Collaborative filtering recommender systems have become essential to many Internet services, providing, for instance, book recommendations at Amazon's online e-commerce service, music recommendation in Spotify and movie recommendation in Netflix. Matrix factorization and Restricted Boltzmann Machines (RBMs) are two popular methods for implementing recommender systems, both providing superior ...

Simulating large bodies of entities in various environments is an old science that traces back decades in computer science. There are existing software frameworks with well built mathematical models for approximating various environments. These frameworks are however built on imperative programming fundamentals often following a object oriented paradigm. This thesis presents Particular a 3d ...

The Arctic Tundra in the far northern hemisphere is one of ecosystems that are most affected by the climate changes in the world today. Five Fram Center institutions developed a long-term research project called Climate-ecological Observatory for Arctic Tundra (COAT). Their goal is to create robust observation systems which enable documentation and understanding of climate change impacts on the ...

Vortex is a new multiprocessor operating system kernel intended for emerging Internet service applications. The architecture is based on SEDA's staged computational model. Vortex provides mechanisms for performance isolation and dynamic adaptation. Performance results validate that the resource control mechanisms of Vortex are effective, and that Vortex significantly outperforms Linux on single-threaded ...

The Unified Parallel C (UPC) programming language offers parallelism via logically partitioned shared memory, which typically spans physically disjoint memory subsystems. One convenient feature of UPC is its ability to automatically execute between-thread data movement, such that the entire content of a shared data array appears to be freely accessible by all the threads. The programmer friendliness, ...

This thesis aims to investigate the role of edge computing in a smart nudging system. A smart nudging system has requirements for efficient data processing of personal and context-aware data from heterogeneous sources. Furthermore, a smart nudging system needs to protect and preserve the privacy of data within the system. Edge computing has been proposed as a computing paradigm in a smart nudging ...

Pesto is a storage system geared towards a computing model where private machines play a pivotal role. Sharing of data is crucial, both between partners, and between the many devices owned by individual users. Replication is the only sensible means to provide ubiquitous access to private data. However, without provisions, replication endangers privacy by enlarging the Trusted Computing Base. The ...

A common denominator of modern hospitals is a variety of communication problems. In particular, interruptions from mobile communication devices are a cause of great concern for many physicians. Objective: To characterize how interruptions from mobile devices disturb physicians in their daily work. The gathered knowledge will be subsequently used as input for the design and development of a ...

When working with sensitive data in a distributed setting, secure multi-partycomputations(SMC) protocols aims to preserve the privacy of participants. Acore aspect of any SMC protocol is secure communication between participants.Based on the NOOP and SNOOP middleware with a combination of secret keyand public-key cryptography we design and implement a public key infrastruc-ture(PKI) to share signed ...

Performance isolation is essential to operating systems shared by dependable services. Unfortunately, most such systems, including real-time operating systems and VMMs, only fairly divide and account for CPU cycles. We submit that dependable services require specifying and enforcing policies for all resources, and that current metrics for evaluating fair sharing are insufficient. This paper proposes ...