at least one memory, the logic to determine a workload to schedule, access an event digest associated with a plurality of compute hosts, the event digest comprising event digest values determined using out-of-band information, determine metrics from the event digest, generate at least one host weight for at least a portion of the plurality of compute hosts based on the metrics, identify at least one candidate host from the portion of the plurality of compute hosts based on the at least one host weight, and schedule the workload on the at least one candidate host. Other embodiments are described and claimed.
    Type: Application
    Filed: June 28, 2017
    Publication date: May 10, 2018
    Applicant: INTEL CORPORATION
    Inventors: ANANTH S. NARAYAN, LUKASZ GRZYMKOWSKI, MRITTIKA GANGULI, MARIUSZ ORIOL
  • Patent number: 9871742
    Abstract: Technologies for contention-aware cloud compute scheduling include a number of compute nodes in a cloud computing cluster and a cloud controller. Each compute node collects performance data indicative of cache contention on the compute node, for example, cache misses per thousand instructions. Each compute node determines a contention score as a function of the performance data and stores the contention score in a cloud state database. In response to a request for a new virtual machine, the cloud controller receives contention scores for the compute nodes and selects a compute node based on the contention score. The cloud controller schedules the new virtual machine on the selected compute node. The contention score may include a contention metric and a contention score level indicative of the contention metric. The contention score level may be determined by comparing the contention metric to a number of thresholds. Other embodiments are described and claimed.
    Type: Grant
    Filed: December 22, 2016
    Date of Patent: January 16, 2018
    Assignee: Intel Corporation
    Inventors: Subramony Sesha, Archana Patni, Ananth S. Narayan, Mrittika Ganguli
  • Publication number: 20180006903
    Abstract: Systems described herein operate to improve network performance in a multi-tenant cloud computing environment. Systems can include communication circuitry and processing circuitry to generate a phase sequence matrix that indicates the identity and number of phases of a workload by measuring resources of the compute node during execution of the workload throughout a lifetime of the workload. The processing circuitry can generate a workload fingerprint that includes the phase sequence matrix and a phrase residency matrix. The phase residency matrix can indicate the fraction of execution time of the workload spent in each phase identified in the phase sequence matrix. A cloud controller can access the workload fingerprint for multiple workloads operating on multiple compute nodes in the cloud cluster to adjust workload allocations based at least on these workload fingerprints and on whether service level objectives (SLOs) are being met.
    Type: Application
    Filed: June 30, 2016
    Publication date: January 4, 2018
    Inventors: Mrittika Ganguli, Rahul Khanna, Ananth S. Narayan, Piyush Gupta
  • Publication number: 20180004452
    Abstract: Technologies for providing dynamically managed quality of service in a distributed storage system include an apparatus having a processor. The processor is to determine capabilities of one or more compute devices of the distributed storage system. The processor is also to obtain an indicator of a target quality of service to be provided by the distributed storage system, determine target performance metrics associated with the target quality of service, determine target configuration settings for the one or more compute devices of the distributed storage system to provide the target quality of service, configure the one or more compute devices with the target configuration settings, determine whether a present performance of the distributed storage system satisfies the target quality of service, and reconfigure the one or more compute devices in response to a determination that the target quality of service is not satisfied. Other embodiments are described and claimed.
    Type: Application
    Filed: June 30, 2016
    Publication date: January 4, 2018
    Inventors: Mrittika Ganguli, Ananth S. Narayan, Anjaneya R. Chagam Reddy, Mohan J. Kumar
  • Publication number: 20170289002
    Abstract: Technologies for deploying dynamic underlay networks in a cloud computing infrastructure include a network controller of the cloud computing infrastructure communicatively coupled via disaggregated switches to one or more compute nodes of the cloud computing infrastructure. The network controller is configured to receive tenant network creation requests from a cloud operating system (OS) of the cloud computing infrastructure indicating that a tenant network is to be created in the cloud computing infrastructure (e.g., for a new tenant of the cloud computing infrastructure). The network controller is configured to provision an underlay network to support the tenant network based on identified physical resources using criteria specified by the cloud OS and transmit information of the provisioned underlay network to the cloud OS that is usable to create a cloud visible overlay network associated with the underlay network. Other embodiments are described herein.
    Type: Application
    Filed: March 31, 2016
    Publication date: October 5, 2017
    Inventors: Mrittika Ganguli, Deepak S, Ananth S. Narayan, Hubert Sokolowski
  • Publication number: 20170237681
    Abstract: Technologies for contention-aware cloud compute scheduling include a number of compute nodes in a cloud computing cluster and a cloud controller. Each compute node collects performance data indicative of cache contention on the compute node, for example, cache misses per thousand instructions. Each compute node determines a contention score as a function of the performance data and stores the contention score in a cloud state database. In response to a request for a new virtual machine, the cloud controller receives contention scores for the compute nodes and selects a compute node based on the contention score. The cloud controller schedules the new virtual machine on the selected compute node. The contention score may include a contention metric and a contention score level indicative of the contention metric. The contention score level may be determined by comparing the contention metric to a number of thresholds. Other embodiments are described and claimed.
    Type: Application
    Filed: December 22, 2016
    Publication date: August 17, 2017
    Inventors: Subramony Sesha, Archana Patni, Ananth S. Narayan, Mrittika Ganguli
  • Patent number: 9614779
    Abstract: Technologies for contention-aware cloud compute scheduling include a number of compute nodes in a cloud computing cluster and a cloud controller. Each compute node collects performance data indicative of cache contention on the compute node, for example, cache misses per thousand instructions. Each compute node determines a contention score as a function of the performance data and stores the contention score in a cloud state database. In response to a request for a new virtual machine, the cloud controller receives contention scores for the compute nodes and selects a compute node based on the contention score. The cloud controller schedules the new virtual machine on the selected compute node. The contention score may include a contention metric and a contention score level indicative of the contention metric. The contention score level may be determined by comparing the contention metric to a number of thresholds. Other embodiments are described and claimed.
    Type: Grant
    Filed: December 24, 2013
    Date of Patent: April 4, 2017
    Assignee: Intel Corporation
    Inventors: Subramony Sesha, Archana Patni, Ananth S. Narayan, Mrittika Mrittika Ganguli
  • Publication number: 20140095691
    Abstract: In accordance with some embodiments, a cloud service provider may operate a data center in a way that dynamically reallocates resources across nodes within the data center based on both utilization and service level agreements. In other words, the allocation of resources may be adjusted dynamically based on current conditions. The current conditions in the data center may be a function of the nature of all the current workloads. Instead of simply managing the workloads in a way to increase overall execution efficiency, the data center instead may manage the workload to achieve quality of service requirements for particular workloads according to service level agreements.
    Type: Application
    Filed: September 28, 2012
    Publication date: April 3, 2014
    Inventors: Mrittika Ganguli, Muthuvel M. I., Ananth S. Narayan, Jaideep Moses, Andrew J. Herdrich, Rahul Khanna
  • Publication number: 20090080442
    Abstract: A coordinated mechanism to conserve power in a multi-node environment is disclosed. A multi-node environment may comprise multiple individual computer systems coupled by a network or, a shared memory architecture multiprocessors, or many-core computers. The power management features of the processor, platform elements, and the devices may be used to conserve power in a multi-node environment. A master node may determine the task and slave nodes required to perform the task and may wake-up the slave nodes required to perform the task while causing the other slave nodes to enter or continue in the sleep-state. The slave nodes, which are woken in-turn may determine the components of the slave nodes required for performing the assigned task and may cause other components to enter a sleep-state.
    Type: Application
    Filed: September 26, 2008
    Publication date: March 26, 2009
    Inventors: Ananth S. Narayan, Rajeev D. Muralidhar