Microsoft Technology Licensing, LLC

National University of Singapore

Rolls-royce Corporation

Cambridge Enterprise Limited

University of Mysore

Bangalore University

Feng Li

Vivek Ravindranath Narasayya

Sudipto Das

Manoj A Syamala

Surajit J Chaudhuri

Badrish Chandramouli

Arnd Christian König

Hyunjung Park

Tai-Shung Chung

Yu Zhang

Iulian Marinescu

Peter Edward Lobie

Kam Man Hui

Vijay Kumar Pandey

Shobith Rangappa

Basappa

Sui Zhang

Alan Prem Kumar

Adrian W Y Tan

Erjia Liu

Chakrabhavi Dhananjaya Mohan

Hanumantharayappa Bharathkumar

Gautam Sethi

Andreas Bender

Julian Fuchs

Muthu Kumaraswamy Shanmugam

Krishna Bulusu

Xiaoyun Dai

Amudha Deivasigamani

Sun Wen

Kanchugarakoppal Subbegowda Rangappa

The present invention provides a composite membrane suitable for liquid-liquid filtration/reverse osmosis. The invention also provides a copolymer useful in the composite membrane, the copolymer comprising an anchoring repeating unit and a foulant-repelling repeating unit, as well as methods for preparing the composite membrane and copolymers. In a preferred embodiment, a copolymer (P [SBMA-co-HEMA]) is synthesized via the free radical copolymerization of a zwitterionic monomer of sulfobetaine methacrylate (SBMA) and an anchoring monomer of hydroxyl ethyl methacrylate (HEMA).

Antifouling polymer for reverse osmosis and membrane comprising same

A method comprising: cold-spraying a surface of a substrate with a bond material to form a bond coating; and cold-spraying a surface of the bond coating with a coating material to form a top coating. The bond material is different from the coating material and harder than the surface of the substrate.

Cold spraying

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.

Dynamic allocation of resources while considering resource reservations

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).

Automatic demand-driven resource scaling for relational database-as-a-service

Techniques for tenant performance isolation in a multiple-tenant database management system are described. These techniques may include providing a reservation of server resources. The server resources reservation may include a reservation of a central processing unit (CPU), a reservation of Input/Ouput throughput, and/or a reservation of buffer pool memory or working memory. The techniques may also include a metering mechanism that determines whether the resource reservation is satisfied. The metering mechanism may be independent of an actual resource allocation mechanism associated with the server resource reservation.

Isolating resources and performance in a database management system

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.

Memory sharing for working data using RDMA

The present disclosure relates to compound of structural Formula I and a method for preparing said compounds. The disclosure further relates to a method of employing the Formula I compounds for modulation of Janus kinase-Signal Transducer and Activator of Transcription (JAK-STAT) pathway in cancer cells, and the corresponding use of compound of Formula I as anti-cancer agents.

Compounds as modulator of JAK-STAT pathway, methods and applications thereof

Techniques for tenant performance isolation in a multiple-tenant database management system are described. These techniques may include providing a reservation of server resources. The server resources reservation may include a reservation of a central processing unit (CPU), a reservation of Input/Output throughput, and/or a reservation of buffer pool memory or working memory. The techniques may also include a metering mechanism that determines whether the resource reservation is satisfied. The metering mechanism may be independent of an actual resource allocation mechanism associated with the server resource reservation.

Various technologies described herein pertain to evaluating service provider compliance with terms of a performance service level agreement (SLA) for a tenant in a multi-tenant database system. The terms of the performance SLA can set a performance criterion as though a level of a resource of hardware of the multi-tenant database system is dedicated to the tenant. An actual performance metric of the resource can be tracked for a workload of the tenant. Further, a baseline performance metric of the resource can be determined for the workload of the tenant. The baseline performance metric can be based on a simulation as though the level of the resource as set in the performance SLA is dedicated to the workload of the tenant. Moreover, the actual performance metric can be compared with the baseline performance metric to evaluate compliance with the performance SLA.

Performance service level agreements in multi-tenant database systems

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Singapore, Singapore

Feng Li