Independent general principles for constructing responsive software systems

Smith, Connie U.

doi:10.1145/6306.6307

Cited by 16 publications

(6 citation statements)

References 14 publications

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“…We summarise some of the Systems Performance Engineering (SPE) principles [49,50] for building performance into large software systems and helping provide good responsiveness to users (the response time as seem by an end-user of the system). They include:…”

Section: Spe Principlesmentioning

confidence: 99%

“…Drawing on experience in implementing conceptual designs expressed in semantic data models, it catalogues knowledge of performance concepts and development techniques, which are further organised in a layered structure. It draws on Software Performance Engineering (SPE) principles for designing performance, including user-responsiveness, into systems [49,501. Catalogues are organised along several axes.…”

Section: Introductionmentioning

confidence: 99%

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Managing performance requirements for information systems

Nixon¹

1998

Proceedings of the 1st International Workshop on Software and Performance

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A major challenge,for injbrmation system development is to deal with performance requirements, an important class ofnonfunctional requirements (quality attributes, or NFRs). For example, a system should "authorise credit card sales quickly." Howevev, pe@rmancerequirements, like other NFRs (such as accuracy and security). are d$icult to handle, since they haveglobal impact on systems, and can co$ict with each other and with target alternatives.This paper overviews a "Performance Requirements Framework " (PeRF). intended to help developers "build performance into " information systems, by producing customised solutions for the particular characteristics of a system, drawing on knowledge of pe@rmance and development. PeRF incorporates an existing goal-oriented and qualitative framework, the "NFR Framework," which oj$ers a sy~ytematic process for treating NFRs. PeRF's catalogues represent and organise knowledge of irzformation systems, their design, implementation andperformance. Catalogues, available in a partial developer's tool, draw on experience in implementing objected-basedsemantic data models, as well as Softiare Perftirmance Engineering (SPE) principles. PeRF was used in empirical studies of injtirmation systems to address a variev ofper-,fi,rmance requirements, domains, characteristics and tradeo$s.

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Section: Spe Principlesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Managing performance requirements for information systems

Nixon¹

1998

Proceedings of the 1st International Workshop on Software and Performance

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“…We are now looking at a hybrid approach that will allow us to smoothly and automatically shift from simulation and analytical models, and vice versa, over the course of the software lifecycle. Smith's [1986Smith's [ , 1990 work on software performance engineering is related to our modeling and analysis methods. Her work so far, however, has focused on sequential software systems.…”

Section: Related Workmentioning

confidence: 99%

Design-time simulation of a large-scale, distributed object system

Frølund

Garg

1998

ACM Trans. Model. Comput. Simul.

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We present a case study in using simulation at design time to predict the performance and scalability properties of a large-scale distributed object system. The system, called Consul, is a network management system designed to support hundreds of operators managing millions of network devices. It is essential that a system such as Consul be designed with performance and scalability in mind, but due to Consul's complexity and scale, it is hard to reason about performance and scalability using ad hoc techniques. We built a simulation of Consul's design to guide the design process by enabling performance and scalability analysis of various design alternatives. A major challenge in doing design-time simulation is that many parameters for the simulation are based on estimates rather than measurements. We developed analysis methods that derive conclusions that are valid in the presence of estimation errors. In this article, we describe our scalability analysis method for design simulations of distributed object systems. The main idea is to use relative and comparative reasoning to analyze design alternatives and compare transaction behaviors. We demonstrate the analysis approach by describing its application to Consul.

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“…Smith [SMIT90a] defines the following seven principles. A quantitative analysis of the performance results of three of them are in Smith [SMIT86b]. Both Smith [SMIT88a] and Smith [SMIT90a] give extensive explanations and examples for each principle.…”

Section: Early Lifecycle Performance Principlesmentioning

confidence: 99%

Software performance engineering

Smith¹

Lecture Notes in Computer Science

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Software performance engineering (SPE) is a method for constructing software systems to meet performance objectives. It uses quantitative analysis techniques to predict and evaluate performance implications of design and implementation decisions. This tutorial introduces SPE then covers the evolution of SPE. It reviews the SPE process and the methods used in the software lifecycle. It presents general principles for performance oriented design, then it introduces the quantitative techniques for predicting arid analyzing performance. The conclusion reviews the status and future of SPE.

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Independent general principles for constructing responsive software systems

Cited by 16 publications

References 14 publications

Managing performance requirements for information systems

Managing performance requirements for information systems

Design-time simulation of a large-scale, distributed object system

Software performance engineering

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