Performance Evaluation Methodologies and Tools
Performance Evaluation Methodologies and Tools

Author: Qianchuan Zhao

Publisher: Springer Nature

Published: 2021-12-07

Total Pages: 274

ISBN-13: 3030925110

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This book constitutes the refereed conference proceedings of the 14th International Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2021, held in October 2021. Due to the safety concerns and travel restrictions caused by COVID-19, VALUETOOLS took place online in a live stream. VALUETOOLS 2021 aims to provide a world-leading and multidisciplinary venue for researchers and practitioners in diverse disciplines such as computer science, networks and telecommunications, operations research, optimization, control theory and manufacturing. The 16 full papers were carefully reviewed and selected from 32 submissions and focus on methodologies and practices in modelling, performance evaluation and optimization of complex systems.

An Approach for Guiding Developers to Performance and Scalability Solutions
An Approach for Guiding Developers to Performance and Scalability Solutions

Author: Heger, Christoph

Publisher: KIT Scientific Publishing

Published: 2018-09-05

Total Pages: 390

ISBN-13: 373150698X

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The quality of enterprise software applications plays a crucial role for the satisfaction of the users and the economic success of the enterprises. Software applications with unsatisfying performance and scalability are perceived by its users as low in quality, as less interesting and less attractive, and cause frustration when preventing the users from attaining their goals. This book proposes an approach for a recommendation system that enables developers who are novices in software perform.

Modeling and Simulating Software Architectures
Modeling and Simulating Software Architectures

Author: Ralf H. Reussner

Publisher: MIT Press

Published: 2016-10-28

Total Pages: 398

ISBN-13: 026203476X

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A new, quantitative architecture simulation approach to software design that circumvents costly testing cycles by modeling quality of service in early design states. Too often, software designers lack an understanding of the effect of design decisions on such quality attributes as performance and reliability. This necessitates costly trial-and-error testing cycles, delaying or complicating rollout. This book presents a new, quantitative architecture simulation approach to software design, which allows software engineers to model quality of service in early design stages. It presents the first simulator for software architectures, Palladio, and shows students and professionals how to model reusable, parametrized components and configured, deployed systems in order to analyze service attributes. The text details the key concepts of Palladio's domain-specific modeling language for software architecture quality and presents the corresponding development stage. It describes how quality information can be used to calibrate architecture models from which detailed simulation models are automatically derived for quality predictions. Readers will learn how to approach systematically questions about scalability, hardware resources, and efficiency. The text features a running example to illustrate tasks and methods as well as three case studies from industry. Each chapter ends with exercises, suggestions for further reading, and “takeaways” that summarize the key points of the chapter. The simulator can be downloaded from a companion website, which offers additional material. The book can be used in graduate courses on software architecture, quality engineering, or performance engineering. It will also be an essential resource for software architects and software engineers and for practitioners who want to apply Palladio in industrial settings.

Efficiently Conducting Quality-of-Service Analyses by Templating Architectural Knowledge
Efficiently Conducting Quality-of-Service Analyses by Templating Architectural Knowledge

Author: Lehrig, Sebastian Michael

Publisher: KIT Scientific Publishing

Published: 2018-04-06

Total Pages: 552

ISBN-13: 3731507560

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Previously, software architects were unable to effectively and efficiently apply reusable knowledge (e.g., architectural styles and patterns) to architectural analyses. This work tackles this problem with a novel method to create and apply templates for reusable knowledge. These templates capture reusable knowledge formally and can efficiently be integrated in architectural analyses.

Architectural Data Flow Analysis for Detecting Violations of Confidentiality Requirements
Architectural Data Flow Analysis for Detecting Violations of Confidentiality Requirements

Author: Seifermann, Stephan

Publisher: KIT Scientific Publishing

Published: 2022-12-09

Total Pages: 412

ISBN-13: 3731512467

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Software vendors must consider confidentiality especially while creating software architectures because decisions made here are hard to change later. Our approach represents and analyzes data flows in software architectures. Systems specify data flows and confidentiality requirements specify limitations of data flows. Software architects use detected violations of these limitations to improve the system. We demonstrate how to integrate our approach into existing development processes.

Modeling and Prediction of I/O Performance in Virtualized Environments
Modeling and Prediction of I/O Performance in Virtualized Environments

Author: Noorshams, Omar-Qais

Publisher: KIT Scientific Publishing

Published: 2017-03-10

Total Pages: 312

ISBN-13: 373150359X

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We present a novel performance modeling approach tailored to I/O performance prediction in virtualized environments. The main idea is to identify important performance-influencing factors and to develop storage-level I/O performance models. To increase the practical applicability of these models, we combine the low-level I/O performance models with high-level software architecture models. Our approach is validated in a variety of case studies in state-of-the-art, real-world environments.

Engineering Scalable, Elastic, and Cost-Efficient Cloud Computing Applications
Engineering Scalable, Elastic, and Cost-Efficient Cloud Computing Applications

Author: Steffen Becker

Publisher: Springer

Published: 2017-05-31

Total Pages: 197

ISBN-13: 3319542869

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This book provides an overview of the problems involved in engineering scalable, elastic, and cost-efficient cloud computing services and describes the CloudScale method — a description of rescuing tools and the required steps to exploit these tools. It allows readers to analyze the scalability problem in detail and identify scalability anti-patterns and bottlenecks within an application. With the CloudScale method, software architects can analyze both existing and planned IT services. The method allows readers to answer questions like: • With an increasing number of users, can my service still deliver acceptable quality of service? • What if each user uses the service more intensively? Can my service still handle it with acceptable quality of service? • What if the number of users suddenly increases? Will my service still be able to handle it? • Will my service be cost-efficient? First the book addresses the importance of scalability, elasticity, and cost-efficiency as vital quality-related attributes of modern cloud computing applications. Following a brief overview of CloudScale, cloud computing applications are then introduced in detail and the aspects that need to be captured in models of such applications are discussed. In CloudScale, these aspects are captured in instances of the ScaleDL modeling language. Subsequently, the book describes the forward engineering part of CloudScale, which is applicable when developing a new service. It also outlines the reverse and reengineering parts of CloudScale, which come into play when an existing (legacy) service is modified. Lastly, the book directly focuses on the needs of both business-oriented and technical managers by providing guidance on all steps of implementing CloudScale as well as making decisions during that implementation. The demonstrators and reference projects described serve as a valuable starting point for learning from experience. This book is meant for all stakeholders interested in delivering scalable, elastic, and cost-efficient cloud computing applications: managers, product owners, software architects and developers alike. With this book, they can both see the overall picture as well as dive into issues of particular interest.

Performance Problem Diagnostics by Systematic Experimentation
Performance Problem Diagnostics by Systematic Experimentation

Author: Wert, Alexander

Publisher: KIT Scientific Publishing

Published: 2018-03-29

Total Pages: 486

ISBN-13: 3731506777

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In this book, we introduce an automatic, experiment-based approach for performance problem diagnostics in enterprise software systems. The proposed approach systematically searches for root causes of detected performance problems by executing series of systematic performance tests. The presented approach is evaluated by various case studies showing that the presented approach is applicable to a wide range of contexts.

Chemoarchitectonic Atlas of the Developing Mouse Brain
Chemoarchitectonic Atlas of the Developing Mouse Brain

Author: David M. Jacobowitz

Publisher: CRC Press

Published: 1997-12-29

Total Pages: 338

ISBN-13: 9780849326677

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Representing the state-of-the-art in neurochemical mapping, Chemoarchitectonic Atlas of the Developing Mouse Brain provides a complete, full-color look at the developing mouse brain. Hundreds of coronal sections are presented, clearly illustrating structures at progressive stages of brain development.

Iterating Grace
Iterating Grace

Author: Koons Crooks

Publisher: FSG Originals

Published: 2015-12-01

Total Pages: 33

ISBN-13: 0374715300

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What is this tiny book? Who is this Koons Crooks? With its privately-printed, anonymously-produced 140-copy first printing, Iterating Grace became the talk of summer 2015 in the tech world. From Buzzfeed to Tumblr to Fusion, people were puzzled and enthralled by the story of Koons Crooks, a young man who took the Twittered musings of the Silicon Valley elite to heart-and ended up on a profoundly unexpected path, leaving behind only the lovingly hand-calligraphed tweets that had meant so much to him. His story struck an immediate chord. There were competing efforts to identify the author of Iterating Grace; blog posts and lengthy comment threads pointed finger at writers all over the country, from Robin Sloan to Susan Orlean to Dave Eggers. Other early theories supposed it was the tip of an elaborate marketing scheme, and soon all would be revealed. But gradually it became clear that it was simply this: a small piece of literary art, perfectly pitched and driven by a Twain-like bemused outrage, by a creator who did not want to be identified, and would not explain anything beyond what the satirical fable said for itself. Disruptive innovators whose tweets are illustrated in Iterating Grace include: Austen Allred, cofounder of Grasswire; Sam Altman, president of Y Combinator; Marc Andreessen, coauthor of Mosaic, cofounder of Netscape and Andreessen Horowitz; Jeff Bussgang, VC at Flybrige Capital; Tony Conrad, cofounder and CEO of about.me; Benedict Evans, VC at Andreessen Horowitz; Brad Feld, VC at Foundry Group-and many more.