Phase change cooling in data centers: A review

X Yuan, X Zhou, Y Pan, R Kosonen, H Cai, Y Gao… - Energy and …, 2021 - Elsevier
With the advent of big data era, data centers (DCs) related energy use accounts for
approximately 3% of the global electric power consumption. As the augmentation of data …

Crime in urban areas: A data mining perspective

X Zhao, J Tang - Acm Sigkdd Explorations Newsletter, 2018 - dl.acm.org
Urban safety and security play a crucial role in improving life quality of citizen and the
sustainable development of urban. Traditional urban crime research focused on leveraging …

Framework proposal for the environmental impact assessment of universities in the context of Green IT

C Marques, SJ Bachega, DM Tavares - Journal of Cleaner Production, 2019 - Elsevier
The concept of Green IT refers to sustainable technologies and information systems as well
as environmentally friendly IT practices. Universities, which hold responsibility for …

HaaS in Environmental Computing: Hadoop-as-a-Service for Big Data Mining in Environmental Computing Applications

AS Varde - ACM SIGWEB Newsletter, 2024 - dl.acm.org
This article addresses the importance of HaaS (Hadoop-as-a-Service) in cloud technologies,
with specific reference to its usefulness in big data mining for environmental computing …

The DevOps paradigm with cloud data analytics for green business applications

MJ Pawlish, AS Varde - ACM SIGKDD Explorations Newsletter, 2018 - dl.acm.org
This paper reviews the emergence of the DevOps (development and operations) paradigm
in the industry and the influence it has along with cloud based data management and …

Experimental research on the influence of a novel passive cooling system on the data center temperature distribution

Y Wang, W Zheng, G Shi, Y Jiang, C Sun, J Guo - Energy and Buildings, 2023 - Elsevier
As artificial intelligence has been leaping forward, data centers (DCs) are only capable of
meeting to the daily needs of people through uninterrupted operations. A power outage or …

Computational estimation by scientific data mining with classical methods to automate learning strategies of scientists

AS Varde - ACM Transactions on Knowledge Discovery from Data …, 2022 - dl.acm.org
Experimental results are often plotted as 2-dimensional graphical plots (aka graphs) in
scientific domains depicting dependent versus independent variables to aid visual analysis …

Roles of the Web in Commercial Energy Efficiency: IoT, Cloud Computing, and Opinion Mining

S Shrestha, AS Varde - ACM SIGWEB Newsletter, 2023 - dl.acm.org
The overconsumption of energy in recent times has motivated many studies. Some of these
explore the application of web technologies and machine learning models, aiming to …

Enriching Smart Cities by Optimizing Electric Vehicle Ride-Sharing through Game Theory

D Radakovic, A Singh, AS Varde… - 2022 IEEE 34th …, 2022 - ieeexplore.ieee.org
Pillars of smart cities include smart environment, mobility and economy. We explore impacts
on these to enhance smart cities, heading towards a smart planet. Our motivation emerges …

Adaptive resource allocation with job runtime uncertainty

R Ramírez-Velarde, A Tchernykh… - Journal of Grid …, 2017 - Springer
In this paper, we address the problem of dynamic resource allocation in presence of job
runtime uncertainty. We develop an execution delay model for runtime prediction, and …