A shared storage system that is optimized for post-production workflows that use NLEs such as Final Cut Pro X, DaVinci Resolve, Premiere and Avid is disclosed. Further, shared storage systems comprising workstations and shared storage systems, such as NAS devices, are disclosed that optimize workstation settings based on a database of optimal configuration settings to provide optimal bandwidth, minimal latency and stable performance for digital content creation/editing workflows that use file exchange between the workstation and the shared storage system. Novel methods and systems for storage systems are disclosed that configure and expose share drives in novel ways to facilitate video editing, audio editing and compositing.

A shared storage system that is optimized for post-production workflows that use NLEs such as Final Cut Pro X, DaVinci Resolve, Premiere and Avid is disclosed. Further, shared storage systems comprising workstations and shared storage systems, such as NAS devices, are disclosed that optimize workstation settings based on a database of optimal configuration settings to provide optimal bandwidth, minimal latency and stable performance for digital content creation/editing workflows that use file exchange between the workstation and the shared storage system. Novel methods and systems for storage systems are disclosed that configure and expose share drives in novel ways to facilitate video editing, audio editing and compositing.

A network control system for managing a plurality of switching elements that implement a plurality of logical datapath sets. The network control system includes first and second controllers for generating requests for modifications to first and second logical datapath sets. The first controller is further for determining whether to make modifications to the first logical datapath set. The second controller is further for determining whether to make modifications to the second logical datapath set. Each controller is further for receiving logical control plane data that specifies logical datapath sets and for converting the logical control plane data to physical control plane data for propagating to the switching elements.

A network control system for managing a plurality of switching elements that implement a plurality of logical datapath sets. The network control system includes first and second controllers for generating requests for modifications to first and second logical datapath sets. The first controller is further for determining whether to make modifications to the first logical datapath set. The second controller is further for determining whether to make modifications to the second logical datapath set. Each controller is further for receiving logical control plane data that specifies logical datapath sets and for converting the logical control plane data to physical control plane data for propagating to the switching elements.

Systems and methods are disclosed for managing workload among server clusters is disclosed. According to certain embodiments, the system may include a memory storing instructions and a processor. The processor may be configured to execute the instructions to determine historical behaviors of the server clusters in processing a workload. The processor may also be configured to execute the instructions to construct cost models for the server clusters based at least in part on the historical behaviors. The cost model is configured to predict a processor utilization demand of a workload. The processor may further be configured to execute the instructions to receive a workload and determine efficiencies of processing the workload by the server clusters based at least in part on at least one of the cost models or an execution plan of the workload.

Systems and methods are disclosed for managing workload among server clusters is disclosed. According to certain embodiments, the system may include a memory storing instructions and a processor. The processor may be configured to execute the instructions to determine historical behaviors of the server clusters in processing a workload. The processor may also be configured to execute the instructions to construct cost models for the server clusters based at least in part on the historical behaviors. The cost model is configured to predict a processor utilization demand of a workload. The processor may further be configured to execute the instructions to receive a workload and determine efficiencies of processing the workload by the server clusters based at least in part on at least one of the cost models or an execution plan of the workload.

Technologies are described for determining between synchronous and asynchronous modes for computing service requests. Computing service requests are received by a computing service from clients. The computing service dynamically determines whether to use synchronous mode or asynchronous mode for processing the computing service requests. The computing service makes the dynamic determination of which mode to use (synchronous or asynchronous) based on various criteria, which can include synchronous/asynchronous mode recommendations generated by machine learning models and/or synchronous/asynchronous mode recommendations generated by static rules.

A service chain accommodation device includes an influence coefficient calculation unit that calculates an influence coefficient indicating that an influence at the time of processing failure of a service chain is greater for a VNF located in a subsequent stage of a service chain and a VNF shared among a plurality of service chains, a residual resource calculation unit that corrects an amount of residual resources that can be accommodated for each of the VNFs through which the service chain passes, and an accommodation design unit that assigns a new service chain on the basis of the amount of the residual resources.

A service chain accommodation device includes an influence coefficient calculation unit that calculates an influence coefficient indicating that an influence at the time of processing failure of a service chain is greater for a VNF located in a subsequent stage of a service chain and a VNF shared among a plurality of service chains, a residual resource calculation unit that corrects an amount of residual resources that can be accommodated for each of the VNFs through which the service chain passes, and an accommodation design unit that assigns a new service chain on the basis of the amount of the residual resources.

Hybrid edge computing that includes a nimble framework that identifies services for available in a marketplace. The nimble framework defines a location for computing the services selected from the group consisting of a center server, an edge provision server and an edge node. The hybrid edge computing further includes a third party provider making are request for a service to the nimble framework. The hybrid edge computing further includes a virtualized service being provided by the nimble framework to the third party provider including a matched service to the third party provider request for the service, and an optimal location for computing.