Abstract: Devices and techniques for Information Centric Network (ICN) packet transmission control are described herein. An interest (or data) packet may be received at an ICN router. Here, the packet includes quality of service (QoS) information. For an interest packet, the ICN router creates a pending interest table (PIT) entry for the packet. The ICN router determines that it does not have a route for the packet. Thus, if it is an interest packet, there is no forward route in a forwarding information base (FIB). If it is a data packet, there is no corresponding PIT entry. However, after extracting the QoS information from the packet, the ICN router broadcasts the packet in accordance with the QoS information.

Abstract: Devices and techniques for Information Centric Network (ICN) packet transmission control are described herein. An interest (or data) packet may be received at an ICN router. Here, the packet includes quality of service (QoS) information. For an interest packet, the ICN router creates a pending interest table (PIT) entry for the packet. The ICN router determines that it does not have a route for the packet. Thus, if it is an interest packet, there is no forward route in a forwarding information base (FIB). If it is a data packet, there is no corresponding PIT entry. However, after extracting the QoS information from the packet, the ICN router broadcasts the packet in accordance with the QoS information.

Abstract: Devices and techniques for estimating power consumption and efficiency of application containers configured to run on a server system, such as a cloud server, are provided. In an example, a method can include creating a benchmark application container, naming the benchmark application container on a host server, collecting power consumption information of the host server, collecting resource utilization information of the benchmark application container using an artificial workload, building a statistical model using the power consumption information and the resource utilization information, and generating a first power model of the host server.

Abstract: Devices and techniques for estimating power consumption and efficiency of application containers configured to run on a server system, such as a cloud server, are provided. In an example, a method can include creating a benchmark application container, naming the benchmark application container on a host server, collecting power consumption information of the host server, collecting resource utilization information of the benchmark application container using an artificial workload, building a statistical model using the power consumption information and the resource utilization information, and generating a first power model of the host server.

Abstract: Devices and techniques for estimating power consumption and efficiency of application containers configured to run on a server system, such as a cloud server, are provided. In an example, a method can include creating a benchmark application container, naming the benchmark application container on a host server, collecting power consumption information of the host server, collecting resource utilization information of the benchmark application container using an artificial workload, building a statistical model using the power consumption information and the resource utilization information, and generating a first power model of the host server.