Abstract: The present disclosure relates to a data verification method, a system, and an edge device, and relates to the field of computer technology. The data verification method includes receiving, by an edge device, cloud data issued by a cloud device and terminal data collected by a terminal device; verifying, by the edge device, the cloud data and the terminal data based on business process logic; and sending, by the edge device, a result of the verifying to at least one of the cloud device or the terminal device.

Abstract: The present disclosure relates to a data verification method, a system, and an edge device, and relates to the field of computer technology. The data verification method includes receiving, by an edge device, cloud data issued by a cloud device and terminal data collected by a terminal device; verifying, by the edge device, the cloud data and the terminal data based on business process logic; and sending, by the edge device, a result of the verifying to at least one of the cloud device or the terminal device.

Abstract: A method for preparing an L-erythrobiopterin compound is provided. The L-erythrobiopterin compound has a structure represented by formula (I), and is mainly prepared from a compound having a structure represented by formula (II) or (III) through dihydroxylation. The preparation method of the L-erythrobiopterin compound is high in production efficiency, low in cost, environmentally friendly, and suitable for industrial production.

Abstract: The present invention provides a method for preparing a pyrrolopyrimidine compound and application thereof. Specifically, the present invention provides a compound represented by formula I or pharmaceutically-acceptable salts thereof, a pharmaceutical composition containing the compound or its salts, and a method for preparing the pharmaceutical composition and an application of the pharmaceutical composition as an immunosuppressive drug.

Abstract: A method for preparing an L-erythrobiopterin compound is provided. The L-erythrobiopterin compound has a structure represented by formula (I), and is mainly prepared from a compound having a structure represented by formula (II) or (III) through dihydroxylation. The preparation method of the L-erythrobiopterin compound is high in production efficiency, low in cost, environmentally friendly, and suitable for industrial production.

Abstract: The present invention provides a method for preparing a pyrrolopyrimidine compound and application thereof. Specifically, the present invention provides a compound represented by formula I or pharmaceutically-acceptable salts thereof, a pharmaceutical composition containing the compound or its salts, and a method for preparing the pharmaceutical composition and an application of the pharmaceutical composition as an immunosuppressive drug.

Abstract: A failure recovery framework to be used in cooperative data stream processing is provided that can be used in a large-scale stream data analysis environment. Failure recovery supports a plurality of independent distributed sites, each having its own local administration and goals. The distributed sites cooperate in an inter-site back-up mechanism to provide for system recovery from a variety of failures within the system. Failure recovery is both automatic and timely through cooperation among sites. Back-up sites associated with a given primary site are identified. These sites are used to identify failures within the primary site including failures of applications running on the nodes of the primary site. The failed applications are reinstated on one or more nodes within the back-up sites using job management instances local to the back-up sites in combination with previously stored state information and data values for the failed applications.

Abstract: A failure recovery framework to be used in cooperative data stream processing is provided that can be used in a large-scale stream data analysis environment. Failure recovery supports a plurality of independent distributed sites, each having its own local administration and goals. The distributed sites cooperate in an inter-site back-up mechanism to provide for system recovery from a variety of failures within the system. Failure recovery is both automatic and timely through cooperation among sites. Back-up sites associated with a given primary site are identified. These sites are used to identify failures within the primary site including failures of applications running on the nodes of the primary site. The failed applications are reinstated on one or more nodes within the back-up sites using job management instances local to the back-up sites in combination with previously stored state information and data values for the failed applications.

Abstract: A failure recovery framework to be used in cooperative data stream processing is provided that can be used in a large-scale stream data analysis environment. Failure recovery supports a plurality of independent distributed sites, each having its own local administration and goals. The distributed sites cooperate in an inter-site back-up mechanism to provide for system recovery from a variety of failures within the system. Failure recovery is both automatic and timely through cooperation among sites. Back-up sites associated with a given primary site are identified. These sites are used to identify failures within the primary site including failures of applications running on the nodes of the primary site. The failed applications are reinstated on one or more nodes within the back-up sites using job management instances local to the back-up sites in combination with previously stored state information and data values for the failed applications.

Abstract: A failure recovery framework to be used in cooperative data stream processing is provided that can be used in a large-scale stream data analysis environment. Failure recovery supports a plurality of independent distributed sites, each having its own local administration and goals. The distributed sites cooperate in an inter-site back-up mechanism to provide for system recovery from a variety of failures within the system. Failure recovery is both automatic and timely through cooperation among sites. Back-up sites associated with a given primary site are identified. These sites are used to identify failures within the primary site including failures of applications running on the nodes of the primary site. The failed applications are reinstated on one or more nodes within the back-up sites using job management instances local to the back-up sites in combination with previously stored state information and data values for the failed applications.