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Dissertations / Theses on the topic 'Data Storage Costs'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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1

Tsur, Ofer. "TRENDS IN COTS STORAGE SOLUTIONS FOR DATA ACQUISITION SYSTEMS." International Foundation for Telemetering, 2005. http://hdl.handle.net/10150/604883.

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ITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevada<br>This paper discusses data storage requirements for data acquisition systems, and evaluates the ability of three of the most popular COTS data storage solutions - mechanical disk, ruggedized mechanical disk and solid-state flash disk - to meet these requirements today and in the future. It addresses issues of capacity, data reliability, endurance, form factor, cost and security. It concludes wi
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2

Tsur, Ofer. "RUGGED AND RELIABLE COTS STORAGE SOLUTIONS FOR DATA ACQUISITION SYSTEMS." International Foundation for Telemetering, 2003. http://hdl.handle.net/10150/605376.

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International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>Due to the rotating mechanism in mechanical disks, they cannot provide the top-level reliability required for operation in harsh military environments. This paper describes three COTS alternatives to mechanical disks: ruggedized mechanical disks, solid-state flash disks and stacked PC Cards. It discusses their cost-effectiveness and aspects such as environmental specifications, endurance and data reliability. It highlights several methods used by flash disks
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3

Souza, Oliveira Camila Helena. "Reliability and cost efficiency in coding-based in-network data storage and data retrieval for IoT/WSNs." Thesis, Paris Est, 2015. http://www.theses.fr/2015PESC1134/document.

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Dans cette thèse, nous nous intéressons à cette gestion des données dans les réseaux de capteurs sans fil intégrés dans un contexte IoT. Plus précisément, nous aborderons la problématique du stockage des données au sein même du réseau de capteurs en se posant la question suivante : Comment stocker provisoirement les données dans le réseau de capteurs de sorte que ces données soient facilement accessible par les consommateurs tout en assurant le meilleur compromis entre la fiabilité de livraison des donnés et la préservation des ressources énergétiques des capteurs ?Il s'agit dans un premier te
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4

Ikken, Sonia. "Efficient placement design and storage cost saving for big data workflow in cloud datacenters." Thesis, Evry, Institut national des télécommunications, 2017. http://www.theses.fr/2017TELE0020/document.

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Les workflows sont des systèmes typiques traitant le big data. Ces systèmes sont déployés sur des sites géo-distribués pour exploiter des infrastructures cloud existantes et réaliser des expériences à grande échelle. Les données générées par de telles expériences sont considérables et stockées à plusieurs endroits pour être réutilisées. En effet, les systèmes workflow sont composés de tâches collaboratives, présentant de nouveaux besoins en terme de dépendance et d'échange de données intermédiaires pour leur traitement. Cela entraîne de nouveaux problèmes lors de la sélection de données distri
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5

Ikken, Sonia. "Efficient placement design and storage cost saving for big data workflow in cloud datacenters." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2017. http://www.theses.fr/2017TELE0020.

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Les workflows sont des systèmes typiques traitant le big data. Ces systèmes sont déployés sur des sites géo-distribués pour exploiter des infrastructures cloud existantes et réaliser des expériences à grande échelle. Les données générées par de telles expériences sont considérables et stockées à plusieurs endroits pour être réutilisées. En effet, les systèmes workflow sont composés de tâches collaboratives, présentant de nouveaux besoins en terme de dépendance et d'échange de données intermédiaires pour leur traitement. Cela entraîne de nouveaux problèmes lors de la sélection de données distri
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6

Driver, Linda C. "Cost-benefit analysis of bedside terminals." Virtual Press, 1994. http://liblink.bsu.edu/uhtbin/catkey/917026.

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Bedside terminals are an approach to data entry that is maximally effective, due to capture at the point of care, to meet the challenges facing nursing today in relation to information documentation. The purpose of this evaluation research study was to determine if bedside terminals are justifiable though a cost-benefit analysis.The General Systems Theory, which was formulated by Ludwig von Bertalanffy in the late 1920's, was the theoretical framework used for this study (Putt, 1978).A non-standardized checklist of factors was developed by the researcher to evaluate the associated costs. relat
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7

Browning, Mary. "Cost-benefit analysis of bedside computers." Virtual Press, 1994. http://liblink.bsu.edu/uhtbin/catkey/917025.

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Bedside computer terminals are an approach to data entry that is maximally effective to meet the challenges facing nursing today and process hospital information. The purpose of this evaluation research study was to determine if bedside computers are justifiable through a cost-benefit analysis. Costbenefit analysis was done to determine whether the benefits outweigh the costs involved in implementing a bedside computer system.The General Systems Theory formulated by Ludwig von Betalanaffy was the theoretical framework utilized for this project. A non-standardized checklist of factors was devel
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8

Wiren, Jakob. "Data Storage Cost Optimization Based on Electricity Price Forecasting with Machine Learning in a Multi-Geographical Cloud Environment." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-152250.

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As increased demand of cloud computing leads to increased electricity costs for cloud providers, there is an incentive to investigate in new methods to lower electricity costs in data centers. Electricity price markets suffer from sudden price spikes as well as irregularities between different geographical electricity markets. This thesis investigates in whether it is possible to leverage these volatilities and irregularities between different electricity price markets, to offload or move storage in order to reduce electricity price costs for data storage. By forecasting four different electri
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9

Zalet, Ayman. "Vklass datalagring : En studie om datalagring på ett kostands- och prestandaeffektivt sätt." Thesis, KTH, Data- och elektroteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-181892.

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Studien som utförs i detta examensarbete behandlar ämnet datalagring för applikationen Vklass. Problemet som studeras i detta arbete består i att det varje månad inkommer ett stort antal filer till applikationen som lagras på en server lokalt i Stockholm där regelbun-den säkerhetskopiering görs till en annan server. Den implementerade datalagringslösning-en innebär att servern som lagrar data växer ständigt och utan särskild struktur då filerna lagras i en och samma mapp, vilket i sin tur innebär en mer komplex och mindre överskåd-lig lagring av filerna i lagringsmedierna samtidigt som prestan
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10

Gkikas, Nikolaos. "Data Transfer and Management through the IKAROS framework : Adopting an asynchronous non-blocking event driven approach to implement the Elastic-Transfer's IMAP client-server connection." Thesis, KTH, Radio Systems Laboratory (RS Lab), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166740.

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Given the current state of input/output (I/O) and storage devices in petascale systems, incremental solutions would be ineffective when implemented in exascale environments. According to the "The International Exascale Software Roadmap", by Dongarra, et al. existing I/O architectures are not sufficiently scalable, especially because current shared file systems have limitations when used in large-scale environments. These limitations are: Bandwidth does not scale economically to large-scale systems, I/O traffic on the high speed network can impact on and be influenced by other unrelated jobs, a
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11

Hallqvist, Karl. "Högtempererat borrhålslager för fjärrvärme." Thesis, Uppsala universitet, Naturresurser och hållbar utveckling, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-231586.

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The district heating load is seasonally dependent, with a low load during periods of high ambient temperature. Thermal energy storage (TES) has the potential to shift heating loads from winter to summer, thus reducing cost and environmental impact of District Heat production. In this study, a concept of high temperature borehole thermal energy storage (HT-BTES) together with a pellet heating plant for temperature boost, is presented and evaluated by its technical limitations, its ability to supply heat, its function within the district heating system, as well as its environmental impact and ec
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12

Pereira, Inês Correia. "The tradeoff between data granularity and storage costs." Master's thesis, 2019. http://hdl.handle.net/10362/118909.

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In the increasinglytechnology-dependent world, data is one of the key strategic resources for organizations. Often, the challengedecision-makers face is to determine how much data to collect and store. In this thesis, this challenge is studied in the context of a collection of mobile signaling data for studying tourists’ behavioral patterns.The objective is to analyze to what extent can individual trajectories be reconstructed if only a fraction of the original location data is preserved, providing insights about the tradeoff between the volume of data available and the accuracy
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13

Pereira, Inês Correia. "How much data is enough to track tourists? The tradeoff between data granularity and storage costs." Master's thesis, 2020. http://hdl.handle.net/10362/106282.

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Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence<br>In the increasingly technology-dependent world, data is one of the key strategic resources for organizations. Often, the challenge that many decision-makers face is to determine which data and how much to collect, and what needs to be kept in their data storage. The challenge is to preserve enough information to inform decisions but doing so without overly high costs of storage and data processing cost. In this thesis,
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14

Mihailescu, Madalin. "Low-cost Data Analytics for Shared Storage and Network Infrastructures." Thesis, 2013. http://hdl.handle.net/1807/35909.

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Data analytics used to depend on specialized, high-end software and hardware platforms. Recent years, however, have brought forth the data-flow programming model, i.e., MapReduce, and with it a flurry of sturdy, scalable open-source software solutions for analyzing data. In essence, the commoditization of software frameworks for data analytics is well underway. Yet, up to this point, data analytics frameworks are still regarded as standalone, em dedicated components; deploying these frameworks requires companies to purchase hardware to meet storage and network resource demands, and system adm
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15

Luo, Jeff Yucong. "Secure Cloud Storage." Thesis, 2014. http://hdl.handle.net/10012/8509.

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The rapid growth of Cloud based services on the Internet invited many critical security attacks. Consumers and corporations who use the Cloud to store their data encounter a difficult trade-off of accepting and bearing the security, reliability, and privacy risks as well as costs in order to reap the benefits of Cloud storage. The primary goal of this thesis is to resolve this trade-off while minimizing total costs. This thesis presents a system framework that solves this problem by using erasure codes to add redundancy and security to users’ data, and by optimally choosing Cloud storage pr
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16

Lozano, Adolfo. "Analysis of a novel thermoelectric generator in the built environment." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-08-4131.

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This study centered on a novel thermoelectric generator (TEG) integrated into the built environment. Designed by Watts Thermoelectric LLC, the TEG is essentially a novel assembly of thermoelectric modules whose required temperature differential is supplied by hot and cold streams of water flowing through the TEG. Per its recommended operating conditions, the TEG nominally generates 83 Watts of electrical power. In its default configuration in the built environment, solar-thermal energy serves as the TEG’s hot stream source and geothermal energy serves as its cold stream source. Two systems-lev
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