Abstract: In one aspect, an example system implementing the disclosed techniques includes an optically readable label provided at a U position of a plurality of U positions in a data center rack, wherein the optically readable label encodes location identifying information. The system also includes an optical reader provided in an electronic device, the optical reader configured to sense and read the location identifying information encoded on the optically readable label in response to being mounted in the U position in the data center rack and initial power on of the electronic device.

Abstract: An architecture that can dynamically detect and/or automatically remedy service usage inequities in a communications network is provided. For example, based upon a comparison of incoming call detail records (CDRs) to various subscriber information entities (e.g., service plan, blacklisted devices for the service plan, historic or current billing cycle usage, etc.), the architecture can identify when a usage inequity occurs or is likely to occur, substantially in real time.

Abstract: An architecture that can dynamically detect and/or automatically remedy service usage inequities in a communications network is provided. For example, based upon a comparison of incoming call detail records (CDRs) to various subscriber information entities (e.g., service plan, blacklisted devices for the service plan, historic or current billing cycle usage, etc.), the architecture can identify when a usage inequity occurs or is likely to occur, substantially in real time.

Abstract: An architecture that can dynamically detect and/or automatically remedy service usage inequities in a communications network is provided. For example, based upon a comparison of incoming call detail records (CDRs) to various subscriber information entities (e.g., service plan, blacklisted devices for the service plan, historic or current billing cycle usage, etc.), the architecture can identify when a usage inequity occurs or is likely to occur, substantially in real time.

Abstract: An architecture that can dynamically detect and/or automatically remedy service usage inequities in a communications network is provided. For example, based upon a comparison of incoming call detail records (CDRs) to various subscriber information entities (e.g., service plan, blacklisted devices for the service plan, historic or current billing cycle usage, etc.), the architecture can identify when a usage inequity occurs or is likely to occur, substantially in real time.

Abstract: An architecture that can dynamically detect and/or automatically remedy service usage inequities in a communications network is provided. For example, based upon a comparison of incoming call detail records (CDRs) to various subscriber information entities (e.g., service plan, blacklisted devices for the service plan, historic or current billing cycle usage, etc.), the architecture can identify when a usage inequity occurs or is likely to occur, substantially in real time.

Abstract: An architecture that can dynamically detect and/or automatically remedy service usage inequities in a communications network is provided. For example, based upon a comparison of incoming call detail records (CDRs) to various subscriber information entities (e.g., service plan, blacklisted devices for the service plan, historic or current billing cycle usage, etc.), the architecture can identify when a usage inequity occurs or is likely to occur, substantially in real time.

Abstract: The described subject matter relates to an architecture that can dynamically detect and/or automatically remedy service usage inequities in a communications network. In particular, based upon a comparison of incoming call detail records (CDRs) to various subscriber information (e.g., service plan, blacklisted devices for the service plan, historic or current billing cycle usage, etc.), the architecture can identify when a usage inequity occurs or is likely to occur, substantially in real time.

Abstract: The described subject matter relates to an architecture that can dynamically detect and/or automatically remedy service usage inequities in a communications network. In particular, based upon a comparison of incoming call detail records (CDRs) to various subscriber information (e.g., service plan, blacklisted devices for the service plan, historic or current billing cycle usage, etc.), the architecture can identify when a usage inequity occurs or is likely to occur, substantially in real time.