CAPACITY PLANNING BY TRANSACTION TYPE

• US 20090031066A1
• Filed: 07/24/2007
• Published: 01/29/2009
• Est. Priority Date: 07/24/2007
• Status: Active Grant

• Current Assignee: CA, Inc. (d/b/a CA Technologies) (Broadcom, Inc.)
• Original Assignee: CA, Inc. (d/b/a CA Technologies) (Broadcom, Inc.)
• Inventors: Seidman, David Isaiah, Bansal, Jyoti Kumar, Addleman, Mark Jacob
• Granted Patent: US 8,631,401 B2
• Time in Patent Office: Days
• US Class Current: 710/113
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 11/3419 by assessing time
• CPC Class Codes: G06F 11/3476 Data logging G06F11/14, G06F11/2205 take precedence
• CPC Class Codes: G06F 2201/87 Monitoring of transactions
• CPC Class Codes: G06F 2209/5019 Workload prediction
• CPC Class Codes: G06F 2209/508 Monitor
• CPC Class Codes: G06F 9/5011 the resources being hardware resources other than CPUs, Servers and Terminals
• CPC Class Codes: G06F 9/5027 the resource being a machine, e.g. CPUs, Servers, Terminals
• CPC Class Codes: G06F 9/5077 Logical partitioning of resources; Management or configuration of virtualized resources specific details on emulation or internal functioning of virtual machines G06F9/455
• CPC Class Codes: G06F 9/5083 Techniques for rebalancing the load in a distributed system

Abstract

Capacity planning is performed based on expected transaction load and the resource utilization for each expected transaction. Resource usage is determined for one or more transactions or URLs based on transaction specific and non-transaction specific resource usage. Once the resource usage for each transaction is known, the expected resource usage may be determined for an expected quantity of each transaction. The actual resources needed to meet the expected resource usage are then determined. Resources may include hardware or software, such as a central processing unit, memory, hard disk bandwidth, network bandwidth, and other computing system components. The expected resource usage for a transaction may based on the usage directly related to the transaction and usage not directly related to the transaction but part of a process associated with the performed transactions.

Claims

1. A computer implemented method for monitoring a transaction, comprising:

performing a plurality of transactions by an application using one or more resources;

determining a first usage of each of the one or more resources by each of the plurality of transactions; and

associating a second usage of each of the one or more resources with one or more of the plurality of transactions, the second usage associated with a non-transaction specific usage of the resource.

2. The computer implemented method of claim 1, further comprising:

receiving one or more requests over a network, the plurality of transactions performed in response to receiving the one or more requests.

3. The computer implemented method of claim 2, wherein the request is a URL request.

4. The computer implemented method of claim 1, wherein the second usage is apportioned to a first transaction of the plurality of transactions by a load percentage of the first transaction with respect to the total load of the plurality of transactions that use the one or more resources.

5. The computer implemented method of claim 4, wherein the transactions are performed by a computer process.

6. The computer implemented method of claim 5, wherein the computer process is a Java Virtual Machine (JVM) process.

7. The computer implemented method of claim 1, wherein said step of associating a second usage includes:

determining the total usage level of the one or more resources by the plurality of transactions during a period of time as part of a computer process.

8. The computer implemented method of claim 7, wherein said step of associating a second usage includes:

determining the total resource usage during the period of time with respect to the computer process.

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

inserting monitoring code into an application for monitoring the application at runtime, wherein said performance data is reported by the bytecode.

10. The computer implemented method of claim 1, further comprising:

generating performance data in response to performing the plurality of transactions, the first usage and second usage derived from the performance data.

11. The computer implemented method of claim 1, wherein said step of associating a second usage includes:

attributing a portion of non-transaction specific usage of each resource to attribute to one or more of the plurality of transactions by the percentage of direct usage load of the resource.

12. The computer implemented method of claim 1, wherein the second usage level is apportioned to each of the one or more of the plurality of transactions by a load percentage of the transaction with respect to the total load of the plurality of transactions that use the resource.

13. The computer implemented method of claim 1, wherein the plurality of transactions are performed during a Java Virtual Machine (JVM) process.

14. One or more processor readable storage devices having processor readable code embodied on said processor readable storage devices, said processor readable code for programming one or more processors to perform a method comprising:

receiving a request to perform a transaction;

associating the request with a thread;

performing the transaction by the thread, wherein performance of the transaction utilizes one or more computer components; and

determining the utilization of each of the one or more computer components by the thread while performing the transaction, wherein the utilization includes computer component usage directly resulting from the transaction and computer component usage that is not a direct result of the transaction.

15. The one or more processor readable storage devices of claim 14, said step of determining the utilization including:

determining a utilization of the one or more processors for performing the transaction.

16. The one or more processor readable storage devices of claim 15, wherein said step of determining the utilization includes:

determining a time used to process the transaction by the one or more processors.

17. The one or more processor readable storage devices of claim 14, said step of determining the utilization including:

determining a utilization of a memory system for performing the transaction.

18. The one or more processor readable storage devices of claim 16, wherein said step of determining the utilization includes:

determining a size of data stored to the memory system due to processing the transaction.

19. The one or more processor readable storage devices of claim 18, wherein the data stored to the memory system is one or more allocated objects.

20. The one or more processor readable storage devices of claim 17, the memory system including random access memory

21. The one or more processor readable storage devices of claim 17, wherein the memory system includes a hard disk device.

22. The one or more processor readable storage devices of claim 14, said step of determining the utilization including:

determining a utilization of network bandwidth for the transaction.

23. The one or more processor readable storage devices of claim 14, wherein determining the utilization includes:

monitoring the data communicated through a network socket allocated for the transaction.

24. The one or more processor readable storage devices of claim 14, wherein the one or more computer components include a central processing unit and random access memory residing on one machine.

25. A computer implemented method for monitoring a transaction, comprising:

performing a transaction by a system using one or more resources;

receiving application runtime data regarding the one or more resources;

determining an amount of each of the one or more resources used to perform the transaction using the application runtime data, wherein the amount of each resource is determined from transaction-specific application runtime data and non-transaction specific data; and

determining the number of resources needed to meet an expected capacity based on the amount of each of the one or more resources used to perform the transaction.

26. The computer implemented method of claim 25, further comprising:

receiving a URL request, the transaction performed in response to the URL request.

27. The computer implemented method of claim 25, wherein the resources include a CPU, RAM memory, hard disk memory and network socket connections.

28. The computer implemented method of claim 25, wherein the transactions are performed as part of a computer process, the amount of each of the one or more resources used to perform each transaction including:

a first amount of each resource used during the computer process to directly perform each transaction, and

a second amount of each resource used during the computer process which is not attributed to the transactions.

29. The computer implemented method of claim 25, wherein the second amount of each resource used is attributed to the transaction based on the percentage of resource usage for the transaction with respect to resource usage for a plurality of transactions which include the first transaction.

30. The computer implemented method of claim 25, determining the resources needed for an expected occurrence of the transactions based on the amount of each resource used for each of the transactions.

31. One or more processor readable storage devices having processor readable code embodied on said processor readable storage devices, said processor readable code for programming one or more processors to perform a method comprising:

receiving requests to perform two or more transactions;

performing the transactions in response to the requests using one or more resources; and

determining a first usage level of each of the one or more resources for a first transaction of the two or more transactions; and

determining a second usage level for the one or more resources to attribute to the first transaction, the second usage level not directly associated with the first transaction.

32. The one or more processor readable storage devices of claim 31, the requests received as a URL request, wherein determining a first usage includes associating the transaction with a uniform resource locator.

33. The one or more processor readable storage devices of claim 31, wherein the second usage is apportioned to the first transaction by a load percentage of the first transaction with respect to the total load of the two or more transactions that use the one or more resources.

34. The one or more processor readable storage devices of claim 33, wherein the transactions are performed as part of a computer process.

35. The one or more processor readable storage devices of claim 34, wherein the computer process is a Java Virtual Machine (JVM) process.

36. The one or more processor readable storage devices of claim 31, wherein said step of determining a second usage level includes:

determining the total usage level of the one or more resources by the two or more transactions during a period of time as part of a computer process.

37. The one or more processor readable storage devices of claim 36, wherein said step of determining a second usage level includes:

determining the total resource use during the period of time with respect to the computer process.

38. An apparatus for processing data, comprising:

a communication interface;

a storage device;

a hard disk; and

one or more processors in communication with said storage device, hard disk and said communication interface, said one or more processors perform transactions and determine a usage level of each of the storage device, hard disk and one or more processors for each of the transactions, the usage level incorporating transaction specific and non-transaction specific resource usage.

39. The apparatus of claim 38, further comprising:

a network communication device in communication with said one or more processors, said one or more processors determine a usage level of said network communication device for each of the transactions.

40. The apparatus of claim 39, said one or more processors perform the transactions as part of a computer process, determine a total usage level of each of the one or more resources for the computer process and identify a portion of the total usage level of each of the one or more resources to attribute to each transaction as non-transaction specific resource usage.