Konto erstellenAnmelden

Frühere Suchanfragen

Keine früheren Suchanfragen

Suchoptionen

Nur verfügbar, wenn angemeldet.
social.anoxinon.de ist einer von vielen unabhängigen Mastodon-Servern, mit dem du dich im Fediverse beteiligen kannst.
Die offizielle Mastodon Instanz des Vereins Anoxinon e.V.

Verwaltet von:

Serverstatistik:

1,1 Tsd.
aktive Profile

social.anoxinon.de: ÜberProfilverzeichnisDatenschutzerklärung

Mastodon: ÜberApp herunterladenTastenkombinationenQuellcode anzeigenv4.3.7

#casestudy

1 Beitrag1 Beteiligte*r0 Beiträge heute
Öffentlich
InfoQ

Ever wondered how #PrimeVideo optimized for millions of devices?

Alexandru Ene, Principal Engineer in Prime Video at Amazon, shares how Prime Video harnessed #RustLang & #WebAssembly to build a faster, more capable Prime Video app, unlocking features that JavaScript & React couldn’t handle.

Dive into the details – watch the full #InfoQ video 👉 bit.ly/4iXO2D2

📄 #transcript included

#SoftwareDevelopment#CaseStudy#Amazon
Öffentlich
💧🌏 Greg Cocks

A Site Selection Framework For Urban Power Substation At Micro-Scale Using Spatial Optimization Strategy And Geospatial Big Data
--
doi.org/10.1111/tgis.13093 <-- shared paper
--
“In this study, [they] model spatiotemporal heterogeneity and incorporate it into optimizing the location of substations. The optimized substation placement ensures electrical service coverage for over 99% of the area during peak power usage seasons, compared to the current coverage of 72%...”
#GIS #spatial #mapping #spatialanalysis #spatiotemporal #siting #demand #electricity #heterogeneity #substations #powertransmission #electricalpower #distrubition #service #city #urbanisation #extremeweather #model #modeling #parameters #factors #energycrisis #energy #urbanplanning #routing #outages #framework #UrbanPS #bigdata #AI #machinelearning #Pingxiang #Jiangxi #China #casestudy #coverage #utilisation #dynamic #load #loading #loadbalancing

Öffentlich
Jan R. Boehnke

Interesting #CaseStudy (New Zealand) investigating feasibility, direct costs, total time required to access administrative datasets for outcome assessments in #RCT follow-ups. Data linkage was feasible, but the evaluation of the costs vs. benefits (e.g., such as optimising the assessment methods if primary data are collected) depended on the cohort size:
bmcmedresmethodol.biomedcentra

BioMed CentralTime and cost of linking administrative datasets for outcomes assessment in a follow-up study of participants from two randomised trials - BMC Medical Research MethodologyBackground For the follow-up of participants in randomised trials, data linkage is thought a more cost-efficient method for assessing outcomes. However, researchers often encounter technical and budgetary challenges. Data requests often require a significant amount of information from researchers, and can take several years to process. This study aimed to determine the feasibility, direct costs and the total time required to access administrative datasets for assessment of outcomes in a follow-up study of two randomised trials. Methods We applied to access administrative datasets from New Zealand government agencies. All actions of study team members, along with their corresponding dates, were recorded prospectively for accessing data from each agency. Team members estimated the average time they spent on each action, and invoices from agencies were recorded. Additionally, we compared the estimated costs and time required for data linkage with those for obtaining self-reported questionnaires and conducting in-person assessments. Results Eight agencies were approached to supply data, of which seven gave approval. The time from first enquiry to receiving an initial dataset ranged from 96 to 854 days. For 859 participants, the estimated time required to obtain outcome data from agencies was 1,530 min; to obtain completed self-reported questionnaires was 11,025 min; and to complete in-person assessments was 77,310 min. The estimated total costs were 20,827 NZD for data linkage, 11,735 NZD for self-reported questionnaires, and 116,085 NZD for in-person assessments. Using this data, we estimate that for a cohort of 100 participants, the costs would be similar for data linkage and in-person assessments. For a cohort of 5,000 participants, we estimate that costs would be similar for data linkage and questionnaires, but ten-fold higher for in-person assessments. Conclusions Obtaining administrative datasets demands a substantial amount of time and effort. However, data linkage is a feasible method for outcome ascertainment in follow-up studies in New Zealand. For large cohorts, data linkage is likely to be less costly, whereas for small cohorts, in-person assessment has similar costs but is likely to be faster and allows direct assessment of outcomes.
Öffentlich
InfoQ

Deep dive into #Netflix’s Distributed Counter Abstraction - a scalable service that tracks user interactions, feature usage, and business performance metrics with low latency globally.

“At Netflix, our counting use cases include tracking millions of user interactions, monitoring how often specific features or experiences are shown to users, and counting multiple facets of data during A/B test experiments, among others.”

Learn more: bit.ly/49tO41Z

#InfoQ#CaseStudy#DistributedSystems
Öffentlich
InfoQ

#CaseStudy - Dive into how Livi navigated the complexities of transitioning MJog - a legacy healthcare system - to a cloud-native architecture.

💡 Key takeaway: Transitioning from legacy systems to cloud-based microservices isn’t a one-off project — it’s an ongoing journey of adaptation and growth.

Read the #InfoQ article by Leander Vanderbijl to explore more!

🔗 bit.ly/48VA54K

#CloudComputing#CloudArchitecture#LegacyCode
EntdeckenLive-Feeds
Über