Abstract: Techniques for dynamically load balancing traffic based on predicted and actual load capacities of data nodes are described herein. The techniques may include determining a predicted capacity of a data node of a network during a period of time. The data node may be associated with a first traffic class. The techniques may also include determining an actual capacity of the data node during the period of time, as well as determining that a difference between the actual capacity and the predicted capacity is greater than a threshold difference. Based at least in part on the difference, a number of data flows sent to the data node may be either increased or decreased. Additionally, or alternatively, a data flow associated with a second traffic class may be redirected to the data node during the period of time to be handled according to the first traffic class.

Abstract: Techniques for dynamically load balancing traffic based on predicted and actual load capacities of data nodes are described herein. The techniques may include determining a predicted capacity of a data node of a network during a period of time. The data node may be associated with a first traffic class. The techniques may also include determining an actual capacity of the data node during the period of time, as well as determining that a difference between the actual capacity and the predicted capacity is greater than a threshold difference. Based at least in part on the difference, a number of data flows sent to the data node may be either increased or decreased. Additionally, or alternatively, a data flow associated with a second traffic class may be redirected to the data node during the period of time to be handled according to the first traffic class.

Abstract: Techniques for integrating disparate headend traffic ingress services with disparate backend services are disclosed herein. The techniques may include receiving, at a classification and forwarding node of a networked computing environment, a data packet encapsulated according to a first encapsulation protocol that is supported by the classification and forwarding node. The techniques may also include determining, by the classification and forwarding node, that the data packet is to be sent to a service from among a group of services associated with the networked computing environment. The classification and forwarding node may also determine whether the first encapsulation protocol is supported by the service. Based at least in part on determining that the service supports a second encapsulation protocol different than the first encapsulation protocol, the classification and forwarding node may encapsulate the data packet according to the second encapsulation protocol and send the data packet to the service.

Abstract: Techniques for dynamically load balancing traffic based on predicted and actual load capacities of data nodes are described herein. The techniques may include determining a predicted capacity of a data node of a network during a period of time. The data node may be associated with a first traffic class. The techniques may also include determining an actual capacity of the data node during the period of time, as well as determining that a difference between the actual capacity and the predicted capacity is greater than a threshold difference. Based at least in part on the difference, a number of data flows sent to the data node may be either increased or decreased. Additionally, or alternatively, a data flow associated with a second traffic class may be redirected to the data node during the period of time to be handled according to the first traffic class.

Abstract: Techniques for load balancing encrypted traffic based on security parameter index (SPI) values of packet headers and sets of 5-tuple values of the packet headers are described herein. Additionally, techniques for including quality of service (QoS)-type information in SPI value fields of packet headers are also described herein. The QoS-type information may indicate a particular traffic class according to which the packet is to be handled. Further, techniques for pre-configuring a backend host such that encrypted traffic may be migrated to the backend host from another backend host without causing temporary service disruptions are also described herein.

Abstract: Techniques for dynamically load balancing traffic based on predicted and actual load capacities of data nodes are described herein. The techniques may include determining a predicted capacity of a data node of a network during a period of time. The data node may be associated with a first traffic class. The techniques may also include determining an actual capacity of the data node during the period of time, as well as determining that a difference between the actual capacity and the predicted capacity is greater than a threshold difference. Based at least in part on the difference, a number of data flows sent to the data node may be either increased or decreased. Additionally, or alternatively, a data flow associated with a second traffic class may be redirected to the data node during the period of time to be handled according to the first traffic class.

Abstract: Techniques for dynamically load balancing traffic based on predicted and actual load capacities of data nodes are described herein. The techniques may include determining a predicted capacity of a data node of a network during a period of time. The data node may be associated with a first traffic class. The techniques may also include determining an actual capacity of the data node during the period of time, as well as determining that a difference between the actual capacity and the predicted capacity is greater than a threshold difference. Based at least in part on the difference, a number of data flows sent to the data node may be either increased or decreased. Additionally, or alternatively, a data flow associated with a second traffic class may be redirected to the data node during the period of time to be handled according to the first traffic class.

Abstract: Techniques for integrating disparate headend traffic ingress services with disparate backend services are disclosed herein. The techniques may include receiving, at a classification and forwarding node of a networked computing environment, a data packet encapsulated according to a first encapsulation protocol that is supported by the classification and forwarding node. The techniques may also include determining, by the classification and forwarding node, that the data packet is to be sent to a service from among a group of services associated with the networked computing environment. The classification and forwarding node may also determine whether the first encapsulation protocol is supported by the service. Based at least in part on determining that the service supports a second encapsulation protocol different than the first encapsulation protocol, the classification and forwarding node may encapsulate the data packet according to the second encapsulation protocol and send the data packet to the service.

Abstract: Techniques for load balancing encrypted traffic based on security parameter index (SPI) values of packet headers and sets of 5-tuple values of the packet headers are described herein. Additionally, techniques for including quality of service (QoS)-type information in SPI value fields of packet headers are also described herein. The QoS-type information may indicate a particular traffic class according to which the packet is to be handled. Further, techniques for pre-configuring a backend host such that encrypted traffic may be migrated to the backend host from another backend host without causing temporary service disruptions are also described herein.

Abstract: Techniques for load balancing encrypted traffic based on security parameter index (SPI) values of packet headers and sets of 5-tuple values of the packet headers are described herein. Additionally, techniques for including quality of service (QoS)-type information in SPI value fields of packet headers are also described herein. The QoS-type information may indicate a particular traffic class according to which the packet is to be handled. Further, techniques for pre-configuring a backend host such that encrypted traffic may be migrated to the backend host from another backend host without causing temporary service disruptions are also described herein.

Abstract: Techniques for load balancing encrypted traffic based on security parameter index (SPI) values of packet headers and sets of 5-tuple values of the packet headers are described herein. Additionally, techniques for including quality of service (QoS)-type information in SPI value fields of packet headers are also described herein. The QoS-type information may indicate a particular traffic class according to which the packet is to be handled. Further, techniques for pre-configuring a backend host such that encrypted traffic may be migrated to the backend host from another backend host without causing temporary service disruptions are also described herein.

Abstract: An HVAC system includes a grid of intersecting ducts having one or more inlets, outlets, and intersections. Air may be received into the inlets and directed through the outlets into one or more zones of a building. One or more HVAC units may be connected to the inlets and mechanical valves may be located at the intersections to control the air flow through the grid. A control system may be provided to control the temperature of each zone by adjusting the mechanical valves (and/or turning selected HVAC units “on” or “off”). In certain embodiments, the HVAC system includes at least one reading device to read temperature preference information associated with an occupant of a zone. The control system may then align the temperature of the zone with the temperature preference information when the occupant is inside the zone. A corresponding method and apparatus are also disclosed herein.