Abstract: Systems and methods may provide for receiving web content and determining a trust level associated with the web content. Additionally, the web content may be mapped to an execution environment based at least in part on the trust level. In one example, the web content is stored to a trust level specific data container.

Abstract: Systems and methods may provide for receiving web content and determining a trust level associated with the web content. Additionally, the web content may be mapped to an execution environment based at least in part on the trust level. In one example, the web content is stored to a trust level specific data container.

Abstract: The technology described herein includes receiving a global demand to process a workflow; determining if one or more virtual resources are available to process the workflow; in response to the one or more virtual resources being available to process the workflow, determining if the one or more virtual resources have available timeslots for a class of service of the workflow; and in response to the one or more virtual resources having available timeslots for the class of service of the workflow, selecting a starting timeslot and scheduling the workflow on a selected one or more of the one or more virtual resources, accepting the workflow, and sending one or more local demands corresponding to the workflow to one or more local resource managers managing the selected one or more of the one or more virtual resources.

Abstract: Technologies for establishing and utilizing a decentralized cloud infrastructure using a plurality of mobile computing devices include broadcasting for the formation of the decentralized cloud computing and storage infrastructure and establishing wireless communications between the plurality of mobile computing devices. The plurality of mobile computing devices self-organize and cooperate with one another to establish a structured decentralized cloud infrastructure to expose and sharing resources, services, and/or applications for ad hoc or socially-driven decentralized, cloud computing purposes.

Abstract: Technologies for establishing and utilizing a decentralized cloud infrastructure using a plurality of mobile computing devices include broadcasting for the formation of the decentralized cloud computing and storage infrastructure and establishing wireless communications between the plurality of mobile computing devices. The plurality of mobile computing devices self-organize and cooperate with one another to establish a structured decentralized cloud infrastructure to expose and sharing resources, services, and/or applications for ad hoc or socially-driven decentralized, cloud computing purposes.

Abstract: Systems and methods may provide for receiving web content and determining a trust level associated with the web content. Additionally, the web content may be mapped to an execution environment based at least in part on the trust level. In one example, the web content is stored to a trust level specific data container.

Abstract: Technologies for establishing and utilizing a decentralized cloud infrastructure using a plurality of mobile computing devices include broadcasting for the formation of the decentralized cloud computing and storage infrastructure and establishing wireless communications between the plurality of mobile computing devices. The plurality of mobile computing devices self-organize and cooperate with one another to establish a structured decentralized cloud infrastructure to expose and sharing resources, services, and/or applications for ad hoc or socially-driven decentralized, cloud computing purposes.

Abstract: Technologies for monitoring data storage location for cloud data include a cloud monitoring server configured to communicate with one or more cloud customer computing devices and cloud service providers. The cloud monitoring server receives monitoring requests from the cloud customer computing devices and retrieves provider information from the cloud service providers. The cloud monitoring server compiles response data based on the monitoring requests and the provider information, and sends response data to the cloud customer computing devices. Cloud customer computing devices may send on-demand monitoring requests and/or continuous, policy-based monitoring requests. For policy-based monitoring, the cloud monitoring server continually monitors the provider information and provides response data when one or more conditions specified in the policy are satisfied. The cloud monitoring server may also make recommendations and provide feedback based on the monitoring requests or the provider information.

Abstract: Systems and methods may provide for receiving web content and determining a trust level associated with the web content. Additionally, the web content may be mapped to an execution environment based at least in part on the trust level. In one example, the web content is stored to a trust level specific data container.

Abstract: Systems and methods may provide for receiving web content and determining a trust level associated with the web content. Additionally, the web content may be mapped to an execution environment based at least in part on the trust level. In one example, the web content is stored to a trust level specific data container.

Abstract: Technologies for monitoring data storage location for cloud data include a cloud monitoring server configured to communicate with one or more cloud customer computing devices and cloud service providers. The cloud monitoring server receives monitoring requests from the cloud customer computing devices and retrieves provider information from the cloud service providers. The cloud monitoring server compiles response data based on the monitoring requests and the provider information, and sends response data to the cloud customer computing devices. Cloud customer computing devices may send on-demand monitoring requests and/or continuous, policy-based monitoring requests. For policy-based monitoring, the cloud monitoring server continually monitors the provider information and provides response data when one or more conditions specified in the policy are satisfied. The cloud monitoring server may also make recommendations and provide feedback based on the monitoring requests or the provider information.

Abstract: Apparatuses, methods, and computer-readable media for a context-based access mediator (“CAM”) are described. The CAM may be configured to mediate access to computer-accessible resources by a user using a computing device after receiving a request from the computing device for the computing device to access a computer-accessible resource. The computer-accessible resource may be local or remote to the computing device. The CAM may be configured to receive the request and to mediate access to the requested resource. Such mediation may be performed through the CAM determining whether the resource may be accessed by the computing device and/or through the CAM determining which resources are available to the be accessed by the computing device. The CAM may be configured to mediate access to computer-accessible resources based on information about a context for the computing device and/or computer-accessible resource. Other embodiments are described and claimed.

Abstract: Technologies for remote device authentication include a client computing device, an identity provider, and an application server in communication over a network. The identity provider sends an authentication challenge to the client. A capability proxy of the client intercepts an authentication challenge response and retrieves one or more security assertions from a secure environment of the client computing device. The capability proxy may be an embedded web server providing an HTTP interface to platform features of the client. The client sends a resource access token based on the security assertions to the identity provider. The identity provider verifies the resource access token and authenticates the client computing device based on the resource access token in addition to user authentication factors such as username and password. The identity provider sends an authentication response to the client, which forwards the authentication response to the application server.

Abstract: Systems and methods may provide for receiving web content and determining a trust level associated with the web content. Additionally, the web content may be mapped to an execution environment based at least in part on the trust level. In one example, the web content is stored to a trust level specific data container.

Abstract: Systems and methods may provide for receiving web content and determining a trust level associated with the web content. Additionally, the web content may be mapped to an execution environment based at least in part on the trust level. In one example, the web content is stored to a trust level specific data container.

Abstract: Technologies for establishing and utilizing a decentralized cloud infrastructure using a plurality of mobile computing devices include broadcasting for the formation of the decentralized cloud computing and storage infrastructure and establishing wireless communications between the plurality of mobile computing devices. The plurality of mobile computing devices self-organize and cooperate with one another to establish a structured decentralized cloud infrastructure to expose and sharing resources, services, and/or applications for ad hoc or socially-driven decentralized, cloud computing purposes.

Abstract: Systems and methods may provide for receiving web content and determining a trust level associated with the web content. Additionally, the web content may be mapped to an execution environment based at least in part on the trust level. In one example, the web content is stored to a trust level specific data container.

Abstract: Systems and methods may provide for receiving web content and determining a trust level associated with the web content. Additionally, the web content may be mapped to an execution environment based at least in part on the trust level. In one example, the web content is stored to a trust level specific data container.

Abstract: This disclosure is directed to a context-aware proactive threat management system. In general, a device may use internal activity data along with data about external activities (e.g., provided by remote resources) for threat assessment and mitigation. A device may comprise, for example, a hostile environment detection (HED) module to coordinate threat assessment and mitigation. The HED module may accumulate internal activity data (e.g., from security services in the device), and external activity data regarding a system environment and/or a physical environment from the remote resources. The HED module may then assess threats based on the activity data and determine automated and/or manual mitigation operations to respond to the threats. In one embodiment, visualization features may also be used to, for example, visualize threats to a user, visualize automatic/manual mitigation operations, request user confirmation regarding the performance of manual mitigation operations, etc.

Abstract: Systems and methods may provide for receiving web content and determining a trust level associated with the web content. Additionally, the web content may be mapped to an execution environment based at least in part on the trust level. In one example, the web content is stored to a trust level specific data container.