Abstract: Methods, non-transitory computer readable media, and Industrial Internet-of-Things (IIoT) management apparatuses that generate event data based on an overall event comprising a plurality of dynamic multi-cloud events. Each of the events is associated with at least one of a plurality of types of IIoT resource devices or a plurality of IIoT participant devices. A current overall event hierarchy of the events is established, derived, or introduced based on one of a plurality of predefined hierarchies. A relationship between one or more socio environment and economic factors and each of the events is identified. One or more controls for each of the events are derived based on the identified relationship. Action plan data is generated for an execution in a multi-cloud environment based on the events, the derived controls, and a profiled participant role associated with one or more of the participant devices. The action plan data is distributed in the environment.

Abstract: The present disclosure relates to a method and system for performing dynamic orchestration of rules. The system monitors activities performed by entity in the big data environment to detect events. The events are associated with product/service. Further, the system determines scenario by analyzing data pertaining to the product or the service. The scenario comprises one or more scenario categories. Further, the scenario is correlated with the events based on the one or more scenario categories. The correlation is further validated by the system based on dimensions. Further, the system derives one or more rules for each of the correlation of the scenario and the events upon validation. The system may further apply an operational constraints and migration controls to the one or more rules to perform dynamic orchestration. Thus, the system provides one-stop solution for deriving the rules based on context of the scenarios and migrating them to target systems.

Abstract: A method for communication between one or more IoT sensor nodes associated with one or more IoT sensor devices, and one or more mobile edge computing (MEC) devices associated with one or more edge users is disclosed. The method comprises defining, by a mobile edge computing (MEC) server, one or more business verticals and one or more dimensions associated with each of the one or more business verticals. The method further comprises identifying, by the MEC server, one or more operating modes associated with the one or more IoT sensor nodes based on the one or more dimensions, wherein each of the one or more operating modes are associated with one or more communication channels. The method further comprises receiving, by the MEC server, information captured by the one or more IoT sensor nodes based on the one or more operating modes, via the associated one or more communication channels.

Abstract: This disclosure relates to a method of classification of heterogeneous clouds. The method includes identifying a plurality of clouds required to execute a plurality of service applications, wherein the plurality of clouds correspond to heterogeneous clouds. The method further includes defining an integration specification comprising at least one characteristic associated with integration of at least one service application from the plurality of service applications with the plurality of clouds. The method further includes analyzing the at least one characteristic of the integration specification to determine at least one logical binding feature between the at least one service application and the plurality of clouds. The method further includes classifying the plurality of clouds for the at least one service application based on the at least one logical binding feature.

Abstract: Methods, non-transitory computer readable media, and Industrial Internet-of-Things (IIoT) management apparatuses that generate event data based on an overall event comprising a plurality of dynamic multi-cloud events. Each of the events is associated with at least one of a plurality of types of IIoT resource devices or a plurality of IIoT participant devices. A current overall event hierarchy of the events is established, derived, or introduced based on one of a plurality of predefined hierarchies. A relationship between one or more socio environment and economic factors and each of the events is identified. One or more controls for each of the events are derived based on the identified relationship. Action plan data is generated for an execution in a multi-cloud environment based on the events, the derived controls, and a profiled participant role associated with one or more of the participant devices. The action plan data is distributed in the environment.

Abstract: A method for communication between one or more IoT sensor nodes associated with one or more IoT sensor devices, and one or more mobile edge computing (MEC) devices associated with one or more edge users is disclosed. The method comprises defining, by a mobile edge computing (MEC) server, one or more business verticals and one or more dimensions associated with each of the one or more business verticals. The method further comprises identifying, by the MEC server, one or more operating modes associated with the one or more IoT sensor nodes based on the one or more dimensions, wherein each of the one or more operating modes are associated with one or more communication channels. The method further comprises receiving, by the MEC server, information captured by the one or more IoT sensor nodes based on the one or more operating modes, via the associated one or more communication channels.

Abstract: The present disclosure relates to a method and system for performing dynamic orchestration of rules. The system monitors activities performed by entity in the big data environment to detect events. The events are associated with product/service. Further, the system determines scenario by analyzing data pertaining to the product or the service. The scenario comprises one or more scenario categories. Further, the scenario is correlated with the events based on the one or more scenario categories. The correlation is further validated by the system based on dimensions. Further, the system derives one or more rules for each of the correlation of the scenario and the events upon validation. The system may further apply an operational constraints and migration controls to the one or more rules to perform dynamic orchestration. Thus, the system provides one-stop solution for deriving the rules based on context of the scenarios and migrating them to target systems.

Abstract: The present disclosure provides method and system for automatic monitoring and control of compliance of one or more operations of smart city infrastructure in real-time. Compliance management system detects conflict initiated by compliance violation of one or more operations related to plurality of registered participants of smart city infrastructure. The compliance management system identifies policies associated with compliance of one or more operations and determines criticality of compliance of one or more operations based on one or more policies. The compliance management system determines relationship among compliance of one or more operations based on interdependencies among the operations. Further, the compliance management system generates action plan based on availability of one or more resources corresponding to compliance of one or more operations in real-time and relationship.