Patents by Inventor Manoj Syamala
Manoj Syamala 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: 20230333975Abstract: Intelligent memory brokering for multiple process instances, such as relational databases (e.g., SQL servers), reclaims memory based on value, thereby minimizing cost across instances. An exemplary solution includes: based at least on a trigger event, determining a memory profile for each of a plurality of process instances at a computing node; determining an aggregate memory profile, the aggregate memory profile indicating a memory unit cost for each of a plurality of memory units; determining a count of memory units to be reclaimed; identifying, based at least on the aggregate memory profile and the count of memory units to be reclaimed, a count of memory units to be reclaimed within each process instance so that a total cost is minimized to reclaim the determined count; and communicating, to each process instance having identified memory units to be reclaimed, a count of memory units to be reclaimed within the process instance.Type: ApplicationFiled: June 19, 2023Publication date: October 19, 2023Inventors: Manoj SYAMALA, Vivek NARASAYYA, Junfeng DONG, Ajay KALHAN, Shize XU, Changsong LI, Pankaj ARORA, Jiaqi LIU, John M. OSLAKE, Arnd Christian KÖNIG
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Patent number: 11726905Abstract: Intelligent memory brokering for multiple process instances, such as relational databases (e.g., SQL servers), reclaims memory based on value, thereby minimizing cost across instances. An exemplary solution includes: based at least on a trigger event, determining a memory profile for each of a plurality of process instances at a computing node; determining an aggregate memory profile, the aggregate memory profile indicating a memory unit cost for each of a plurality of memory units; determining a count of memory units to be reclaimed; identifying, based at least on the aggregate memory profile and the count of memory units to be reclaimed, a count of memory units to be reclaimed within each process instance so that a total cost is minimized to reclaim the determined count; and communicating, to each process instance having identified memory units to be reclaimed, a count of memory units to be reclaimed within the process instance.Type: GrantFiled: January 21, 2021Date of Patent: August 15, 2023Assignee: Microsoft Technology Licensing, LLCInventors: Manoj Syamala, Vivek Narasayya, Junfeng Dong, Ajay Kalhan, Shize Xu, Changsong Li, Pankaj Arora, Jiaqi Liu, John M. Oslake, Arnd Christian König
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Patent number: 11595319Abstract: Techniques for differential overbooking on a cloud database. These techniques may include determining a reservation amount of a multi-tenant resource for a first service of a based upon an overbooking characteristic of the first service, and determining that a total usage value of the multi-tenant resource by a plurality of services is greater than a threshold value. In addition, the techniques may include determining a service usage value of the multi-tenant resource by the first service, determining a first overage value of the first service based on the service usage value and the reservation amount, and performing a resource reclamation process over the multi-tenant resource based on the first overage value of the first service.Type: GrantFiled: December 21, 2020Date of Patent: February 28, 2023Assignee: Microsoft Technology Licensing, LLCInventors: Changsong Li, Ajay Kalhan, Pankaj Arora, Junfeng Dong, Yi Shan, Christian Konig, Manoj Syamala, Vivek Narasayya, Shize Xu, John M. Oslake, Jiaqi Liu
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Publication number: 20220200927Abstract: Techniques for differential overbooking on a cloud database. These techniques may include determining a reservation amount of a multi-tenant resource for a first service of a based upon an overbooking characteristic of the first service, and determining that a total usage value of the multi-tenant resource by a plurality of services is greater than a threshold value. In addition, the techniques may include determining a service usage value of the multi-tenant resource by the first service, determining a first overage value of the first service based on the service usage value and the reservation amount, and performing a resource reclamation process over the multi-tenant resource based on the first overage value of the first service.Type: ApplicationFiled: December 21, 2020Publication date: June 23, 2022Inventors: Changsong Li, Ajay Kalhan, Pankaj Arora, Junfeng Dong, Yi Shan, Christian Konig, Manoj Syamala, Vivek Narasayya, Shize Xu, John M. Oslake, Jiaqi Liu
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Patent number: 11256619Abstract: A solution is disclosed for memory management of serverless databases that includes: based at least on detecting a trigger event, determining whether memory is to be reclaimed; based at least on determining that memory is to be reclaimed, determining an amount of memory to be reclaimed; identifying memory to be reclaimed; and reclaiming the identified memory. Disclosed solutions are flexible, enabling customization of the aggressiveness and manner of memory reclamation. This permits users to specify a tailored balance point between performance and cost, for arrangements that bill users based on resource usage (e.g., memory consumed by a serverless database). In some examples, users specify a ramp-down parameter that is used to determine how much memory can be evicted in a particular reclamation event, time intervals (or another criteria) for triggering a reclamation event, and a definition for whether a cache is active.Type: GrantFiled: August 13, 2019Date of Patent: February 22, 2022Assignee: Microsoft Technology Licensing, LLCInventors: Manoj Syamala, Arnd Christian König, Vivek Narasayya, Junfeng Dong, Ajay Kalhan, Shize Xu, Changsong Li, Pankaj Arora, Jiaqi Liu, John M. Oslake
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Patent number: 11201832Abstract: Described herein are technologies relating to computing resource allocation among multiple tenants. Each tenant may have a respective absolute reservation for rate-based computing resources, which is independent of computing resource reservations of other tenants. The multiple tenants vie for the rate-based computing resources, and tasks are scheduled based upon which tenants submit the tasks and the resource reservations of such tenants.Type: GrantFiled: June 25, 2020Date of Patent: December 14, 2021Assignee: Microsoft Technology Licensing, LLCInventors: Sudipto Das, Vivek Narasayya, Feng Li, Manoj Syamala
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Publication number: 20210141720Abstract: Intelligent memory brokering for multiple process instances, such as relational databases (e.g., SQL servers), reclaims memory based on value, thereby minimizing cost across instances. An exemplary solution includes: based at least on a trigger event, determining a memory profile for each of a plurality of process instances at a computing node; determining an aggregate memory profile, the aggregate memory profile indicating a memory unit cost for each of a plurality of memory units; determining a count of memory units to be reclaimed; identifying, based at least on the aggregate memory profile and the count of memory units to be reclaimed, a count of memory units to be reclaimed within each process instance so that a total cost is minimized to reclaim the determined count; and communicating, to each process instance having identified memory units to be reclaimed, a count of memory units to be reclaimed within the process instance.Type: ApplicationFiled: January 21, 2021Publication date: May 13, 2021Inventors: Manoj SYAMALA, Vivek NARASAYYA, Junfeng DONG, Ajay KALHAN, Shize XU, Changsong LI, Pankaj ARORA, Jiaqi LIU, John M. OSLAKE, Arnd Christian KÖNIG
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Patent number: 10936480Abstract: Intelligent memory brokering for multiple process instances, such as relational databases (e.g., SQL servers), reclaims memory based on value, thereby minimizing cost across instances. An exemplary solution includes: based at least on a trigger event, determining a memory profile for each of a plurality of process instances at a computing node; determining an aggregate memory profile, the aggregate memory profile indicating a memory unit cost for each of a plurality of memory units; determining a count of memory units to be reclaimed; identifying, based at least on the aggregate memory profile and the count of memory units to be reclaimed, a count of memory units to be reclaimed within each process instance so that a total cost is minimized to reclaim the determined count; and communicating, to each process instance having identified memory units to be reclaimed, a count of memory units to be reclaimed within the process instance.Type: GrantFiled: May 31, 2019Date of Patent: March 2, 2021Assignee: Microsoft Technology Licensing, LLCInventors: Manoj Syamala, Vivek Narasayya, Junfeng Dong, Ajay Kalhan, Shize Xu, Changsong Li, Pankaj Arora, Jiaqi Liu, John M. Oslake, Arnd Christian König
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Publication number: 20200403930Abstract: Described herein are technologies relating to computing resource allocation among multiple tenants. Each tenant may have a respective absolute reservation for rate-based computing resources, which is independent of computing resource reservations of other tenants. The multiple tenants vie for the rate-based computing resources, and tasks are scheduled based upon which tenants submit the tasks and the resource reservations of such tenants.Type: ApplicationFiled: June 25, 2020Publication date: December 24, 2020Inventors: Sudipto Das, Vivek Narasayya, Feng Li, Manoj Syamala
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Publication number: 20200379896Abstract: Intelligent memory brokering for multiple process instances, such as relational databases (e.g., SQL servers), reclaims memory based on value, thereby minimizing cost across instances. An exemplary solution includes: based at least on a trigger event, determining a memory profile for each of a plurality of process instances at a computing node; determining an aggregate memory profile, the aggregate memory profile indicating a memory unit cost for each of a plurality of memory units; determining a count of memory units to be reclaimed; identifying, based at least on the aggregate memory profile and the count of memory units to be reclaimed, a count of memory units to be reclaimed within each process instance so that a total cost is minimized to reclaim the determined count; and communicating, to each process instance having identified memory units to be reclaimed, a count of memory units to be reclaimed within the process instance.Type: ApplicationFiled: May 31, 2019Publication date: December 3, 2020Inventors: Manoj SYAMALA, Vivek NARASAYYA, Junfeng DONG, Ajay KALHAN, Shize XU, Changsong LI, Pankaj ARORA, Jiaqi LIU, John M. OSLAKE, Arnd Christian KÖNIG
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Publication number: 20200349067Abstract: A solution is disclosed for memory management of serverless databases that includes: based at least on detecting a trigger event, determining whether memory is to be reclaimed; based at least on determining that memory is to be reclaimed, determining an amount of memory to be reclaimed; identifying memory to be reclaimed; and reclaiming the identified memory. Disclosed solutions are flexible, enabling customization of the aggressiveness and manner of memory reclamation. This permits users to specify a tailored balance point between performance and cost, for arrangements that bill users based on resource usage (e.g., memory consumed by a serverless database). In some examples, users specify a ramp-down parameter that is used to determine how much memory can be evicted in a particular reclamation event, time intervals (or another criteria) for triggering a reclamation event, and a definition for whether a cache is active.Type: ApplicationFiled: August 13, 2019Publication date: November 5, 2020Inventors: Manoj SYAMALA, Arnd Christian KÖNIG, Vivek NARASAYYA, Junfeng DONG, Ajay KALHAN, Shize XU, Changsong LI, Pankaj ARORA, Jiaqi LIU, John M. OSLAKE
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Patent number: 10749814Abstract: Described herein are technologies relating to computing resource allocation among multiple tenants. Each tenant may have a respective absolute reservation for rate-based computing resources, which is independent of computing resource reservations of other tenants. The multiple tenants vie for the rate-based computing resources, and tasks are scheduled based upon which tenants submit the tasks and the resource reservations of such tenants.Type: GrantFiled: August 21, 2018Date of Patent: August 18, 2020Assignee: Microsoft Technology Licensing, LLCInventors: Sudipto Das, Vivek Narasayya, Feng Li, Manoj Syamala
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Publication number: 20190089647Abstract: Described herein are technologies relating to computing resource allocation among multiple tenants. Each tenant may have a respective absolute reservation for rate-based computing resources, which is independent of computing resource reservations of other tenants. The multiple tenants vie for the rate-based computing resources, and tasks are scheduled based upon which tenants submit the tasks and the resource reservations of such tenants.Type: ApplicationFiled: August 21, 2018Publication date: March 21, 2019Inventors: Sudipto Das, Vivek Narasayya, Feng Li, Manoj Syamala
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Patent number: 10063491Abstract: Described herein are technologies relating to computing resource allocation among multiple tenants. Each tenant may have a respective absolute reservation for rate-based computing resources, which is independent of computing resource reservations of other tenants. The multiple tenants vie for the rate-based computing resources, and tasks are scheduled based upon which tenants submit the tasks and the resource reservations of such tenants.Type: GrantFiled: February 16, 2017Date of Patent: August 28, 2018Assignee: Microsoft Technology Licensing, LLCInventors: Sudipto Das, Vivek Narasayya, Feng Li, Manoj Syamala
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Publication number: 20170163554Abstract: Described herein are technologies relating to computing resource allocation among multiple tenants. Each tenant may have a respective absolute reservation for rate-based computing resources, which is independent of computing resource reservations of other tenants. The multiple tenants vie for the rate-based computing resources, and tasks are scheduled based upon which tenants submit the tasks and the resource reservations of such tenants.Type: ApplicationFiled: February 16, 2017Publication date: June 8, 2017Inventors: Sudipto Das, Vivek Narasayya, Feng Li, Manoj Syamala
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Patent number: 9602426Abstract: Described herein are technologies relating to computing resource allocation among multiple tenants. Each tenant may have a respective absolute reservation for rate-based computing resources, which is independent of computing resource reservations of other tenants. The multiple tenants vie for the rate-based computing resources, and tasks are scheduled based upon which tenants submit the tasks and the resource reservations of such tenants.Type: GrantFiled: May 6, 2014Date of Patent: March 21, 2017Assignee: Microsoft Technology Licensing, LLCInventors: Sudipto Das, Vivek Narasayya, Feng Li, Manoj Syamala
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Patent number: 9009124Abstract: A plurality of indicators representing a plurality of respective candidate database configurations may be obtained, each of the candidate database configurations including a plurality of database queries and a plurality of candidate database indexes associated with a database table. A portion of the candidate database indexes included in the plurality of database indexes may be selected based on skyline selection. An enumeration of the portion of the plurality of the candidate database indexes may be determined based on a greedy algorithm.Type: GrantFiled: June 17, 2011Date of Patent: April 14, 2015Assignee: Microsoft Technology Licensing, LLCInventors: Hideaki Kimura, Vivek Narasayya, Manoj Syamala
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Publication number: 20140379924Abstract: Described herein are technologies relating to computing resource allocation among multiple tenants. Each tenant may have a respective absolute reservation for rate-based computing resources, which is independent of computing resource reservations of other tenants. The multiple tenants vie for the rate-based computing resources, and tasks are scheduled based upon which tenants submit the tasks and the resource reservations of such tenants.Type: ApplicationFiled: May 6, 2014Publication date: December 25, 2014Applicant: Microsoft CorporationInventors: Sudipto Das, Vivek Narasayya, Feng Li, Manoj Syamala
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Patent number: 8805800Abstract: This patent application relates to granular and workload driven database index defragmentation techniques. These techniques allow for defragmenting individual index ranges, performing benefit analysis to estimate the impact of defragmenting indexes or index ranges, and leveraging such benefit analysis to provide automated workload-driven recommendations of index(es) or index range(s) to defragment.Type: GrantFiled: March 14, 2010Date of Patent: August 12, 2014Assignee: Microsoft CorporationInventors: Vivek Narasayya, Manoj Syamala
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Publication number: 20130332428Abstract: The subject disclosure is directed towards defragmenting one or more ranges of a database index based upon actual usage statistics and policy. A range tracker tracks and uses statistics corresponding to actual I/O operations to determine whether the benefit of defragmenting a range sufficiently (based upon the policy) exceeds its cost. If so, the online range defragmenter automatically defragments the range in an online manner. The range tracker may be configurable to monitor less than all ranges of the index.Type: ApplicationFiled: June 11, 2012Publication date: December 12, 2013Applicant: MICROSOFT CORPORATIONInventors: Vivek Ravindranath Narasayya, Hyunjung Park, Manoj Syamala