A survey on modeling energy consumption of cloud applications: deconstruction, state of the art, and trade-off debates

Z Li, S Tesfatsion, S Bastani, A Ali-Eldin… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Given the complexity and heterogeneity in Cloud computing scenarios, the modeling
approach has widely been employed to investigate and analyze the energy consumption of …

MapReduce: an infrastructure review and research insights

N Maleki, AM Rahmani, M Conti - The Journal of Supercomputing, 2019 - Springer
In the current decade, doing the search on massive data to find “hidden” and valuable
information within it is growing. This search can result in heavy processing on considerable …

Residence energy control system based on wireless smart socket and IoT

KL Tsai, FY Leu, I You - IEEE Access, 2016 - ieeexplore.ieee.org
To avoid resources on green earth being exhausted much earlier by human beings, energy
saving has been one of the key issues in our everyday lives. In fact, energy control for some …

Optimal task replication considering reliability, performance, and energy consumption for parallel computing in cloud systems

X Qiu, P Sun, Y Dai - Reliability Engineering & System Safety, 2021 - Elsevier
In a cloud-based cyber–physical system, many jobs consist of multiple parallel tasks. The
cloud system usually adopts active task replication to improve performance and guarantee …

The memory challenge in reduce phase of MapReduce applications

SM Nabavinejad, M Goudarzi… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
MapReduce has become a popular paradigm for Big Data processing. Each MapReduce
Application has two phases: Map and Reduce. Each phase consist of several tasks in a …

Prediction of technical efficiency and financial crisis of Taiwan's information and communication technology industry with decision tree and DEA

TC Chiang, PY Cheng, FY Leu - Soft Computing, 2017 - Springer
This study aims to analyze the business performance and technical efficiency of Taiwan's
ICT industry with the Malmquist productivity index of data envelopment analysis. The …

Monte Carlo computer simulation of a camera system for proton beam range verification in cancer treatment

XL Sun, H Wang, XK Li, GH Cao, Y Kuang… - Future Generation …, 2020 - Elsevier
Purpose: This paper investigated a framework to efficiently compute and merge Monte Carlo
simulations with new technique development in cancer treatment. A newly designed 3-D …

Evaluating the impact of eDoS attacks to cloud facilities

GL Dei Rossi, M Iacono, A Marin - … of the 9th EAI International Conference …, 2016 - dl.acm.org
The complexity of modern cloud facilities requires attentive management policies that should
encompass all aspects of the system. Security is a critical issue, as intrusions, misuse or …

Impact of MapReduce policies on job completion reliability and job energy consumption

JC Lin, FY Leu, Y Chen - IEEE Transactions on Parallel and …, 2014 - ieeexplore.ieee.org
Recently, MapReduce has been widely employed by many companies/organizations to
tackle data-intensive problems over a large-scale MapReduce cluster. To solve …

Cloud‐based data streams optimization

FM Najib, RM Ismail, NL Badr… - … Reviews: Data Mining …, 2018 - Wiley Online Library
Many modern applications of sensor networks and transaction analysis require real‐time
processing of their stream data sets. These data streams vary continuously over time …