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ACM Transactions on Internet Technology (TOIT), Volume 16 Issue 3, August 2016

Patterns in the Chaos—A Study of Performance Variation and Predictability in Public IaaS Clouds
Philipp Leitner, Jürgen Cito
Article No.: 15
DOI: 10.1145/2885497

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...

MARSA: A Marketplace for Realtime Human Sensing Data
Tien-Dung Cao, Tran-Vu Pham, Quang-Hieu Vu, Hong-Linh Truong, Duc-Hung Le, Schahram Dustdar
Article No.: 16
DOI: 10.1145/2883611

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
DOI: 10.1145/2903138

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
DOI: 10.1145/2925990

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
DOI: 10.1145/2930663

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
DOI: 10.1145/2934681

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
DOI: 10.1145/2940328

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...