Abstract: Aspects herein are directed to an apparel item that promotes thermo-regulation through the use of engineered openings, venting, and/or stand-off structures. In exemplary aspects, 20-45% of the apparel item may comprise the engineered openings. Vents may be positioned on the apparel item in areas that experience high amounts of air flow to help channel air into the apparel item. The stand-off structures may be positioned on an inner-facing surface of the apparel item where they help to create a space between the apparel item and the wearer's body surface in which air can flow and help cool the wearer by promoting evaporative cooling.

Abstract: At an interface an analytic model for processing data is received. The analytic model is inspected to determine a language, an action, an input type, and an output type. A virtualized execution environment is generated for an analytic engine that includes executable code to implement the analytic model for processing an input data stream.

Abstract: At an interface an analytic model for processing data is received. The analytic model is inspected to determine a language, an action, an input type, and an output type. A virtualized execution environment is generated for an analytic engine that includes executable code to implement the analytic model for processing an input data stream.

Abstract: At an interface an analytic model for processing data is received. The analytic model is inspected to determine a language, an action, an input type, and an output type. A virtualized execution environment is generated for an analytic engine that includes executable code to implement the analytic model for processing an input data stream.

Abstract: A virtualized execution environment is generated for an analytic engine that includes executable code to implement an analytic model for processing an input data stream. At an interface a configuration for the analytic model is received. The virtualized execution environment is dynamically configured for the analytic engine at runtime based on the configuration for the analytic model.

Abstract: At an interface an analytic model for processing data is received. The analytic model is inspected to determine a language, an action, an input type, and an output type. A virtualized execution environment is generated for an analytic engine that includes executable code to implement the analytic model for processing an input data stream.

Abstract: At an interface a first analytic model for processing data and a second analytic model for processing data are received. A first virtualized execution environment is generated for a first analytic engine that includes executable code to implement the first analytic model for processing a first input data stream. A second virtualized execution environment is generated for a second analytic engine that includes executable code to implement the second analytic model for processing a second input data stream. The first virtualized execution environment for the first analytic engine and the second virtualized execution environment for the second analytic engine are deployed.

Abstract: At an interface an analytic model for processing data is received. The analytic model is inspected to determine a language, an action, an input type, and an output type. A virtualized execution environment is generated for an analytic engine that includes executable code to implement the analytic model for processing an input data stream.

Abstract: A virtualized execution environment is generated for an analytic engine that includes executable code to implement an analytic model for processing an input data stream. At an interface a configuration for the analytic model is received. The virtualized execution environment is dynamically configured for the analytic engine at runtime based on the configuration for the analytic model.

Abstract: At an interface an analytic model for processing data is received. The analytic model is inspected to determine a language, an action, an input type, and an output type. A virtualized execution environment is generated for an analytic engine that includes executable code to implement the analytic model for processing an input data stream.

Abstract: A virtualized execution environment is generated for an analytic engine that includes executable code to implement an analytic model for processing an input data stream. At an interface a configuration for the analytic model is received. The virtualized execution environment is dynamically configured for the analytic engine at runtime based on the configuration for the analytic model.

Abstract: At an interface an analytic model for processing data is received. The analytic model is inspected to determine a language, an action, an input type, and an output type. A virtualized execution environment is generated for an analytic engine that includes executable code to implement the analytic model for processing an input data stream.

Abstract: At an interface a first analytic model for processing data and a second analytic model for processing data are received. A first virtualized execution environment is generated for a first analytic engine that includes executable code to implement the first analytic model for processing a first input data stream. A second virtualized execution environment is generated for a second analytic engine that includes executable code to implement the second analytic model for processing a second input data stream. The first virtualized execution environment for the first analytic engine and the second virtualized execution environment for the second analytic engine are deployed.

Abstract: At an interface a first analytic model for processing data and a second analytic model for processing data are received. A first virtualized execution environment is generated for a first analytic engine that includes executable code to implement the first analytic model for processing a first input data stream. A second virtualized execution environment is generated for a second analytic engine that includes executable code to implement the second analytic model for processing a second input data stream. The first virtualized execution environment for the first analytic engine and the second virtualized execution environment for the second analytic engine are deployed.

Abstract: At an interface an analytic model for processing data is received. The analytic model is inspected to determine a language, an action, an input type, and an output type. A virtualized execution environment is generated for an analytic engine that includes executable code to implement the analytic model for processing an input data stream.

Abstract: At an interface a first analytic model for processing data and a second analytic model for processing data are received. A first virtualized execution environment is generated for a first analytic engine that includes executable code to implement the first analytic model for processing a first input data stream. A second virtualized execution environment is generated for a second analytic engine that includes executable code to implement the second analytic model for processing a second input data stream. The first virtualized execution environment for the first analytic engine and the second virtualized execution environment for the second analytic engine are deployed.

Abstract: A virtualized execution environment is generated for an analytic engine that includes executable code to implement an analytic model for processing an input data stream. At an interface a configuration for the analytic model is received. The virtualized execution environment is dynamically configured for the analytic engine at runtime based on the configuration for the analytic model.

Abstract: Storing data is disclosed. A range or addresses is received and the range of addresses is stored in a bulk object. Retrieving data is disclosed. A request to access data associated with an address within a range of addresses is received. A response is derived based at least in part on a bulk object.

Abstract: Writing data in a distributed database having a plurality of nodes is disclosed. Writing includes receiving a write request at a node, wherein the write request is associated with one or more operations to define an atomic transaction and performing the atomic transaction based on the request. The atomic transaction includes writing to a first version of the database in the node and writing to an entity representative of a state of the first version of the database.

Abstract: A technique for enforcing a database relationship is disclosed. The technique includes specifying within a database schema a reference type that associates two structures and specifies the relationship between the two structures, and automatically generating code that checks the relationship between the two structures based on the specified reference in the database schema.