On demand application scheduling in a heterogeneous workload environment

• US 20070180453A1
• Filed: 01/27/2006
• Published: 08/02/2007
• Est. Priority Date: 01/27/2006
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Steinder, Malgorzata, Daughtrey, Erik, Montero, Gabriel, Sankaran, Sajan, Burr, Michael, Fricano, Charles, Labrecque, Daniel, Spreitzer, Michael
• Application Number:
  US11/340,937
• Publication Number:
  US 20070180453A1
• Time in Patent Office: Days
• US Class Current: 718/105
• CPC Class Codes: G06F 2209/5011 Pool
• CPC Class Codes: G06F 2209/508 Monitor
• CPC Class Codes: G06F 9/5027 the resource being a machine, e.g. CPUs, Servers, Terminals
• CPC Class Codes: G06F 9/5083 Techniques for rebalancing the load in a distributed system

Abstract

Embodiments of the present invention address deficiencies of the art in respect to deploying heterogeneous workloads in separate resource pools and provide a method, system and computer program product for on-demand application scheduling in a heterogeneous environment. In one embodiment of the invention, a method for balancing nodal allocations in a resource pool common to both transactional workloads and long running workloads can include parsing a service policy for both transactional workloads and also long running workloads. An allocation of nodes for a common resource pool for the transactional and long running workloads can be determined to balance performance requirements for the transactional workloads and long running workloads specified by the service policy. Subsequently, the determined allocation can be applied to the common resource pool.

Claims

1. A method for balancing nodal allocations in a resource pool common to both transactional workloads and long running workloads, the method comprising:

parsing a service policy for both transactional workloads and also long running workloads;

determining an allocation of nodes for a common resource pool for the transactional and long running workloads to balance performance requirements for the transactional workloads and long running workloads specified by the service policy; and

,

applying the determined allocation to the common resource pool.

2. The method of claim 1, wherein parsing a service policy for both transactional workloads and also long running workloads, comprises parsing the service policy to determine a maximum response time for transactional workloads and a maximum queue time for long running workloads.

3. The method of claim 1, wherein determining an allocation of nodes for a common resource pool for the transactional and long running workloads to balance performance requirements for the transactional workloads and long running workloads specified by the service policy, comprises:

measuring performance data for received transactional workloads and long running workloads in the common resource pool;

detecting a performance deficiency with respect to the service policy; and

,

computing a number of nodes to be added to the common resource pool to ameliorate the performance deficiency.

4. The method of claim 1, wherein determining an allocation of nodes for a common resource pool for the transactional and long running workloads to balance performance requirements for the transactional workloads and long running workloads specified by the service policy, comprises:

measuring performance data for received transactional workloads and long running workloads in the common resource pool;

determining the satisfaction of the performance requirements of the service policy by the common resource pool;

detecting excess capacity in the common resource pool; and

,

computing a number of nodes to be removed from the common resource pool to remove the excess capacity while maintaining the performance requirements of the service policy.

5. The method of claim 1, wherein determining an allocation of nodes for a common resource pool for the transactional and long running workloads to balance performance requirements for the transactional workloads and long running workloads specified by the service policy, comprises:

comparing utility values for received transactional workloads and long running workloads in the common resource pool; and

,

determining nodal allocations in the common resource pool based upon the comparison of the utility values.

6. A data processing system for balancing nodal allocations in a resource pool common to both transactional workloads and long running workloads, the data processing system comprising:

a router configured for communicative coupling to one or more requesting clients over a computer communications network;

a workload manager for a resource pool common to both transactional workloads and long running workloads; and

,

a balancer comprising program code enabled to specify a nodal configuration for the resource pool to achieve performance requirements specified by a service policy both for the transactional workloads and also for the long running workloads.

7. The data processing system of claim 6, further comprising an endpoint runtime container communicatively coupled to the workload manager and configured to add and remove nodes from the common resource pool as directed by the workload manager.

8. The data processing system of claim 6, further comprising systems management components coupled to the balancer and configured to provide access to performance data for executing ones of the transactional workloads and executing ones of the long running workloads.

9. A computer program product comprising a computer usable medium having computer usable program code for balancing nodal allocations in a resource pool common to both transactional workloads and long running workloads, the computer program product including:

computer usable program code for parsing a service policy for both transactional workloads and also long running workloads;

computer usable program code for determining an allocation of nodes for a common resource pool for the transactional and long running workloads to balance performance requirements for the transactional workloads and long running workloads specified by the service policy; and

,

computer usable program code for applying the determined allocation to the common resource pool.

10. The computer program product of claim 9, wherein the computer usable program code for parsing a service policy for both transactional workloads and also long running workloads, comprises computer usable program code for parsing the service policy to determine a maximum response time for transactional workloads and a maximum queue time for long running workloads.

11. The computer program product of claim 9, wherein the computer usable program code for determining an allocation of nodes for a common resource pool for the transactional and long running workloads to balance performance requirements for the transactional workloads and long running workloads specified by the service policy, comprises:

computer usable program code for measuring performance data for received transactional workloads and long running workloads in the common resource pool;

computer usable program code for detecting a performance deficiency with respect to the service policy; and

,

computer usable program code for computing a number of nodes to be added to the common resource pool to ameliorate the performance deficiency.

12. The computer program product of claim 9, wherein the computer usable program code for determining an allocation of nodes for a common resource pool for the transactional and long running workloads to balance performance requirements for the transactional workloads and long running workloads specified by the service policy, comprises:

computer usable program code for measuring performance data for received transactional workloads and long running workloads in the common resource pool;

computer usable program code for determining the satisfaction of the performance requirements of the service policy by the common resource pool;

computer usable program code for detecting excess capacity in the common resource pool; and

,

computer usable program code for computing a number of nodes to be removed from the common resource pool to remove the excess capacity while maintaining the performance requirements of the service policy.

13. The computer program product of claim 9, wherein the computer usable program code for determining an allocation of nodes for a common resource pool for the transactional and long running workloads to balance performance requirements for the transactional workloads and long running workloads specified by the service policy, comprises:

computer usable program code for comparing utility values for received transactional workloads and long running workloads in the common resource pool; and

,

computer usable program code for determining nodal allocations in the common resource pool based upon the comparison of the utility values.