Feng Li

US Patent:

20190325370, Oct 24, 2019

Filed:

Jul 2, 2019

Appl. No.:

16/502018

Inventors:

- Redmond WA, US
Feng LI - Bellevue WA, US
Vivek NARASAYYA - Redmond WA, US
Arnd Christian KÖNIG - Kirkland WA, US

International Classification:

G06Q 10/06
G06F 11/34
G06F 16/21

Abstract:

Architecture that enables a Database-as-a-Service (DaaS) to auto-scale container sizes on behalf of tenants. An abstraction is provided that enables tenants to reason about monetary budget and query latency, rather than resource provisioning. An auto-scaling module automatically determines a container size for a subsequent billing interval based on telemetry that comprises latencies (e.g., waits), resource utilizations, and available budget, for example. A set of robust signals are derived from database engine telemetry and combined to significantly improve accuracy of resource demand estimation for database workloads. In a more specific implementation, resource demands can be estimated for arbitrary SQL (structured query language) workloads in a relational database management system (RDBMS).

US Patent:

20170277655, Sep 28, 2017

Filed:

Mar 25, 2016

Appl. No.:

15/081602

Inventors:

- Redmond WA, US
Feng Li - Bellevue WA, US
Manoj A. Syamala - Issaquah WA, US
Vivek R. Narasayya - Redmond WA, US

International Classification:

G06F 15/173
G06F 12/02
G06F 3/06

Abstract:

A server system may include a cluster of multiple computers that are networked for high-speed data communications. Each of the computers has a remote direct memory access (RDMA) network interface to allow high-speed memory sharing between computers. A relational database engine of each computer is configured to utilize a hierarchy of memory for temporary storage of working data, including in order of decreasing access speed (a) local main memory, (b) remote memory accessed via RDMS, and (c) mass storage. The database engine uses the local main memory for working data, and additionally uses the RDMA accessible memory for working data when the local main memory becomes depleted. The server system may include a memory broker to which individual computers report their available or unused memory, and which leases shared memory to requesting computers.

US Patent:

20160321588, Nov 3, 2016

Filed:

May 1, 2015

Appl. No.:

14/702644

Inventors:

- Redmond WA, US
Feng Li - Bellevue WA, US
Vivek Narasayya - Redmond WA, US
Arnd Christian König - Kirkland WA, US

Assignee:

MICROSOFT CORPORATION - Redmond WA

International Classification:

G06Q 10/06
G06Q 20/14

Abstract:

Architecture that enables a Database-as-a-Service (DaaS) to auto-scale container sizes on behalf of tenants. An abstraction is provided that enables tenants to reason about monetary budget and query latency, rather than resource provisioning. An auto-scaling module automatically determines a container size for a subsequent billing interval based on telemetry that comprises latencies (e.g., waits), resource utilizations, and available budget, for example. A set of robust signals are derived from database engine telemetry and combined to significantly improve accuracy of resource demand estimation for database workloads. In a more specific implementation, resource demands can be estimated for arbitrary SQL (structured query language) workloads in a relational database management system (RDBMS).