Abstract: Methods, computer readable media, and devices for distributing risk of multiple realms across multiple resources based on a realm risk model are disclosed. One method may include determining a time score based on an average response, a traffic score based on an average client request rate, and a risk score based on the time score and the traffic score for a plurality of realms, distributing the plurality of realms across a fixed number of resources based on the risk scores of the plurality of realms, and in response to a change in a risk score of a realm, redistributing the plurality of realms across the fixed number of resources based on a difference between a maximum risk score and a minimum risk score.

Abstract: Methods, computer readable media, and devices for distributing risk of multiple realms across multiple resources based on a realm risk model are disclosed. One method may include determining a time score based on an average response, a traffic score based on an average client request rate, and a risk score based on the time score and the traffic score for a plurality of realms, distributing the plurality of realms across a fixed number of resources based on the risk scores of the plurality of realms, and in response to a change in a risk score of a realm, redistributing the plurality of realms across the fixed number of resources based on a difference between a maximum risk score and a minimum risk score.

Abstract: Methods, computer readable media, and devices for balancing traffic of multiple realms across multiple resources such that a load balancing algorithm delivers equal flows of traffic to the multiple resources are disclosed. One method may include identifying a high risk realm and two low risk realms from among a plurality of realms, identifying three resources from among a plurality of resources, and distributing the high risk realm, the first low risk realm, and the second low risk realm across the three resources such that the high risk realm and a first low risk realm share a first resource, the high risk realm and a second low risk realm share a second resource, the two low risk realms share a third resource, traffic of the high risk realm is load balanced equally, and traffic of the two low risk realms is load balanced unequally.

Abstract: Methods, computer readable media, and devices for balancing traffic of multiple realms across multiple resources such that a load balancing algorithm delivers equal flows of traffic to the multiple resources are disclosed. One method may include identifying a high risk realm and two low risk realms from among a plurality of realms, identifying three resources from among a plurality of resources, and distributing the high risk realm, the first low risk realm, and the second low risk realm across the three resources such that the high risk realm and a first low risk realm share a first resource, the high risk realm and a second low risk realm share a second resource, the two low risk realms share a third resource, traffic of the high risk realm is load balanced equally, and traffic of the two low risk realms is load balanced unequally.

Abstract: Methods, computer readable media, and devices for distributing risk of multiple realms across multiple resources based on a realm risk model are disclosed. One method may include determining a time score based on an average response, a traffic score based on an average client request rate, and a risk score based on the time score and the traffic score for a plurality of realms, distributing the plurality of realms across a fixed number of resources based on the risk scores of the plurality of realms, and in response to a change in a risk score of a realm, redistributing the plurality of realms across the fixed number of resources based on a difference between a maximum risk score and a minimum risk score.