Evidence map›Paper›PMID 35161745›Full record

ArticleSensors (Basel, Switzerland)2022

Performance Evaluation of Information Gathering from Edge Devices in a Complex of Smart Buildings.

Florin Lăcătușu, Anca Daniela Ionita, Marian Lăcătușu, Adriana Olteanu

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Florin LăcătușuAutomation and Industrial Informatics Department, University Politehnica of Bucharest, 060042 Bucharest, Romania.ORCID 0000-0001-6927-0517
Anca Daniela IonitaAutomation and Industrial Informatics Department, University Politehnica of Bucharest, 060042 Bucharest, Romania.ORCID 0000-0002-8966-6196
Marian LăcătușuAutomation and Industrial Informatics Department, University Politehnica of Bucharest, 060042 Bucharest, Romania.ORCID 0000-0002-0003-5946
Adriana OlteanuAutomation and Industrial Informatics Department, University Politehnica of Bucharest, 060042 Bucharest, Romania.ORCID 0000-0002-7057-7281
Universitatea Națională de Știință și Tehnologie Politehnica București · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of monitoring systems based on cloud computing has become common for smart buildings. However, the dilemma of centralization versus decentralization, in terms of gathering information and making the right decisions based on it, remains. Performance, dependent on the system design, does matter for emergency detection, where response time and loading behavior become very important. We studied several design options based on edge computing and containers for a smart building monitoring system that sends alerts to the responsible personnel when necessary. The study evaluated performance, including a qualitative analysis and load testing, for our experimental settings. From 700+ edge nodes, we obtained response times that were 30% lower for the public cloud versus the local solution. For up to 100 edge nodes, the values were better for the latter, and in between, they were rather similar. Based on an interpretation of the results, we developed recommendations for five real-world configurations, and we present the design choices adopted in our development for a complex of smart buildings.

Indexed as

Cloud ComputingComputersMonitoring, Physiologiccontainerizationedge computingInternet of Thingsperformance testingsensor systems

Identifiers

PMID35161745
PMCPMC8838296
OpenAlexW4210761475

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.