Onward! 2015
Sun 25 - Fri 30 October 2015 Pittsburgh, Pennsylvania, United States
co-located with SPLASH 2015
Thu 29 Oct 2015 13:52 - 14:15 at Grand Station 3-5 - Session the Second Chair(s): Karim Ali

In this paper we challenge the widely accepted practice that web applications must be trusted with user data. We present an alternative model based on logic programming, where user data and applications are equal peers in a shared cloud environment. User data is represented as a set of facts. The application is represented as a set of rules defining how user data is to be processed, but is not given direct access to the data. This way, users remain the owners of their own data, able to determine who can see it and who can modify it. For concreteness, we define a data representation and query language, named Cloudlog, for a new family of NoDatalog databases. We add access control to the language for guaranteeing that the rules provided by the application cannot change the choices made by users. We demonstrate how business logic can be expressed in Cloudlog, and discuss how an efficient Cloudlog-based database can be implemented.

Thu 29 Oct

Displayed time zone: Eastern Time (US & Canada) change

13:30 - 15:00
Session the SecondOnward! Papers at Grand Station 3-5
Chair(s): Karim Ali TU Darmstadt
13:30
22m
Talk
Just-in-Time Data Structures
Onward! Papers
Mattias De Wael Vrije Universiteit Brussel, Stefan Marr INRIA, France, Joeri De Koster Vrije Universiteit Brussel, Jennifer B. Sartor Vrije Universiteit Brussel, Wolfgang De Meuter Vrije Universiteit Brussel
Link to publication DOI
13:52
22m
Talk
Separation of Powers in the Cloud: Where Applications and Users Become Peers
Onward! Papers
David H. Lorenz Open University and Technion IIT, Boaz Rosenan University of Haifa
Media Attached
14:15
22m
Talk
Slimming Languages by Reducing Sugar: A Case for Semantics-Altering Transformations
Onward! Papers
Junsong Li Brown University, Justin Pombrio , Joe Gibbs Politz Swarthmore College, Shriram Krishnamurthi Brown University
Media Attached
14:37
22m
Talk
Musiplectics: Computational Assessment of the Complexity of Music Scores
Onward! Papers
Ethan Holder Virginia Tech, Eli Tilevich Virginia Tech, Amy Gillick Virginia Tech