公开(公告)号：US20200098552A1

公开(公告)日：2020-03-26

申请号：US16577279

申请日：2019-09-20

Applicant: WATERS TECHNOLOGIES IRELAND LIMITED

Inventor： Phillip Young ,  Matthew Wherry ,  Kendon S. Graham ,  Alexander Hooper ,  Christopher Carver

IPC: H01J49/00 ,  G01N30/86

Abstract: Techniques and apparatus for are described. In one embodiment, for example, an apparatus may include at least one memory, and logic coupled to the at least one memory. The logic may be configured to perform an analytical service on a primary analytical device, receive acceptance of the analytical service, and generate an analytical services package for the analytical service, the analytical services package configured to facilitate performance of the analytical service on a client analytical device. Other embodiments are described.

公开(公告)号：US20220239661A1

公开(公告)日：2022-07-28

申请号：US17580839

申请日：2022-01-21

Applicant: Waters Technologies Ireland Limited

Inventor： Christopher Carver

IPC: H04L9/40

Abstract: Exemplary embodiments provide techniques for creating or modifying a tenancy. The tenancy creation process may be divided into a plurality of independent stages, where each stage provisions services or resources in a cloud computing environment independent of provisioning others of the plurality of services or resources. If the current stage fails, the failure may be detected and programmatically corrected. For example, upon detecting that the first stage has failed, the system may retrieve a retry policy uniquely associated with the first stage and process the retry policy. The progress made by each of the independent stages may be logged, and the log may be used in connection with the retry policy. In some embodiments, relationships within an organization may be modeled by a graph database, which allows permissions to be more efficiently assigned than with other types of data structures.

公开(公告)号：US20230229531A1

公开(公告)日：2023-07-20

申请号：US18156045

申请日：2023-01-18

Applicant: Waters Technologies Ireland Limited

Inventor： Christopher Carver

IPC: G06F9/54

CPC classification number: G06F9/542

Abstract: Exemplary embodiments provides computer-implemented methods, mediums, and apparatuses that provide an architecture for supporting event notifications in an analytical chemistry system. The notifications architecture allows notifications to be sent within and outside the analytical chemistry system. It supports notifications provided by disparate devices and applications of the analytical chemistry system and allows the notifications to be sent on a variety of different delivery channels in a unified and consistent way. The architecture is easily extensible to support new types of notifications and new delivery channels. The architecture supports stateful notifications, allowing the read/unread status of the notifications to be displayed. Furthermore, the architecture can leverage existing events to generate notifications, which allows events to serve multiple purposes in the analytical chemistry system and therefore reducing the amount of messages and processing that needs to be done in the system.

公开(公告)号：US20230161743A1

公开(公告)日：2023-05-25

申请号：US18052305

申请日：2022-11-03

Applicant: Waters Technologies Ireland Limited

Inventor： Steven M. Cohn ,  Christopher Carver

IPC: G06F16/21 ,  G06F16/25 ,  G06F16/23 ,  G16C20/80

CPC classification number: G06F16/214 ,  G06F16/254 ,  G06F16/2393 ,  G16C20/80

Abstract: Exemplary embodiments provide computer-implemented methods, mediums, and apparatuses configured to upload data stored in a data storage ecosystem to a cloud-based storage service. A database in the data storage ecosystem may store results sets from an analytical chemistry system. The results sets may be stored in a first model structure implemented by a library structure. An uploader may incorporate the library structure and may include logic to use the library structure to transform the results sets from first model structure into a second model structure suitable for use in a relational data store in the cloud-based storage system. By implementing the library structure in the uploader, the uploader can be decoupled from the data storage ecosystem. This allows the uploader to function without some of the overhead used by the data ecosystem, provide faster data uploads, and to automatically generate derived information for the results sets.