Abstract: A distributed ecosystem including an analysis computing resource and a network is disclosed. The distributed ecosystem also includes at least one sensor for monitoring a characteristic of the distributed ecosystem, at least one localized computing resource in communication with the at least one sensor, and a gateway controller. The gateway controller is in communication with the at least one sensor, the at least one localized computing resource, and the analysis computing resource. The gateway control includes control logic for monitoring the at least one sensor for a data transmit function. The gateway controller also includes control logic for determining if the at least one localized computing resource has requisite resource capabilities for processing data generated by the at least one sensor in response to the data transmit function being transmitted by the at least one sensor.

Abstract: A dynamic network and a method for performing data analysis within a dynamic network. A query request generated by a root node in the dynamic network is propagated through other nodes in the dynamic network in a number of request messages. A number of response messages responding to the query request are received at the root node from the other nodes in the dynamic network. Data analysis is performed using data contained in the number of response messages as the number of response messages is received. A request index that keeps count of the number of request messages propagated through the dynamic network is updated using a tracking parameter in each of the number of response messages.

Abstract: A distributed ecosystem including an analysis computing resource and a network is disclosed. The distributed ecosystem also includes at least one sensor for monitoring a characteristic of the distributed ecosystem, at least one localized computing resource in communication with the at least one sensor, and a gateway controller. The gateway controller is in communication with the at least one sensor, the at least one localized computing resource, and the analysis computing resource. The gateway control includes control logic for monitoring the at least one sensor for a data transmit function. The gateway controller also includes control logic for determining if the at least one localized computing resource has requisite resource capabilities for processing data generated by the at least one sensor in response to the data transmit function being transmitted by the at least one sensor.

Abstract: Methods and systems for information state sharing and consistency maintenance in a distributed and decentralized network are presented. At a first node of a network, a first information state message (ISM) in a hypothesis phase is generated. The first ISM is propagated to at least one node of a spanning tree of the network, the spanning tree having a root at the first node. A verification opinion is received from the at least one node indicating if a state in the first ISM is verified by the at least one node. A consensus regarding the state in the first ISM is determined based on the verification opinion from the at least one node. A second ISM indicating a confirmed phase is propagated to the spanning tree if the consensus on the state of the ISM is reached.

Abstract: One or more systems, methods, routines and/or techniques for mission-driven autonomous and adaptive resource management, for example to achieve mission objectives in Quality of Service-managed networked systems, are described. One or more resource allocation algorithms and one or more associated control architectures including component services may be used. A system and/or method may collect input parameters, evaluate system workloads and performance metrics, optimize resource allocations, and adapt to changing workloads and performance metrics to achieve mission objectives. One or more objective functions, one or more constraints and one or more optimization algorithms may be utilized to achieve optimal allocation of resources to maximize the delivered value of an objective function and/or the system. The systems, methods, routines and/or techniques described herein may be autonomic and self-adaptive without requiring human administrators to pre-determine parameters (e.g.

Abstract: A design and implementation of open web architecture for cyber situational awareness is disclosed herein. The architecture is user-centric, web-based and service-oriented to increase the flexibility of user dashboard and utilization of third-party provided information and web services. A method disclosed herein includes accessing a gadget workbench including a workflow to be executed by a web gadget. The method also includes interacting a data source with the workflow, interacting an analysis module with the workflow, and interacting a visualization module with the workflow. The method further includes generating the web gadget based on the data source, the analysis module and the visualization module.

Abstract: A method for administering object-based multi-level security in a service oriented architecture includes: (a) defining a plurality of multi-level security attributes for each of selected respective life-cycle states of a plurality of life-cycle states of a service object; (b) receiving a request from a requestor for the service object; (c) determining permitted actions for the service object based upon at least one selected multi-level security attribute of the plurality of multi-level security attributes, and based upon at least one life-cycle state of the plurality of life-cycle states of the service object; and (d) generating a quality of service security contract based upon the determination of permitted actions.

Abstract: Method and apparatus including processes, mechanisms, and devices for use with a networked mission system. The method includes receiving a mission representation including a plurality of actions in a mission and temporal and functional associations between the actions, wherein the actions are to be executed using a plurality of computing nodes. A Time Petri Net (TPN) model of the mission is generated based on the mission representation. The TPN model represents the actions in the mission, temporal constraints for the actions, and functional associations between the actions. An importance value and an urgency value associated with each action are determined based on the TPN model. One or more QoS policies are generated based on the importance values and the urgency values of the actions, wherein the QoS policies are applied to the computing nodes.

Abstract: A security tool is disclosed for predicting a sequence of events based on the current events observed. The security tool relies on sequential event mining algorithms to discover the baseline event patterns, from which a prediction can be performed. The security tool translates the sequential patterns into a Dynamic Bayesian Network prediction model. A temporal reasoning engine then feeds the model with the current event status and predicts what events are likely to happen in next time window, and with what probability.

Abstract: A method, apparatus and computer program product are provided for constructing a diagnostic network model in a more efficient and timely manner and with improved consistency. A structured electronic representation of a document is automatically reviewed to identify the symptoms experienced by the complex system, the plurality of components of the complex system and the causal relationships between a failure of the respective components and the occurrence of the various symptoms. Respective probabilities can be associated with the causal relationships between the symptoms and the failure of the various components. A network model, such as a Bayesian network model, may then be automatically constructed to represent the symptoms, the components, the causal relationships between failure of the components and exhibition of the symptoms, and the probabilities of the respective causal relationships.

Abstract: The embodiments described herein describe a computerized system and method for retrieving and processing data to provide dependency and root cause information for a process. The computerized system and method include receiving historic data of the process, detecting temporal dependency or precedence tasks in the process from the historic data, generating a historic dependency graph, aggregating the historic dependency graph into a probabilistic precedence network (PPN), pruning the PPN, and presenting results to a user.

Abstract: A system and methods for modeling and analyzing Quality of Service (QoS) characteristics of federated cloud services in an open eco-system is disclosed. A plurality of system entities of a federated service system are identified, and each of the system entities is classified to provide a plurality of entity classifications. A plurality of inter-entity relationships of the system entities are identified, and each of the inter-entity relationships is classified as a primitive model to provide a plurality of inter-entity relationship classifications. A composite model of the federated service system comprising the system entities, the entity classifications, the inter-entity relationships, and the inter-entity relationship classifications is generated.

Abstract: A security tool is disclosed for predicting a sequence of events based on the current events observed. The security tool relies on sequential event mining algorithms to discover the baseline event patterns, from which a prediction can be performed. The security tool translates the sequential patterns into a Dynamic Bayesian Network prediction model. A temporal reasoning engine then feeds the model with the current event status and predicts what events are likely to happen in next time window, and with what probability.

Abstract: The embodiments described herein describe a computerized system and method for retrieving and processing data to provide dependency and root cause information for a process. The computerized system and method include receiving historic data of the process, detecting temporal dependency or precedence tasks in the process from the historic data, generating a historic dependency graph, aggregating the historic dependency graph into a probabilistic precedence network (PPN), pruning the PPN, and presenting results to a user.

Abstract: A method for administering object-based multi-level security in a service oriented architecture includes: (a) defining a plurality of multi-level security attributes for each of selected respective life-cycle states of a plurality of life-cycle states of a service object; (b) receiving a request from a requestor for the service object; (c) determining permitted actions for the service object based upon at least one selected multi-level security attribute of the plurality of multi-level security attributes, and based upon at least one life-cycle state of the plurality of life-cycle states of the service object; and (d) generating a quality of service security contract based upon the determination of permitted actions.

Abstract: Method and system of building a reasoning model using relational databases is provided. The method includes identifying data objects in relational databases; determining dependency relationships between the data objects; translating the data objects into nodes of a Bayesian network; and automatically translating the dependency relationships into a graphical structure of a Bayesian network. The system includes at least one server for storing data of a system having numerous interconnected parts; monitoring agents for monitoring the data of the numerous interconnected parts stored in the system; an events log for storing any event observed by the monitoring agents; and relational databases for storing data objects, the data objects correspond to the data of the numerous interconnected parts.

Abstract: A method, apparatus and computer program product are provided for constructing a diagnostic network model in a more efficient and timely manner and with improved consistency. A structured electronic representation of a document is automatically reviewed to identify the symptoms experienced by the complex system, the plurality of components of the complex system and the causal relationships between a failure of the respective components and the occurrence of the various symptoms. Respective probabilities can be associated with the causal relationships between the symptoms and the failure of the various components. A network model, such as a Bayesian network model, may then be automatically constructed to represent the symptoms, the components, the causal relationships between failure of the components and exhibition of the symptoms, and the probabilities of the respective causal relationships.