Enhancement in performance of cloud computing task scheduling using optimization strategies DOI
Ramandeep Sandhu, Mohammad Faiz, Harpreet Kaur

и другие.

Cluster Computing, Год журнала: 2024, Номер 27(5), С. 6265 - 6288

Опубликована: Фев. 27, 2024

Язык: Английский

Engineering Sustainable Data Architectures for Modern Financial Institutions DOI Open Access

Sergiu-Alexandru Ionescu,

Vlad Dıaconıța,

Andreea-Oana Radu

и другие.

Electronics, Год журнала: 2025, Номер 14(8), С. 1650 - 1650

Опубликована: Апрель 19, 2025

Modern financial institutions now manage increasingly advanced data-related activities and place a growing emphasis on environmental energy impacts. In modeling, relational databases, big data systems, the cloud are integrated, taking into consideration resource optimization sustainable computing. We suggest four-layer architecture to address processing issues. The layers of our design for sources, integration, processing, storage. Data ingestion processes market feeds, transaction records, customer data. Real-time captured by Kafka transformed Extract-Transform-Load (ETL) pipelines. layer is composed Apache Spark real-time analysis, Hadoop batch an Machine Learning (ML) infrastructure that supports predictive modeling. order optimize access patterns, storage includes various components. test results indicate in real-time, compliance reporting, risk evaluations, analyses can be conducted fulfillment sustainability goals. metrics from deployment support implementation strategies technical specifications architectural also looked at integration models flow improvements, with applications finance. This study aims enhance enterprise context guidance modernizing infrastructure.

Язык: Английский

Процитировано

1

Impact of Data Centers on Climate Change: A Review of Energy Efficient Strategies DOI Open Access
Daniel Raphael Ejike Ewim,

Nwakamma Ninduwezuor-Ehiobu,

Ochuko Felix Orikpete

и другие.

The Journal of Engineering and Exact Sciences, Год журнала: 2023, Номер 9(6), С. 16397 - 01e

Опубликована: Авг. 17, 2023

The rapid proliferation of digital services and the surge in cloud computing have significantly increased demand for data centers worldwide. As these facilities consume vast amounts energy, there is growing concern about their impact on environment, particularly relation to climate change. This paper reviews extent which contribute global greenhouse gas emissions examines energy efficient strategies being employed mitigate environmental footprint. Key findings indicate that without intervention, centre could rival those major industries. Fortunately, innovations cooling technologies, architectural design, renewable sourcing, hardware efficiency shown potential reducing consumption. also underscores importance a holistic approach encompasses both technological advancements policy measures meaningful progress. In conclusion, while are indeed source concern, ongoing energy-efficient provide promising pathway towards sustainable future.

Язык: Английский

Процитировано

23

Economic and Environmental Costs of Cloud Technologies for Medical Imaging and Radiology Artificial Intelligence DOI
Florence X. Doo, Pranav Kulkarni, Eliot L. Siegel

и другие.

Journal of the American College of Radiology, Год журнала: 2023, Номер 21(2), С. 248 - 256

Опубликована: Дек. 9, 2023

Язык: Английский

Процитировано

23

Energy efficient task scheduling based on deep reinforcement learning in cloud environment: A specialized review DOI
Huanhuan Hou, Siti Nuraishah Agos Jawaddi,

Azlan Ismail

и другие.

Future Generation Computer Systems, Год журнала: 2023, Номер 151, С. 214 - 231

Опубликована: Окт. 14, 2023

Язык: Английский

Процитировано

19

Enhancement in performance of cloud computing task scheduling using optimization strategies DOI
Ramandeep Sandhu, Mohammad Faiz, Harpreet Kaur

и другие.

Cluster Computing, Год журнала: 2024, Номер 27(5), С. 6265 - 6288

Опубликована: Фев. 27, 2024

Язык: Английский

Процитировано

9