The author hereby declares that no third party was involved in writing this thesis. All sources and texts needed to do this work are listed in the bibliography. Ich erkläre hiermit, daß die vorliegende Diplomarbeit von mir selbständig verfaßt wurde. Alle benötigten Texte und Quellen sind im Literaturverzeichnis aufgeführt.

Mental well-being is an intangible, subjective perception of our own emotions and cognitive capabilities. With the rise of social networks, connectivity and media consumption have seen dramatic changes, and serious games have been applied in many different ways as an effective approach for improving mental well-being. In this work, we focus on understanding how mental well-being relates to peop...

We report our experiences in porting and tuning the Apache Spark data analytics framework on the Cray XC30 (Edison) and XC40 (Cori) systems, installed at NERSC. We find that design decisions made in the development of Spark are based on the assumption that Spark is constrained primarily by network latency, and that disk I/O is comparatively cheap. These assumptions are not valid on Edison or Co...

from leave, to the Fatelipur district. Henderson, Surgn.-Capt. S. H., Supernumerary Civil Surgn., Fatehpur, on relief by Surgn.-Major Gr. A. Emerson, to be attached for duty to the Central Prison, Bareilly, as a temporary measure. Chaytor-YVhite, Surgn.-Capt. J., Supernumerary Civil Surgn., Mirzapur, on relief by Surgn.-Major P. J. Freyer, is attached to the Allahabad district as a temporary me...

We demonstrate sparqlgx: our implementation of a distributed sparql evaluator. We show that sparqlgx makes it possible to evaluate sparql queries on billions of triples distributed across multiple nodes, while providing attractive performance figures.

A significant part of the data produced every day by online services is structured as a graph. Therefore, there is the need for efficient processing and analysis solutions for large scale graphs. Among the others, the balanced graph partitioning is a well known NP-complete problem with a wide range of applications. Several solutions have been proposed so far, however most of the existing state-...

Solving compressed sensing problems relies on the properties of sparse signals. It is commonly assumed that the sparsity s needs to be less than one half of the spark of the sensing matrix A, and then the unique sparsest solution exists, and recoverable by l1-minimization or related procedures. We discover, however, a measure theoretical uniqueness exists for nearly spark-level sparsity from co...

Querying very large RDF data sets in an efficient and scalable manner requires parallel query plans combined with appropriate data distribution strategies. Several innovative solutions have recently been proposed for optimizing data distribution with or without predefined query workloads. This paper presents an in-depth analysis and experimental comparison of five representative RDF data distri...

SUMMARY The electromagnetic fields emitted from an electrostatic discharge (ESD) event occurring between charged metals cause seriously damage high-tech equipment. In order to clarify the generation mechanism of such ESD fields and also to reduce them, we previously proposed a finite-difference time-domain (FDTD) algorithm based on a delta-gap feeding method and a frequency dispersion character...

Today, big and small organizations alike collect huge amounts of data, and they do so with one goal in mind: extract "value" through sophisticated exploratory analysis, and use it as the basis to make decisions as varied as personalized treatment and ad targeting. To address this challenge, we have developed Berkeley Data Analytics Stack (BDAS), an open source data analytics stack for big data ...