Cloud Computing Burst Management Systems And Methods

Abstract

An example cloud computing burst management system includes a first cloud computing resource including a first processor and a first memory, a second cloud computing resource including a second processor and a second memory, and one or more data networks connecting the first cloud computing resource and the second cloud computing resource. The first cloud computing resource is configured to perform at least one cloud computing task, and to monitor one or more leading indicator parameters associated with operation of the first cloud computing resource while performing the at least one cloud computing task. In response to the one or more leading indicator parameters satisfying a first burst criteria, the first cloud computing resource is configured to provision a task instance on the second cloud computing resource for performing at least one portion of the cloud computing task.

What is claimed is: 
     
         1 . A digital studio cloud computing provisioning system comprising:
 a plurality of sensors associated with at least one rendering device;   at least one non-transitory computer readable memory storing software instructions; and   at least one processor coupled with the plurality of sensors and with the non-transitory computer readable memory, the at least one processor configured to perform the following operations upon execution of the software instructions:
 provisioning a first set of cloud computing resources associated with at least one rendering task on the at least one rendering device, wherein the first set of could computing resources is associated with a burst criteria; 
 monitoring at least one leading indicator relating to the first set of cloud computing resources, the at least one leading indicator derived at least in part from data from the plurality of sensors; 
 determining a number of additional resources for the at least one rendering task based on the plurality of sensors; and 
 upon satisfaction of the burst criteria by the at least one leading indicator, provisioning a second set of cloud computing resources for at least the number of additional resources for the at least one rendering task for the at least one rendering device. 
   
     
     
         2 . The system of  claim 1 , wherein the second set of could computing resource comprises a rendering image resource. 
     
     
         3 . The system of  claim 2 , wherein the rendering image resource comprises at least one graphics processing unit (GPU). 
     
     
         4 . The system of  claim 1 , wherein the at least one leading indicator includes at least a graphics processing unit (GPU) processing metric. 
     
     
         5 . The system of  claim 1 , wherein the at least one leading indicator includes at least one of a processor metric, a storage metric, a bandwidth metric, or a latency metric. 
     
     
         6 . The system of  claim 1 , wherein the at least one rendering device comprises a wall display. 
     
     
         7 . The system of  claim 6 , wherein the wall display comprises light emitting diodes (LEDs). 
     
     
         8 . The system of  claim 1 , wherein the at least one rendering task comprises a pre-rendering task. 
     
     
         9 . The system of  claim 1 , wherein the at least one rendering task is associated with augmented reality. 
     
     
         10 . The system of  claim 1 , wherein the at least one rendering task comprises a gaming application task. 
     
     
         11 . The system of  claim 1 , wherein the at least one rendering task comprises a simulation task. 
     
     
         12 . The system of  claim 1 , wherein the at least one leading indicator is a member of a baseline vector. 
     
     
         13 . The system of  claim 12 , wherein the burst criteria comprises an anomaly detection criteria defined based at least on the baseline vector and at least in part on the at least one leading indicator. 
     
     
         14 . The system of  claim 1 , wherein the at least one leading indicator represents a rate of change over time detected from the plurality of sensors. 
     
     
         15 . The system of  claim 14 , wherein the rate of change over time comprises at least one of a first order derivative, a second order derivative, a third order derivative, or a forth order derivative. 
     
     
         16 . The system of  claim 1 , wherein the operations further include recording provisioning the second set of cloud computing resources on a notarized ledger as a burst activity. 
     
     
         17 . The system of  claim 16 , wherein the operations further include billing for the second set of cloud computing resources based on the burst activity recorded on the notarized ledger. 
     
     
         18 . The system of  claim 1 , wherein the monitoring the at least one leading indicator includes presenting the at least one leading indicator on a computer-based dashboard. 
     
     
         19 . The system of  claim 18 , wherein the computer-based dashboard comprises a network management tool. 
     
     
         20 . A method of operating a digital studio cloud computing provisioning system including a plurality of sensors associated with at least one rendering device, the method comprising:
 provisioning a first set of cloud computing resources associated with at least one rendering task on the at least one rendering device, wherein the first set of could computing resources is associated with a burst criteria;   monitoring at least one leading indicator relating to the first set of cloud computing resources, the at least one leading indicator derived at least in part from data from the plurality of sensors;   determining a number of additional resources for the at least one rendering task based on the plurality of sensors; and   upon satisfaction of the burst criteria by the at least one leading indicator, provisioning a second set of cloud computing resources for at least the number of additional resources for the at least one rendering task for the at least one rendering device.   
     
     
         21 . A computer-readable non-transitory storage medium including instructions which are executed by one or more processors, wherein the instructions include:
 provisioning a first set of cloud computing resources associated with at least one rendering task on at least one rendering device of a digital studio cloud computing provisioning system, wherein the first set of could computing resources is associated with a burst criteria, and the digital studio cloud computing provisioning system includes a plurality of sensors associated with the at least one rendering device;   monitoring at least one leading indicator relating to the first set of cloud computing resources, the at least one leading indicator derived at least in part from data from the plurality of sensors;   determining a number of additional resources for the at least one rendering task based on the plurality of sensors; and   upon satisfaction of the burst criteria by the at least one leading indicator, provisioning a second set of cloud computing resources for at least the number of additional resources for the at least one rendering task for the at least one rendering device.