Browsing Computer Science by Title
Now showing items 1127-1146 of 1453
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SafeDS: Safe Data Structures for C++
(University of Waterloo, 2022-09-01)Memory corruption vulnerabilities in low-level languages such as C/C++ have been a problem in computer security for a long time. Accordingly, there has been a wide variety of proposed solutions for detecting or preventing ... -
Safety-Oriented Stability Biases for Continual Learning
(University of Waterloo, 2020-01-24)Continual learning is often confounded by “catastrophic forgetting” that prevents neural networks from learning tasks sequentially. In the case of real world classification systems that are safety-validated prior to ... -
Saving Electrical Energy in Commercial Buildings
(University of Waterloo, 2012-08-27)With the commercial and institutional building sectors using approximately 29% and 34% of all electrical energy consumption in Canada and the United States, respectively, saving electrical energy in commercial and institutional ... -
Scala with Explicit Nulls
(University of Waterloo, 2019-12-20)The Scala programming language unifies the object-oriented and functional styles of programming. One common source of errors in Scala programs is null references. In this dissertation, I present a modification to the Scala ... -
Scalability aspects of data cleaning
(University of Waterloo, 2021-01-27)Data cleaning has become one of the important pre-processing steps for many data science, data analytics, and machine learning applications. According to a survey by Gartner, more than 25% of the critical data in the world's ... -
Scalable and Highly Available Database Systems in the Cloud
(University of Waterloo, 2013-01-10)Cloud computing allows users to tap into a massive pool of shared computing resources such as servers, storage, and network. These resources are provided as a service to the users allowing them to “plug into the cloud” ... -
Scalable and Holistic Qualitative Data Cleaning
(University of Waterloo, 2017-08-14)Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and wrong business decisions. Poor data across businesses and the government cost the ... -
Scalable and Reliable Middlebox Deployment
(University of Waterloo, 2020-05-28)Middleboxes are pervasive in modern computer networks providing functionalities beyond mere packet forwarding. Load balancers, intrusion detection systems, and network address translators are typical examples of middleboxes. ... -
Scalable Emulator for Software Defined Networks
(University of Waterloo, 2015-03-30)Since its inception, Software Defined Network (SDN) has made itself a very appealing architecture for both Data Center and Wide Area networks by offering more automated control through programmability and simplified network ... -
Scalable Informative Rule Mining
(University of Waterloo, 2016-08-10)In this thesis we present SIRUM: a system for Scalable Informative RUle Mining from multi-dimensional data. Informative rules have recently been studied in several contexts, including data summarization, data cube exploration ... -
A Scalable Method for Many Object Fluid-Structure Interaction Simulations
(University of Waterloo, 2022-01-10)Fluid-Structure Interaction (FSI) Simulations are an important technology in many areas of research, including, but not limited to, Computer Graphics, Computational Physics and Engineering. This area is concerned with the ... -
A Scalable Partial-Order Data Structure for Distributed-System Observation
(University of Waterloo, 2001)Distributed-system observation is foundational to understanding and controlling distributed computations. Existing tools for distributed-system observation are constrained in the size of computation that they can observe ... -
Scalable Scientific Computing Algorithms Using MapReduce
(University of Waterloo, 2013-09-03)Cloud computing systems, like MapReduce and Pregel, provide a scalable and fault tolerant environment for running computations at massive scale. However, these systems are designed primarily for data intensive computational ... -
Scaling Machine Learning Data Repair Systems for Sparse Datasets
(University of Waterloo, 2021-01-21)Machine learning data repair systems (e.g. HoloClean) have achieved state-of-the-art performance for the data repair problem on many datasets. However, these systems face significant challenges with sparse datasets. In ... -
Scalpel: Optimizing Query Streams Using Semantic Prefetching
(University of Waterloo, 2005)Client applications submit streams of relational queries to database servers. For simple requests, inter-process communication costs account for a significant portion of user-perceived latency. This trend increases ... -
Schema clustering and retrieval for multi-domain pay-as-you-go data intergration systems
(University of Waterloo, 2010-07-08)A data integration system offers a single interface to multiple structured data sources. Many application contexts (e.g., searching structured data on the web) involve the integration of large numbers of structured data ... -
Scrappy: Using Scrap Material as Infill to Make Fabrication More Sustainable
(ACM Press, 2021-05-06)We present a software system for fused deposition modelling 3D printing that replaces infill material with scrap to reduce material and energy consumption. Example scrap objects include unused 3D prints from prototyping ... -
Second-tier Cache Management to Support DBMS Workloads
(University of Waterloo, 2011-10-24)Enterprise Database Management Systems (DBMS) often run on computers with dedicated storage systems. Their data access requests need to go through two tiers of cache, i.e., a database bufferpool and a storage server cache, ... -
Secure Protocols for Key Pre-distribution, Network Discovery, and Aggregation in Wireless Sensor Networks
(University of Waterloo, 2015-07-21)The term sensor network is used to refer to a broad class of networks where several small devices, called sensors, are deployed in order to gather data and report back to one or more base stations. Traditionally, sensors ... -
Securing Cloud Computations with Oblivious Primitives from Intel SGX
(University of Waterloo, 2017-12-12)We are witnessing a confluence between applied cryptography and secure hardware systems in enabling secure cloud computing. On one hand, work in applied cryptography has enabled efficient, oblivious data-structures and ...