On big data, artificial intelligence and smart cities

Z Allam, ZA Dhunny - Cities, 2019 - Elsevier
Cities are increasingly turning towards specialized technologies to address issues related to
society, ecology, morphology and many others. The emerging concept of Smart Cities highly …

Benchmarking big data systems: A review

R Han, LK John, J Zhan - IEEE Transactions on Services …, 2017 - ieeexplore.ieee.org
With the fast development of big data systems in recent years, a variety of open-source
benchmarks have been built to evaluate and compare the workloads on these systems, and …

DAMOV: A new methodology and benchmark suite for evaluating data movement bottlenecks

GF Oliveira, J Gómez-Luna, L Orosa, S Ghose… - IEEE …, 2021 - ieeexplore.ieee.org
Data movement between the CPU and main memory is a first-order obstacle against improv
ing performance, scalability, and energy efficiency in modern systems. Computer systems …

Machine learning for power, energy, and thermal management on multicore processors: A survey

S Pagani, PDS Manoj, A Jantsch… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Due to the high integration density and roadblock of voltage scaling, modern multicore
processors experience higher power densities than previous technology scaling nodes …

Data as the new driving gears of urbanization

Z Allam, Z Allam - Cities and the digital revolution: Aligning technology …, 2020 - Springer
While there have been a slow rural–urban transition which highlighted the role that cities are
the centre for sustaining economies of regions, and even countries, it was the advent of the …

Bigdatabench: A scalable and unified big data and ai benchmark suite

W Gao, J Zhan, L Wang, C Luo, D Zheng… - arXiv preprint arXiv …, 2018 - arxiv.org
Several fundamental changes in technology indicate domain-specific hardware and
software co-design is the only path left. In this context, architecture, system, data …

Profiling gem5 Simulator

J Umeike, N Patel, A Manley… - … Analysis of Systems …, 2023 - ieeexplore.ieee.org
In this work, we set out to find the answers to the following questions:(1) Where are the
bottlenecks in a state-of-theart architectural simulator?(2) How much faster can architectural …

System and architecture level characterization of big data applications on big and little core server architectures

M Malik, S Rafatirad, H Homayoun - ACM Transactions on Modeling and …, 2018 - dl.acm.org
The rapid growth in data yields challenges to process data efficiently using current high-
performance server architectures such as big Xeon cores. Furthermore, physical design …

SARA: Stably and quickly find optimal cloud configurations for heterogeneous big data workloads

A Xiao, ZH Lu, J Li, J Wu, PCK Hung - Applied Soft Computing, 2019 - Elsevier
With the development of cloud platforms, more and more workloads are operated on the
cloud. It is important to find the optimal cloud configurations for these workloads. But most of …

Interference analysis of co-located container workloads: a perspective from hardware performance counters

WY Chen, KJ Ye, CZ Lu, DD Zhou, CZ Xu - Journal of Computer science …, 2020 - Springer
Workload characterization is critical for resource management and scheduling. Recently,
with the fast development of container technique, more and more cloud service providers …