1. A method of decentralized load distribution in an event-driven system, the method comprising the steps of: receiving a data flow to be processed by a plurality of tasks at a plurality of nodes in the event-driven system having stateful and stateless event processing components, wherein the plurality of tasks are selected from the group consisting of hierarchical tasks, wherein a hierarchical task is a task that is dependent on the output of another task, nonhierarchical tasks, wherein a nonhierarchical task is a task that is not dependent on the output of another task and mixtures thereof, collecting statistics about each task hosted at each node and the characteristics of the node including its heat characteristics; creating a list of neighbor nodes, using the collected statistics, to which a task can be partially or wholly transferred; selecting at least one task having a first temperature at a node for consideration to migrate, known as the target task, to a neighbor node, known as the target node, from the list of neighbor nodes, to distribute the system load of processing the at least one task and reduce cooling costs; choosing the target node to which the at least one target task can be migrated wherein the target node has a second temperature; migrating the target task to the target node provided the migration will lower the first temperature and the second temperature is below a predetermined acceptable heat threshold; and establishing a load exchange protocol at each node for governing the number of migrations of target tasks, wherein decentralized load migrations lead to overall system load distribution in the event-driven system and reduce cooling costs.