초록 ▼

A method for routing service requests to service instances in a service providing infrastructure is disclosed. A service request is received. Computing resource vectots for at least two service hosts are computed, and each of the service hosts have a corresponding service providing infrastructure.

A method for routing service requests to service instances in a service providing infrastructure is disclosed. A service request is received. Computing resource vectots for at least two service hosts are computed, and each of the service hosts have a corresponding service providing infrastructure. A resource model for the service request is retrieved. The retrieved resource model are matched to each of the resource vectors to identify a best-fit resource vector. The service request is routed to a selected service host associated with the identified best-fit resource vector. Processing of received service requests is monitored. Individual resource components in the service hosts which are consumed during the processing are identified. Resource models for the service requests are produced based upon the identified individual resource components in the service hosts. A time series model is computed for each of the service requests based upon the identified individual resource components.

대표청구항 ▼

We claim: 1. A method for routing service requests to service instances in a service providing infrastructure, the method comprising the steps of: receiving a service request; computing resource vectors for at least two service hosts, each of said at least two service hosts having a corresponding s

We claim: 1. A method for routing service requests to service instances in a service providing infrastructure, the method comprising the steps of: receiving a service request; computing resource vectors for at least two service hosts, each of said at least two service hosts having a corresponding service providing infrastructure; retrieving a resource model for said service request; matching said retrieved resource model to each of said resource vectors to identify a best-fit resource vector; routing said service request to a selected service host associated with said identified best-fit resource vector; monitoring processing of received service requests; identifying individual resource components in said service hosts which are consumed during said processing; producing resource models for said service requests based upon said identified individual resource components in said service hosts; wherein said producing step comprises the step of computing a time series model for each of said service requests based upon said identified individual resource components. 2. The method of claim 1, wherein said computing step comprises the step of, for each of said resource vectors, computing at least two scalar resource components selected from the group consisting of server type, server performance, server capacity, processing bandwidth, communications bandwidth, storage type, storage capacity and storage performance. 3. The method of claim 1, wherein said computing step further comprises the step of computing a scalar cost for each of said resource vectors. 4. A machine readable storage having stored thereon a computer program for routing service requests to service instances in a service providing infrastructure, the computer program comprising a routine set of instructions for causing the machine to perform the steps of: receiving a service request; computing resource vectors for at least two service hosts, each of said at least two service hosts having a corresponding service providing infrastructure; retrieving a resource model for said service request; matching said retrieved resource model to each of said resource vectors to identify a best-fit resource vector; routing said service request to a selected service host associated with said identified best-fit resource vector; monitoring processing of received service requests; identifying individual resource components in said service hosts which are consumed during said processing; and producing resource models for said service requests based upon said identified individual resource components in said service hosts; wherein said producing step comprises the step of computing a time series model for each of said service requests based upon said identified individual resource components. 5. The machine readable storage of claim 4, wherein said computing step comprises the step of, for each of said resource vectors, computing at least two scalar resource components selected from the group consisting of server type, server performance, server capacity, processing bandwidth, communications bandwidth, storage type, storage capacity and storage performance. 6. The machine readable storage of claim 4, wherein said computing step further comprises the step of computing a scalar cost for each of said resource vectors.