In this thesis we study two interesting aspects of the problem of Entity Resolution (ER). The goal of ER is to identify and merge records that refer to the same underlying entity. The recent rise in adoption of social networks (Facebook, Google+, Twitter, and others) introduces new issues and twists to the traditional ER problem: crowdsourcing and limited information. We first study a hybrid hu...

This thesis presents a virtual disk cluster called END, the Expandable Network Disk. END aggregates storage on a cluster of servers into a single virtual disk. END'S main goals are to offer good performance during normal operation, and efficiently handle changes in the cluster membership. END achieves these goals using a two-layer design, in which storage "bricks," servers that consist of CPU, ...

With the exponential growth of moving objects data to the Gigabyte range, it has become critical to develop effective techniques for indexing, updating, and querying these massive data sets. To meet the high update rate as well as low query response time requirements of moving object applications, this paper takes a novel approach in moving object indexing. In our approach we do not require a s...

Real-time information about the state (location, speed, direction) of other vehicles in the system is critical for both safety and navigation applications in future intelligent transportation systems. However, reliably obtaining this information over multiple hops in a wireless network while avoiding network congestion in the shared channel poses a significant challenge. In this paper, we descr...

Running, or any aerobic training in moderation, has a positive effect on health. There is a point of diminishing returns, where chronic stress from overtraining, which is common in runners, may be linked to problems in the adrenal gland. Overtraining Syndrome (OS) has been linked with adrenal insufficiency. There is a direct link between stress and the adrenal glands, and the physical stress of...

Cooperative management of data is a difficult challenge. In the absence of a central authority, there is often no single data format, and users may not even agree on what is true and what is not. The data is typically not static and will evolve over time, leading to issues of staleness and conflicting changes. Dedicated machines to run a management system may not be available, and furthermore t...

Real-time machine learning (ML) has recently attracted significant interest due to its potential support instantaneous learning, adaptation, and decision making in a wide range of application domains, including self-driving vehicles, intelligent transportation, industry automation. In this paper, we investigate real-time ML federated edge intelligence (FEI) system, an computing system that impl...

AIMS To determine the bacterial species associated with an outbreak of spoilage in commercially bottled red wine where the bottles had been stored in an upright vertical compared with horizontal position. METHODS AND RESULTS Bottled wines comprising Cabernet Sauvignon, Pinot Noir, Shiraz, Merlot and blended red varieties were examined for visible spoilage. Analysis of visibly affected and non...

Title of dissertation: OPTIMIZATION AND EVALUATION OF SERVICE SPEED AND RELIABILITY IN MODERN CACHING APPLICATIONS Omri Bahat, Doctor of Philosophy, 2006 Dissertation directed by: Professor Armand M. Makowski Department of Electrical and Computer Engineering and the Institute for Systems Research The performance of caching systems in general, and Internet caches in particular, is evaluated by m...

ions for Machine Learning Based on my experience in building systems and developing high performance algorithms, I learned that using an appropriate programming model was crucial for both improving usability and for achieving high performance. Early efforts in implementing large scale machine learning algorithms were based on the data parallel model provided by systems like MapReduce. However i...