book_happe.bib

@inbook{eusgeld2008a,
  abstract = {Performability combines performance and reliability analysis in order to estimate the quality of service characteristics of a system in the presence of faults. This chapter provides an introduction to performability, discusses its relation to reliability and performance metrics, and presents common models used in performability analysis, such as Markov reward models or Stochastic Petri Nets.},
  author = {Irene Eusgeld and Jens Happe and Philipp Limbourg and Matthias Rohr and Felix Salfner},
  booktitle = {Dependability Metrics},
  chapter = {{P}erformability},
  pages = {245-254},
  publisher = {Springer-Verlag Berlin Heidelberg},
  series = {Lecture Notes in Computer Science},
  title = {{D}ependability {M}etrics},
  url = {http://www.springerlink.com/content/v349v11817117467/fulltext.pdf},
  volume = {4909},
  year = {2008}
}

@inbook{happe2008c,
  author = {Jens Happe},
  booktitle = {Dependability Metrics},
  chapter = {{A}nalytical {P}erformance {M}etrics},
  pages = {207-218},
  publisher = {Springer-Verlag Berlin Heidelberg},
  series = {Lecture Notes in Computer Science},
  title = {{D}ependability {M}etrics},
  url = {http://www.springerlink.com/content/hm6vrj22gq236651/fulltext.pdf},
  volume = {4909},
  year = {2008}
}

@book{happe2009d,
  abstract = {With today's rise of multi-core processors, concurrency becomes a ubiquitous challenge in software development. Performance prediction methods have to reflect the influence of multiprocessing environments on software performance in order to help software architects to find potential performance problems during early development phases. In this thesis, we address the influence of the operating system scheduler on software performance in symmetric multiprocessing environments.},
  author = {Jens Happe},
  doi = {10.5445/KSP/1000011806},
  editors = {Ralf Reussner},
  isbn = {978-3-86644-381-5},
  month = {July},
  publisher = {Universit{\"a}tsverlag Karlsruhe},
  series = {The Karlsruhe Series on Software Design and Quality},
  title = {{P}redicting {S}oftware {P}erformance in {S}ymmetric {M}ulti-core and {M}ultiprocessor {E}nvironments},
  volume = {3},
  year = {2009}
}

@inbook{koziolek2008f,
  abstract = {Some performance metrics are specific for certain domains or are used differently under different circumstances. In the following, performance metrics for Internet-based systems and embedded systems will be described.},
  author = {Heiko Koziolek and Jens Happe},
  booktitle = {Dependability Metrics},
  chapter = {{P}erformance {M}etrics for {S}pecific {D}omains},
  pages = {233-240},
  publisher = {Springer-Verlag Berlin Heidelberg},
  series = {Lecture Notes in Computer Science},
  title = {{D}ependability {M}etrics},
  url = {http://www.springerlink.com/content/t13718l56531335p/fulltext.pdf},
  volume = {4909},
  year = {2008}
}

@book{reussner2016a,
  author = {Reussner, Ralf H. and Becker, Steffen and Happe, Jens and Heinrich, Robert and Koziolek, Anne and Koziolek, Heiko and Kramer, Max and Krogmann, Klaus},
  title = {Modeling and Simulating Software Architectures -- The Palladio Approach},
  publisher = {MIT Press},
  month = {October},
  year = {2016},
  address = {Cambridge, MA},
  isbn = {9780262034760},
  pagetotal = {408},
  abstract = {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.},
  url = {http://mitpress.mit.edu/books/modeling-and-simulating-software-architectures},
  tags = {book}
}