Abstract: Systems and methods for dynamic scaling of RE middleboxes in a communication network are described. According to the present subject matter, the method comprises determining a load of incoming data at an encoding middlebox in the communication network. Further, the method comprises modifying a number of encoder instances in the encoding middlebox and a number of decoder instances in a decoding middlebox based on the load of incoming data.

Abstract: Methods and systems for flow migration between virtual network appliances in a cloud computing network are described. A network appliances managing architecture for migrating flow between VNAs including a controller to receive performance data for a VNA and analyze the performance data to determine whether the VNA has a weak performance status, where the weak performance status corresponds to any one of an overloaded, an under-loaded, and a failed status. The network appliances managing architecture further includes a classifier to receive a flow migration request from the controller for migrating one or more flows of data packets from the VNA based on the analyzing. The classifier further identifies an active VNA for flow migration based on a mapping policy and migrates the one or more flows from the VNA to the at least one active VNA.

Abstract: A capability is provided for scaling Redundancy Elimination (RE) middleboxes. The RE middleboxes include an RE encoding middlebox and an RE decoding middlebox. The RE middleboxes may employ max-match-based RE techniques or chunk-match-based RE techniques. The RE middleboxes may utilize Distributed Hash Tables (DHTs) to maintain content stores, respectively. The RE middleboxes may be scaled for use with cloud applications (e.g., for use in transfer of data between a customer network and a cloud side, for use in transfer of data between two cloud sites, or the like).

Abstract: Methods and systems for flow migration between virtual network appliances in a cloud computing network are described. A network appliances managing architecture for migrating flow between VNAs including a controller to receive performance data for a VNA and analyze the performance data to determine whether the VNA has a weak performance status, where the weak performance status corresponds to any one of an overloaded, an under-loaded, and a failed status. The network appliances managing architecture further includes a classifier to receive a flow migration request from the controller for migrating one or more flows of data packets from the VNA based on the analyzing. The classifier further identifies an active VNA for flow migration based on a mapping policy and migrates the one or more flows from the VNA to the at least one active VNA.

Abstract: Systems and methods for dynamic scaling of RE middleboxes in a communication network are described. According to the present subject matter, the method comprises determining a load of incoming data at an encoding middlebox in the communication network. Further, the method comprises modifying a number of encoder instances in the encoding middlebox and a number of decoder instances in a decoding middlebox based on the load of incoming data.

Abstract: A capability is provided for scaling Redundancy Elimination (RE) middleboxes. The RE middleboxes include an RE encoding middlebox and an RE decoding middlebox. The RE middleboxes may employ max-match-based RE techniques or chunk-match-based RE techniques. The RE middleboxes may utilize Distributed Hash Tables (DHTs) to maintain content stores, respectively. The RE middleboxes may be scaled for use with cloud applications (e.g., for use in transfer of data between a customer network and a cloud side, for use in transfer of data between two cloud sites, or the like).

Abstract: A capability is provided for scaling Redundancy Elimination (RE) middleboxes. The RE middleboxes include an RE encoding middlebox and an RE decoding middlebox. The RE middleboxes may employ max-match-based RE techniques or chunk-match-based RE techniques. The RE middleboxes may utilize Distributed Hash Tables (DHTs) to maintain content stores, respectively. The RE middleboxes may be scaled for use with cloud applications (e.g., for use in transfer of data between a customer network and a cloud side, for use in transfer of data between two cloud sites, or the like).

Abstract: Various embodiments provide a method and apparatus for dynamically allocating resources to processes by using unified resources. In particular, a superVM allows a process from an application to utilize resources (e.g., CPU, memory, and storage) from other VMs. Advantageously, sharing resources of of VMs that are operating below capacity increases cost efficiencies and providing resources without the overhead of spawning new VMs to VMs requiring additional resources increases application performance. Moreover, legacy applications may run utilize resources from multiple VMs without modification.

Abstract: A capability is provided for scaling Redundancy Elimination (RE) middleboxes. The RE middleboxes include an RE encoding middlebox and an RE decoding middlebox. The RE middleboxes may employ max-match-based RE techniques or chunk-match-based RE techniques. The RE middleboxes may utilize Distributed Hash Tables (DHTs) to maintain content stores, respectively. The RE middleboxes may be scaled for use with cloud applications (e.g., for use in transfer of data between a customer network and a cloud side, for use in transfer of data between two cloud sites, or the like).