@inproceedings{11932bdfb9214bb1bf9c0b5c9691c69b,
title = "Specification and quantitative analysis of probabilistic cloud deployment patterns",
abstract = "Cloud computing is a new technological paradigm offering computing infrastructure, software and platforms as a pay-as-you-go, subscription-based service. Many potential customers of cloud services require essential cost assessments to be undertaken before transitioning to the cloud. Current assessment techniques are imprecise as they rely on simplified specifications of resource requirements that fail to account for probabilistic variations in usage. In this paper, we address these problems and propose a new probabilistic pattern modelling (PPM) approach to cloud costing and resource usage verification. Our approach is based on a concise expression of probabilistic resource usage patterns translated to Markov decision processes (MDPs). Key costing and usage queries are identified and expressed in a probabilistic variant of temporal logic and calculated to a high degree of precision using quantitative verification techniques. The PPM cost assessment approach has been implemented as a Java library and validated with a case study and scalability experiments.",
keywords = "Cloud computing, costing analysis, formal modelling and specification, formal specification languages, formal verification methods, Markov processes, probabilistic model checking, resource usage patterns",
author = "Kenneth Johnson and Simon Reed and Radu Calinescu",
year = "2012",
doi = "10.1007/978-3-642-34188-5_14",
language = "English",
isbn = "978-3-642-34187-8",
series = "Lecture notes in computer science",
publisher = "Springer",
pages = "145--159",
editor = "Kerstin Eder and Jo{\~a}o Louren{\c c}o and Onn Shehory",
booktitle = "Hardware and software : verification and testing",
address = "Germany",
note = "7th International Haifa Verification Conference, HVC 2011 ; Conference date: 06-12-2011 Through 08-12-2011",
}