Automatic benefit analysis of dynamic cluster management solutions

• US 7,779,063 B2
• Filed: 08/03/2007
• Issued: 08/17/2010
• Est. Priority Date: 08/03/2007
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP AG (SAP SE)
• Inventors: Bozak, Erol, Gebhart, Alexander
• Primary Examiner(s): BHATIA, AJAY M
• Application Number:
  US11/833,906
• Publication Number:
  US 20090037429A1
• Time in Patent Office: 1,110 Days
• Field of Search: 709/201
• US Class Current: 709/201
• CPC Class Codes: G06F 2209/505 Clust
• CPC Class Codes: G06F 9/5061 Partitioning or combining of resources
• CPC Class Codes: H04L 41/00 Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks

Abstract

Methods and apparatus, including computer program products, are provided for determining whether there is a benefit to implementing a dynamic cluster system rather than a static cluster system. In one aspect, there is provided a computer-implemented method. The method may include accessing, at a static cluster system, information representative of the static cluster system and accessing information representative of a dynamic cluster system. Based on the accessed information, a value may be determined, such that the value represents a benefit (e.g., an indication of usefulness or worth as well as a lack of usefulness or worth) of implementing the dynamic cluster system rather than the static cluster system. The determined value may be provided to a user interface, so that a user may decide whether to implement the dynamic cluster system rather than a static cluster system. Related apparatus, systems, methods, and articles are also described.

Claims

1. A computer-implemented method comprising:

accessing, at a static cluster system, information representative of the static cluster system;

accessing information representative of a dynamic cluster system;

determining, based on the accessed information, a value representative of a benefit of implementing the dynamic cluster system rather than the static cluster system, wherein the benefit is determine as the cost associated with the static cluster system based on the following equation;

C_trad=(n*T_tdg*C_t)+(n*T_tci*C_t)+(n*T_tdi*C_t), wherein

n represents a quantity of moves detected in the static cluster system;

T_tdg represents a first time to move a database instance of the static cluster system;

C_t represents a cost value per unit of time;

T_tci represents a second time to move a central instance in the static cluster system; and

T_tdi represents a third time to move a dialog instance in the static cluster system; and

providing the determined value to a user interface, wherein at least one processor performs at least one of the accessing information at the static cluster system, the accessing information representative of a dynamic cluster system, the determining, and the providing.

2. The computer-implemented method of claim 1, wherein determining further comprises:

determining the second cost associated with the dynamic cluster system based on the following equation;

C_ada=(n*T_adb*C_t)+(n*T_aci*C_t)+(n*T_adi*C_t)+C_once, wherein

T_adb represents a fourth time to move a database in a dynamic cluster system;

T_aci represents a fifth time to move a central instance in a dynamic cluster system; and

T_adi;

represents another time to move a dialog instance in a dynamic cluster system.

3. The computer-implemented method of claim 2, wherein determining further comprises:

determining a cost reduction based on the following equation;

C_red=C_trad−

C_ada.

4. The computer-implemented method of claim 1, wherein accessing, at the static cluster system, further comprises:

accessing a registry of the static cluster system to obtain information of activity within the static cluster system.

6. The computer-implemented method of claim 1, wherein accessing information representative of the dynamic cluster system, further comprises:

accessing a registry of the dynamic cluster system to obtain information of activity within the dynamic cluster system.

7. The computer-implemented method of claim 1, wherein accessing information representative of the dynamic cluster system, further comprises:

accessing information representative of another dynamic cluster system comparable to the static cluster system.

8. The computer-implemented method of claim 1 further comprising:

implementing the dynamic cluster system to include a central instance to manage the dynamic cluster system, a network attached server to provide instances of applications, and one or more cluster nodes; and

implementing the static cluster system to include a central instance to manage the static cluster system and one or more cluster nodes.

9. The computer-implemented method of claim 1 further comprising:

measuring at a node at least one of the first time, the second time, the third time, the fourth time, and the fifth time; and

measuring the first time, the second time, the third time, the fourth time, and the fifth time as a same time or a different time.

5. The computer-implemented method of clam 1, wherein accessing, at the static cluster system, further comprises:

accessing information representative of another static cluster system comparable to the static cluster system.

10. A non-transitory computer-readable storage medium containing instructions to configure a processor to perform a method, the method comprising:

accessing, at a static cluster system, information representative of the static cluster system;

accessing information representative of a dynamic cluster system;

determining, based on the accessed information, a value representative of a benefit of implementing the dynamic cluster system rather than the static cluster system, wherein the benefit is determine as the cost associated with the static cluster system based on the following equation;

C_trad=(n*T_tdg*C_t)+(n*T_tci*C_t)+(n*T_tdi*C_t), wherein

n represents a quantity of moves detected the static cluster system;

T_tdg represents a first time to move a database instance of the static cluster system;

C_t represents a cost value per unit of time;

T_tci represents a second time to move a central instance in the static cluster system; and

T_tdi represents a third time to move a dialog instance in the static cluster system; and

providing the determined value to a user interface.

11. The non-transitory computer-readable medium of claim 10, wherein determining further comprises:

determining the second cost associated with the dynamic cluster system based on the following equation;

C_ada=(n*T_adb*C_t)+(n*T_aci*C_t)+(n*T_adi*C_t)+C_once, wherein

T_adb represents a fourth time to move a database in a dynamic cluster system;

T_aci represents a fifth time to move a central instance in a dynamic cluster system; and

T_adi represents another time to move a dialog instance in a dynamic cluster system.

12. The non-transitory computer-readable medium of claim 11, wherein determining further comprises:

determining a cost reduction based on the following equation;

C_red=C_trad−

C_ada.

13. The non-transitory computer-readable medium of claim 10, wherein accessing, at the static cluster system, further comprises:

accessing a registry of the static cluster system to obtain information of activity within the static cluster system.

14. A system comprising:

a processor; and

a memory, wherein the processor and the memory are configured to perform a method comprising;

accessing, at a static cluster system, information representative of the static cluster system;

accessing information representative of a dynamic cluster system;

determining, based on the accessed information, a value representative of a benefit of implementing the dynamic cluster system rather than the static cluster system, wherein the benefit is determine as the cost associated with the static cluster system based on the following equation;

C_trad=(n*T_tdg*C_t)+(n*T_tci*C_t)+(n*T_tdi*C_t), wherein

n represents a quantity of moves detected in the static cluster system;

T_tdg represents a first time to move a database instance of the static cluster system;

C_t represents a cost value per unit of time;

T_tci represents a second time to move a central instance in the static cluster system; and

T_tdi represents a third time to move a dialog instance in the static cluster system; and

providing the determined value to a user interface.