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Limitations of CAP theorem imply that if availability is desired in the presence of network partitions, one must sacrifice sequential consistency, a consistency model that is more natural for system design. We focus on the problem of what a…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-01-24 Duong Nguyen , Aleksey Charapko , Sandeep Kulkarni , Murat Demirbas

In order to increase availability in a distributed system some or all of the data items are replicated and stored at separate sites. This is an issue of key concern especially since there is such a proliferation of wireless technologies and…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-06-11 Joel M. Crichlow , Stephen J. Hartley , Michael Hosein

High performance computing data is surging fast into the exabyte-scale world, where tape libraries are the main platform for long-term durable data storage besides high-cost DNA. Tape libraries are extremely hard to model, but accurate…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-06-13 Suayb S. Arslan , James Peng , Turguy Goker

Internet-scale web applications are becoming increasingly storage-intensive and rely heavily on in-memory object caching to attain required I/O performance. We argue that the emerging serverless computing paradigm provides a well-suited,…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-29 Ao Wang , Jingyuan Zhang , Xiaolong Ma , Ali Anwar , Lukas Rupprecht , Dimitrios Skourtis , Vasily Tarasov , Feng Yan , Yue Cheng

Modern logistics systems tend to generate continuous streams of data from sources such as GPS, IoT sensors, and logistics management systems. The aggregation, processing, and analysis of data have become vital for monitoring operations,…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-29 Angelos Dorotheos Chatzopoulos , Babis Andreou , Kakia Panagidi , Stathes Hadjiefthymiades

Large scale initiatives such as the Human Genome Project, Structural Genomics, and individual research teams have provided large deposits of genomic and proteomic data. The transfer of data to knowledge has become one of the existing…

Databases · Computer Science 2019-11-21 Casey A Cole , Christopher Ott , Diego Valdes , Homayoun Valafar

While "Intent-oriented programming" (or "Vibe Coding") redefines software engineering, existing code agents remain tethered to static code snapshots. Consequently, they struggle to model the critical information embedded in the temporal…

Machine Learning · Computer Science 2026-03-17 Yi-Xuan Deng , Xiaoqin Liu , Yi Zhang , Guo-Wei Yang , Shuojin Yang

Suffix Array (SA) is a cardinal data structure in many pattern matching applications, including data compression, plagiarism detection and sequence alignment. However, as the volumes of data increase abruptly, the construction of SA is not…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-16 Hsiang-Huang Wu , Chien-Min Wang , Hsuan-Chi Kuo , Wei-Chun Chung , Jan-Ming Ho

Traditional enterprise warehouse solutions center around an analytical database system that is monolithic and inflexible: data needs to be extracted, transformed, and loaded into the rigid relational form before analysis. It takes years of…

Databases · Computer Science 2012-09-10 Reynold S. Xin

In this thesis we examine the method of counting $B\overline{B}$ events produced in the BaBar experiment. The original method was proposed in 2000, but improvements to track reconstruction and our understanding of the detector since that…

High Energy Physics - Experiment · Physics 2008-12-11 Grant Duncan McGregor

The BaBar experiment is the particle detector at the PEP-II B-factory facility at the Stanford Linear Accelerator Center. During the summer shutdown 2002 the BaBar Event Building and Level-3 trigger farm were upgraded from 60 Sun Ultra-5…

With the growing needs of online A/B testing to support the innovation in industry, the opportunity cost of running an experiment becomes non-negligible. Therefore, there is an increasing demand for an efficient continuous monitoring…

Machine Learning · Computer Science 2023-04-04 Runzhe Wan , Yu Liu , James McQueen , Doug Hains , Rui Song

By incorporating human workers into the query execution process crowd-enabled databases facilitate intelligent, social capabilities like completing missing data at query time or performing cognitive operators. But despite all their…

Databases · Computer Science 2015-03-20 Joachim Selke , Christoph Lofi , Wolf-Tilo Balke

The increasing reliance on renewable energy generation means that storage may well play a much greater role in the balancing of future electricity systems. We show how heterogeneous stores, differing in capacity and rate constraints, may be…

Optimization and Control · Mathematics 2021-06-14 Stan Zachary , Simon Tindemans , Michael Evans , James Cruise , David Angeli

A common concern in experimental research is the auditability and reproducibility of experiments. Experiments are usually designed, provisioned, managed, and analyzed by diverse teams of specialists (e.g., researchers, technicians and…

Uber's business is highly real-time in nature. PBs of data is continuously being collected from the end users such as Uber drivers, riders, restaurants, eaters and so on everyday. There is a lot of valuable information to be processed and…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-04-02 Yupeng Fu , Chinmay Soman

Databases in the past have helped businesses maintain and extract insights from their data. Today, it is common for a business to involve multiple independent, distrustful parties. This trend towards decentralization introduces a new and…

Databases · Computer Science 2020-08-24 Meihui Zhang , Zhongle Xie , Cong Yue , Ziyue Zhong

The cost of Byzantine Fault Tolerant (BFT) storage is the main concern preventing its adoption in practice. This cost stems from the need to maintain at least 3t+1 replicas in different storage servers in the asynchronous model, so that t…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-02-14 Christian Cachin , Dan Dobre , Marko Vukolic

This work unifies insights from the systems and functional programming communities, in order to enable compositional reasoning about software which is nonetheless efficiently realizable in hardware. It exploits a correspondence between…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-03-18 Thomas Dickerson

Embedded computing systems today increasingly feature resource constraints and workload variability, which lead to uncertainty in resource availability. This raises great challenges to software design and programming in multitasking…

Operating Systems · Computer Science 2008-12-18 Feng Xia , Guosong Tian , Youxian Sun
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