Dynamic software performance models
First Claim
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1. In a computing environment, a method of simulating a computing system, the method comprising a computer system performing the following:
- referencing a first data structure defining an application model to model a computer application, wherein the application model comprises;
service models defined within the application model, the services models being designed to model application modules that process requests to implement functionality of the computer application, the definition of service models comprising definitions of hardware actions, wherein the service models are defined independent of definitions of hardware device models, wherein the hardware actions include;
a number of cycles for a cpu;
various sizes and types for Input/Output for a hard disk drive, the types specifying at least one of;
a sequential read;
a random read;
a sequential write;
ora random write, andan amount of network traffic;
referencing one or more second data structures defining hardware device models, the hardware device models including definitions of computer hardware characteristics, including;
a hard disk drive model defining a modeled latency for simulating and defining the hard disk latency according to I/O size, the model including;
a property defining a constant for random reads;
a property defining a slope for random reads;
a property defining a constant for sequential reads;
a property defining a slope for sequential reads;
a property defining a constant for random writes;
a property defining a slope for random writes;
a property defining a constant for sequential writes; and
a property defining a slope for sequential reads;
such that a modeled hard disk latency can be calculated given the type of I/O operation and using a constant, an associated slope, and I/O size;
latency for a cpu; and
bandwidth for a network hardware model;
referencing a performance scenario defining interconnections between the hardware device models and defining where the service models are applied to the hardware device models; and
simulating the computer application in a hardware environment defined by the performance scenario.
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Abstract
Simulating an application. A method that may be practiced in a computing environment configured for simulating an application modeled by an application model deployed in a performance scenario of a computing system by deploying service models of the application model to device models modeling devices. The method includes referencing a performance scenario to obtain a transaction being modeled as originating from a first device model. The transaction invokes of a first service model. The first service model specifies hardware actions for simulation. The first service model is referenced to determine the hardware actions for simulation and the next referenced service. The next referenced service specifies hardware actions to be added to the transaction and may specify invocation of other service models. A chain of hardware actions is generated by following the invocation path of the service models. The hardware actions are applied to device models to simulate the transaction.
57 Citations
16 Claims
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1. In a computing environment, a method of simulating a computing system, the method comprising a computer system performing the following:
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referencing a first data structure defining an application model to model a computer application, wherein the application model comprises; service models defined within the application model, the services models being designed to model application modules that process requests to implement functionality of the computer application, the definition of service models comprising definitions of hardware actions, wherein the service models are defined independent of definitions of hardware device models, wherein the hardware actions include; a number of cycles for a cpu; various sizes and types for Input/Output for a hard disk drive, the types specifying at least one of; a sequential read; a random read; a sequential write;
ora random write, and an amount of network traffic; referencing one or more second data structures defining hardware device models, the hardware device models including definitions of computer hardware characteristics, including; a hard disk drive model defining a modeled latency for simulating and defining the hard disk latency according to I/O size, the model including; a property defining a constant for random reads; a property defining a slope for random reads; a property defining a constant for sequential reads; a property defining a slope for sequential reads; a property defining a constant for random writes; a property defining a slope for random writes; a property defining a constant for sequential writes; and a property defining a slope for sequential reads; such that a modeled hard disk latency can be calculated given the type of I/O operation and using a constant, an associated slope, and I/O size; latency for a cpu; and bandwidth for a network hardware model; referencing a performance scenario defining interconnections between the hardware device models and defining where the service models are applied to the hardware device models; and simulating the computer application in a hardware environment defined by the performance scenario. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. In a computing environment configured for simulating computer application modeled by an application model, the application model modeling a computer application that is deployed in a performance scenario of a computing system by deploying service models of the application model to hardware device models modeling devices in the computing system in the performance scenario, a method of simulating the computer application, the method comprising a computing system performing the following:
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referencing a performance scenario to obtain a next transaction of a computer application to be modeled, the transaction specifying the invocation of a first service model of an application model modeling the computer application, the first service model specifying specific computer hardware actions to be simulated; referencing the first service model to determine the specific computer hardware actions to be simulated but wherein the service models are defined independent of definitions of hardware device models; and generating a chain of computer hardware actions by executing hardware action statements defined in the service model and adding an action to the hardware chain when each action statement is executed so as to model the chain as an edge labeled directed graph of computer hardware actions, the edge labeled directed graph including nodes representing hardware actions and edges connecting the nodes and defining the order of the hardware actions, the hardware actions in the chain being at least one of a disk I/O operation, processor cycles, or network communications; passing the graph to a simulation engine and applying the computer hardware actions to one or more hardware device models modeling computer hardware to simulate the transaction, and wherein the hardware device models include definitions of computer hardware characteristics, including; a hard disk drive model defining latency according to I/O size, the model including; a property defining a constant for random reads; a property defining a slope for random reads; a property defining a constant for sequential reads; a property defining a slope for sequential reads; a property defining a constant for random writes; and a property defining a slope for random writes; a property defining a constant for sequential writes, a property defining a slope for sequential reads; such that a modeled hard disk latency can be calculated given the type of I/O operation and using a constant, an associated slope, and I/O size; latency for a cpu; and bandwidth for a network hardware model. - View Dependent Claims (11, 12, 13, 14, 15, 16)
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Specification
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Current AssigneeMicrosoft Technology Licensing LLC (Microsoft Corporation)
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Original AssigneeMicrosoft Corporation
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InventorsPapaefstathiou, Efstathios, Oslake, John M., Hardwick, Jonathan C., Dournov, Pavel A.
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Primary Examiner(s)Shah, Kamini S
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Assistant Examiner(s)GEBRESILASSIE, KIBROM K
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Application NumberUS11/394,474Publication NumberTime in Patent Office2,076 DaysField of Search703/22, 703/13, 703/14, 703/19, 703/20, 703/21, 714/4, 714/13, 714/31, 714/38, 714/47, 716/106, 716/108, 716/113US Class Current703/22CPC Class CodesG06Q 10/04 Forecasting or optimisation...
