Patent ID: 8510745
Filing Date: 2013-08-13
Classification: G06F

Abstract:
1. A method for on-demand application resource allocation under one or more load-dependent resource constraints and one or more load-independent resource constraints by dynamically reconfiguring placement of applications on servers, the method comprising the steps of: describing a plurality of servers and a plurality of applications as abstract sets of elements corresponding to the plurality of servers and the plurality of applications, respectively, defining sets of load-dependent and sets of load independent capacities of said abstract sets of elements, determining a feasibility for a given assignment of applications to servers, and determining a feasibility for distributing demand between servers, based on said sets of load dependent and said sets of load independent capacities of said abstract sets of elements; computing a workload prediction for each of the plurality of applications utilizing historical information of requests arrival rate to the plurality of applications and a set of application resource requirements by estimating an amount of server resources required for each of the plurality of applications to perform the requests computing a predicted load-dependent resource requirement for each of the plurality of applications based on the workload prediction and the set of applications resource requirements; and dynamically reconfiguring placement of applications on servers based on the predicted load-dependent resource requirements and an objective function to optimize a placement of applications on servers, wherein the objective function comprises a total number of applications assignment changes from a previous time interval to a current time interval, wherein dynamically reconfiguring placement of applications includes deploying additional instances of an application to meet increased load and removing said additional instances of said application when said additional instances of said application are not needed; and wherein the optimization of the placement of applications on servers minimizes the total number of applications assignment changes.