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Patterns in the Chaos—A Study of Performance Variation and Predictability in Public IaaS Clouds
Philipp Leitner, Jürgen Cito
Article No.: 15
Benchmarking the performance of public cloud providers is a common research topic. Previous work has already extensively evaluated the performance of different cloud platforms for different use cases, and under different constraints and experiment...
This article introduces a dynamic cloud-based marketplace of near-realtime human sensing data (MARSA) for different stakeholders to sell and buy near-realtime data. MARSA is designed for environments where information technology (IT)...
Mining and Quality Assessment of Mashup Model Patterns with the Crowd: A Feasibility Study
Carlos Rodríguez, Florian Daniel, Fabio Casati
Article No.: 17
Pattern mining, that is, the automated discovery of patterns from data, is a mathematically complex and computationally demanding problem that is generally not manageable by humans. In this article, we focus on small datasets and study whether it...
rSYBL: A Framework for Specifying and Controlling Cloud Services Elasticity
Georgiana Copil, Daniel Moldovan, Hong-Linh Truong, Schahram Dustdar
Article No.: 18
Cloud applications can benefit from the on-demand capacity of cloud infrastructures, which offer computing and data resources with diverse capabilities, pricing, and quality models. However, state-of-the-art tools mainly enable the user to specify...
Irony Detection in Twitter: The Role of Affective Content
Delia Irazú Hernańdez Farías, Viviana Patti, Paolo Rosso
Article No.: 19
Irony has been proven to be pervasive in social media, posing a challenge to sentiment analysis systems. It is a creative linguistic phenomenon where affect-related aspects play a key role. In this work, we address the problem of detecting irony...
Model-Based Collaborative Personalized Recommendation on Signed Social Rating Networks
Gianni Costa, Riccardo Ortale
Article No.: 20
Recommendation on signed social rating networks is studied through an innovative approach. Bayesian probabilistic modeling is used to postulate a realistic generative process, wherein user and item interactions are explained by latent factors,...
Dynamic and Efficient Private Keyword Search over Inverted Index--Based Encrypted Data
Rui Zhang, Rui Xue, Ting Yu, Ling Liu
Article No.: 21
Querying over encrypted data is gaining increasing popularity in cloud-based data hosting services. Security and efficiency are recognized as two important and yet conflicting requirements for querying over encrypted data. In this article, we...