Energy efficient computing, clusters, grids and clouds: A taxonomy and survey

M Zakarya, L Gillam - Sustainable Computing: Informatics and Systems, 2017 - Elsevier
Cloud computing continues to play a major role in transforming the IT industry by facilitating
elastic on-demand provisioning of computational resources including processors, storage …

Energy, performance and cost efficient datacenters: A survey

M Zakarya - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Computing systems have been focused on performance improvements, driven by the
demand of user applications in past few decades, particularly from 1990 to 2010. However …

Optimizing MapReduce task scheduling on virtualized heterogeneous environments using ant colony optimization

R Jeyaraj, A Paul - IEEE Access, 2022 - ieeexplore.ieee.org
Consuming Hadoop MapReduce via virtual infrastructure as a service is becoming common
practice as cloud service providers (CSP) offers relevant applications and scalable …

Managing energy, performance and cost in large scale heterogeneous datacenters using migrations

M Zakarya, L Gillam - Future Generation Computer Systems, 2019 - Elsevier
Improving datacenter energy efficiency becomes increasingly important due to energy
supply problems, fuel costs and global warming. Virtualisation can help to improve …

The fast and the frugal: Tail latency aware provisioning for coping with load variations

A Kumar, I Narayanan, T Zhu… - Proceedings of The Web …, 2020 - dl.acm.org
Small and medium sized enterprises use the cloud for running online, user-facing, tail
latency sensitive applications with well-defined fixed monthly budgets. For these …

Pufferfish: Container-driven elastic memory management for data-intensive applications

W Chen, A Pi, S Wang, X Zhou - Proceedings of the ACM Symposium on …, 2019 - dl.acm.org
Data-intensive applications often suffer from significant memory pressure, resulting in
excessive garbage collection (GC) and out-of-memory (OOM) errors, harming system …

[图书][B] Energy and performance aware resource management in heterogeneous cloud datacenters

M Zakarya - 2017 - search.proquest.com
In cloud computing, datacenters are the principal consumers of electricity. In 2014, Cloud
datacenters reportedly accounted for some 70 billion kWh, which is the equivalent of 1.8% of …

Dynamic ranking-based MapReduce job scheduler to exploit heterogeneous performance in a virtualized environment

J Rathinaraja, VS Ananthanarayana, A Paul - The Journal of …, 2019 - Springer
Abstract “More data, more information.” Big data helps businesses and research
communities to gain insights and increase productivity. Many public cloud service providers …

Addressing performance heterogeneity in mapreduce clusters with elastic tasks

W Chen, J Rao, X Zhou - 2017 IEEE International Parallel and …, 2017 - ieeexplore.ieee.org
MapReduce applications, which require access to a large number of computing nodes, are
commonly deployed in heterogeneous environments. The performance discrepancy …

Energy‐Efficient Cloud Computing Techniques for Next Generation: Ways of Establishing and Strategies for Future Developments

P Mishra, M Sivaram, M Arvindhan… - … for Smart Energy …, 2022 - Wiley Online Library
In recent decades, massive growth has led to high use of natural resources in global
economization and acceleration in global transition. In the meantime, computer technology …