Abstract: Resource provider specifications, characterizing computing resources of computing resource providers, are received. The reachability of each IP address included in the received specification is determined. An agent is deployed that is operable to determine the value of each of a set of metrics in the environment of the host at which the agent is deployed. The agent determines the value of each metric of the set of metrics in the environment of the relevant host, and communicates the determined values to one or more computing devices that validate whether the resources characterized by the communicated values are sufficient to provide the performance characterized by the received specification and that each ISP router complies with a predetermined policy. For each computing resource provider validated and determined to comprise an ISP router compliant with policy, the specified computing resources are added to a pool of resources for cloud computing.

Abstract: One embodiment is a method including extending a policy server to provide per subscriber policies to a cable modem (CM) and a cable modem termination system (CMTS), receiving, at the policy server, a request for a policy profile from a cable modem termination system (CMTS), accessing a subscriber database to determine the policy profile, and communicating the policy profile to the CMTS. In an example, the policy server is a packet cable multimedia policy server of a cable network.

Abstract: A Centralized Self Organizing Network (C-SON) automation platform for managing a backhaul infrastructure in a telecommunication network. The C-SON automation platform monitors one or more backhaul utilization performance indicators corresponding to a backhaul infrastructure, which infrastructure transports data between one or more User Equipment (UE) connected to a small cell and a data network. The C-SON further receives subscriber data for at least one User Equipment (UE) and location data for the at least one UE from at least one Network Function (NF), and maps the at least one UE to a backhaul service flow and the small cell based on the subscriber data and the location data. The C-SON automation platform determines the backhaul utilization performance indicator exceeds a backhaul threshold limit for the backhaul service flow, and adjusts a bandwidth utilization of the backhaul infrastructure based on the backhaul utilization parameter exceeding the backhaul threshold limit.

Abstract: A crowd-sourced cloud environment allows for, and benefits from, modes of interaction between among the service providers (including the “resource providers” and the “cloud provider”) and consumers (also referred to herein as “tenants”) that are not practiced in a DC-centric cloud environment—specifically, the use of Internet-based social networking technology and Internet-based online marketplace technology to facilitate resource pooling and interaction between crowd-sourced cloud resource providers, the cloud provider, and crowd-sourced cloud consumers.

Abstract: Resource provider specifications, characterizing computing resources of computing resource providers, are received. The reachability of each IP address included in the received specification is determined. An agent is deployed that is operable to determine the value of each of a set of metrics in the environment of the host at which the agent is deployed. The agent determines the value of each metric of the set of metrics in the environment of the relevant host, and communicates the determined values to one or more computing devices that validate whether the resources characterized by the communicated values are sufficient to provide the performance characterized by the received specification and that each ISP router complies with a predetermined policy. For each computing resource provider validated and determined to comprise an ISP router compliant with policy, the specified computing resources are added to a pool of resources for cloud computing.

Abstract: Resource provider specifications, characterizing computing resources of computing resource providers, are received. The reachability of each IP address included in the received specification is determined. An agent is deployed that is operable to determine the value of each of a set of metrics in the environment of the host at which the agent is deployed. The agent determines the value of each metric of the set of metrics in the environment of the relevant host, and communicates the determined values to one or more computing devices that validate whether the resources characterized by the communicated values are sufficient to provide the performance characterized by the received specification and that each ISP router complies with a predetermined policy. For each computing resource provider validated and determined to comprise an ISP router compliant with policy, the specified computing resources are added to a pool of resources for cloud computing.

Abstract: A Centralized Self Organizing Network (C-SON) automation platform for managing a backhaul infrastructure in a telecommunication network. The C-SON automation platform monitors one or more backhaul utilization performance indicators corresponding to a backhaul infrastructure, which infrastructure transports data between one or more User Equipment (UE) connected to a small cell and a data network. The C-SON further receives subscriber data for at least one User Equipment (UE) and location data for the at least one UE from at least one Network Function (NF), and maps the at least one UE to a backhaul service flow and the small cell based on the subscriber data and the location data. The C-SON automation platform determines the backhaul utilization performance indicator exceeds a backhaul threshold limit for the backhaul service flow, and adjusts a bandwidth utilization of the backhaul infrastructure based on the backhaul utilization parameter exceeding the backhaul threshold limit.

Abstract: Temporal transaction locality in a stateless environment may be provided. First, a current message having an identifier may be received. Next, it may be determined, based on the identifier, that the current message is associated with a transaction. Then, in response to determining that the current message is associated with the transaction, the current message may be sent to a target service instance corresponding to the transaction.

Abstract: Predictive scheduling may be provided. First, a first device may identify when a service flow is expected to become active. The first device may estimate an initial traffic profile in response to identifying when the service flow is expected to become active. The first device may then grant allocation based on the initial traffic profile of the service flow. Next, the first device may collect feedback to later update the traffic profile estimate. The first device may then update the traffic profile estimate.

Abstract: Elastic capacity management of remote physical layer (R-PHY) nodes with a cloud Cable Modem Termination System (cCMTS) may be provided. First, a cCMTS instance may be spawned by an orchestrator. Next, the cCMTS instance may be synchronized with states of a physical Cable Modem Termination System (pCMTS). Underlay routing may then be configured between a plurality of remote physical layer (R-PHY) nodes and the cCMTS instance. Then a plurality of R-PHY node connections respectively corresponding to the plurality of R-PHY nodes may be switched from the pCMTS to the cCMTS instance.

Abstract: A virtual physical layer may be provided. When providing the virtual physical layer, a remote radio head may be used. The remote radio head may comprise a first interface device, a second interface device, a digital-to-analog converter, and an analog-to-digital converter. The first interface device may be connected to a virtual physical layer instance instantiated in a cloud-based environment. The second interface device may be connected to customer premises equipment. The digital-to-analog converter may be connected between the first interface device and the second interface device and the analog-to-digital converter may also be connected between the first interface device and the second interface device.

Abstract: An embodiment of a method includes determining a channel signature for each of a plurality of cable devices associated with a selected household; determining whether at least one of the channel signatures is substantially different than the remaining ones of the channel signatures; and if at least one of the channel signatures is substantially different than the remaining ones of the channel signatures, flagging the selected household for potential theft of services review. Additional embodiments may include determining a radio frequency (“RF”) signal power level for each of the cable devices; calculating a sum of the determined RF signal power levels; determining whether the calculated sum is equal to an RF power signal level measured at a tap of the selected household; and if the calculated sum is not equal to the measured RF power signal level, flagging the selected household for potential theft of services review.

Abstract: A crowd-sourced cloud environment allows for, and benefits from, modes of interaction between among the service providers (including the “resource providers” and the “cloud provider”) and consumers (also referred to herein as “tenants”) that are not practiced in a DC-centric cloud environment—specifically, the use of Internet-based social networking technology and Internet-based online marketplace technology to facilitate resource pooling and interaction between crowd-sourced cloud resource providers, the cloud provider, and crowd-sourced cloud consumers.

Abstract: A virtual physical layer may be provided. When providing the virtual physical layer, a remote radio head may be used. The remote radio head may comprise a first interface device, a second interface device, a digital-to-analog converter, and an analog-to-digital converter. The first interface device may be connected to a virtual physical layer instance instantiated in a cloud-based environment. The second interface device may be connected to customer premises equipment. The digital-to-analog converter may be connected between the first interface device and the second interface device and the analog-to-digital converter may also be connected between the first interface device and the second interface device.

Abstract: Temporal transaction locality in a stateless environment may be provided. First, a current message having an identifier may be received. Next, it may be determined, based on the identifier, that the current message is associated with a transaction. Then, in response to determining that the current message is associated with the transaction, the current message may be sent to a target service instance corresponding to the transaction.

Abstract: A crowd-sourced cloud environment allows for, and benefits from, modes of interaction between among the service providers (including the “resource providers” and the “cloud provider”) and consumers (also referred to herein as “tenants”) that are not practiced in a DC-centric cloud environment—specifically, the use of Internet-based social networking technology and Internet-based online marketplace technology to facilitate resource pooling and interaction between crowd-sourced cloud resource providers, the cloud provider, and crowd-sourced cloud consumers.

Abstract: Elastic capacity management of remote physical layer (R-PHY) nodes with a cloud Cable Modem Termination System (cCMTS) may be provided. First, a cCMTS instance may be spawned by an orchestrator. Next, the cCMTS instance may be synchronized with states of a physical Cable Modem Termination System (pCMTS). Underlay routing may then be configured between a plurality of remote physical layer (R-PHY) nodes and the cCMTS instance. Then a plurality of R-PHY node connections respectively corresponding to the plurality of R-PHY nodes may be switched from the pCMTS to the cCMTS instance.

Abstract: Predictive scheduling may be provided. First, a first device may identify when a service flow is expected to become active. The first device may estimate an initial traffic profile in response to identifying when the service flow is expected to become active. The first device may then grant allocation based on the initial traffic profile of the service flow. Next, the first device may collect feedback to later update the traffic profile estimate. The first device may then update the traffic profile estimate.

Abstract: An embodiment of a method includes determining a channel signature for each of a plurality of cable devices associated with a selected household; determining whether at least one of the channel signatures is substantially different than the remaining ones of the channel signatures; and if at least one of the channel signatures is substantially different than the remaining ones of the channel signatures, flagging the selected household for potential theft of services review. Additional embodiments may include determining a radio frequency (“RF”) signal power level for each of the cable devices; calculating a sum of the determined RF signal power levels; determining whether the calculated sum is equal to an RF power signal level measured at a tap of the selected household; and if the calculated sum is not equal to the measured RF power signal level, flagging the selected household for potential theft of services review.

Abstract: One embodiment is a method including extending a policy server to provide per subscriber policies to a cable modem (CM) and a cable modem termination system (CMTS), receiving, at the policy server, a request for a policy profile from a cable modem termination system (CMTS), accessing a subscriber database to determine the policy profile, and communicating the policy profile to the CMTS. In an example, the policy server is a packet cable multimedia policy server of a cable network.