PREDICTIVE LOAD BALANCING FOR A DIGITAL ENVIRONMENT
A system and method for predictive load balancing for a digital environment, comprising a time series data retrieval and storage server configured to monitor and record load-related data of a computational node; and an automated planning service module configured to retrieve node load-related data from the time series data retrieval and storage server, perform predictive analysis using the node load-related data, and determine whether load balancing is required.
1 . A system for predictive load balancing for a digital environment, comprising:
a time series data retrieval and storage server comprising a memory, a processor, and a plurality of programming instructions stored in the memory thereof and operable on the processor thereof, wherein the programmable instructions, when operating on the processor, cause the processor to:
monitor and record load-related data of a computational node; and
an automated planning service module comprising a memory, a processor, and a plurality of programming instructions stored in the memory thereof and operable on the processor thereof, wherein the programmable instructions, when operating on the processor, cause the processor to:
retrieve node load-related data from the time series data retrieval and storage server;
perform predictive analysis using the node load-related data; and
determine whether load balancing is required.
2 . The system of claim 1 , wherein additional nodes are automatically added and integrated when load balancing has been determined to be required.
3 . The system of claim 1 , wherein resources from other nodes are reallocated to at least a busy node when load balancing has been determined to be required.
4 . The system of claim 1 further comprising a connector module, wherein a node may utilize the connector module to communicate and exchange data with other nodes to facilitate load balancing.
5 . The system of claim 1 , wherein at least a portion of the load-related data used for predictive analysis is user contribution to system load.
6 . The system of claim 1 , wherein at least a portion of the load-related data used for predictive analysis is game-related environmental contribution to system load.
7 . The system of claim 1 , wherein at least a portion of the load-related data used for predictive analysis are scheduled events.
8 . A method for predictive load balancing for a digital environment, comprising the steps of:
(a) monitoring and recording load-related data of a computational node with a time series data retrieval and storage server;
(b) retrieving node load-related data from the time series data retrieval and storage server with an automated planning service module;
(c) performing predictive analysis using the node load-related data with the automated planning service module; and
(d) determining whether load balancing is required with an automated planning service module.
9 . The method of claim 8 , wherein additional nodes are automatically added and integrated when load balancing has been determined to be required.
10 . The method of claim 8 , wherein resources from other nodes are reallocated to at least a busy node when load balancing has been determined to be required.
11 . The method of claim 8 further comprising a connector module, wherein a node may utilize the connector module to communicate and exchange data with other nodes to facilitate load balancing.
12 . The method of claim 8 , wherein at least a portion of the load-related data used for predictive analysis is user contribution to system load.
13 . The method of claim 8 , wherein at least a portion of the load-related data used for predictive analysis is game-related environmental contribution to system load.
14 . The method of claim 8 , wherein at least a portion of the load-related data used for predictive analysis are scheduled events.