Apparatus and method for capacity planning for data center server consolidation and workload reassignment
First Claim
1. A method of capacity planning for server migration from a first server system characterized by a source configuration comprising a set of source parameters, an original set of workloads and a set of service demands associated to a set of devices, to a second server system, the method comprising:
- specifying a destination configuration of the second server system;
transforming the set of source parameters into a set of destination parameters for the destination configuration by scaling a service demand in the set of service demands into a speed independent service demand parameter according to;
choosing a speed benchmark parameter associated with a device in the set of devices, andmultiplying the speed benchmark parameter by the service demand to arrive at the speed independent service demand parameter; and
deriving a performance model for the destination configuration based on the set of destination parameters and the speed independent service demand parameter.
3 Assignments
0 Petitions
Accused Products
Abstract
A server migration tool used to construct data center migration scenarios allowing for a user to rapidly manipulate a large number of input parameters required to describe a transformation from one data center configuration to a new data center configuration. The tool then performs the transformation and allows the user to interact with new data center configuration to understand its performance. A novel parameterization, speed independent service demand (SISD), greatly facilitates scaling performance metrics between different hardware platforms.
-
Citations
12 Claims
-
1. A method of capacity planning for server migration from a first server system characterized by a source configuration comprising a set of source parameters, an original set of workloads and a set of service demands associated to a set of devices, to a second server system, the method comprising:
-
specifying a destination configuration of the second server system; transforming the set of source parameters into a set of destination parameters for the destination configuration by scaling a service demand in the set of service demands into a speed independent service demand parameter according to; choosing a speed benchmark parameter associated with a device in the set of devices, and multiplying the speed benchmark parameter by the service demand to arrive at the speed independent service demand parameter; and deriving a performance model for the destination configuration based on the set of destination parameters and the speed independent service demand parameter. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
-
Specification