Evidence map›Paper›PMID 42163451›Full record

ArticleTheScientificWorldJournal2026

Sustainable Control of Carbon Emissions and Energy Consumption Through a Green Data Center Approach.

Yasir Afzal, Naila Nawaz, Abdullah Ayub Khan, Muhammad Jawad Yousaf, Muhammad Zohaib Khan, Erssa Arif, Muqaddas Salahuddin, Mohamad Afendee Mohamed, Sajid Ullah

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in TheScientificWorldJournal, 2026. 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
–field-weighted citation impact
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.

  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

9 authors.

Yasir AfzalFaculty of Computer Science, Riphah International University, Faisalabad, Pakistan, riphah.edu.pk.
Naila NawazDepartment of Computer Science, NUML Faisalabad Campus, Faisalabad, Pakistan.ORCID https://orcid.org/0009-0007-0230-4744
Abdullah Ayub KhanDepartment of Computer Science, Bahria University Karachi Campus, Karachi, Pakistan, bahria.edu.pk/.ORCID https://orcid.org/0000-0003-2838-7641
Muhammad Jawad YousafFaculty of Computer Science, Riphah International University, Faisalabad, Pakistan, riphah.edu.pk.
Muhammad Zohaib KhanDepartment of Information Technology, Shaheed Mohtarma Benazir Bhutto Institute of Trauma, Karachi, Pakistan.
Erssa ArifFaculty of Computer Science, Riphah International University, Faisalabad, Pakistan, riphah.edu.pk.
Muqaddas SalahuddinFaculty of Computer Science and Information Technology, Superior University, Lahore, Pakistan, superior.edu.pk.
Mohamad Afendee MohamedFaculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut Campus, Besut, Malaysia, unisza.edu.my.ORCID https://orcid.org/0000-0001-5985-3970
Sajid UllahDepartment of Water Resources and Environmental Engineering, Nangarhar University, Jalalabad, Nangarhar, Afghanistan.ORCID https://orcid.org/0000-0002-5079-3761

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data center management, the foundation of contemporary cloud computing, has made energy saving a top priority. Among other difficulties, the placement of virtual machines (VMs) has a major impact on data center resource and energy usage. Assigning VMs to physical machines (PMs) is a challenging NP-hard problem, especially in large-scale infrastructures where it is computationally infeasible to find an ideal solution. To solve the VM placement problem, the proposed study formulates it as a restricted optimization problem with the goal of preserving performance while lowering energy consumption. The explosive growth of data centers has resulted in higher energy consumption and higher carbon dioxide (CO

Indexed as

data center (DC)energy efficiency (EE)energy optimization (EO)genetic algorithm (GA)physical machines (PMs)virtual machine (VM)

Identifiers

PMID42163451
PMCPMC13191827

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.