A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
GreenHadoop
2012
Proceedings of the 7th ACM european conference on Computer Systems - EuroSys '12
Preserved Fulltext
In particular, we consider data-processing frameworks, in which many background computations can be delayed by a bounded amount of time. ...
GreenHadoop predicts the amount of solar energy that will be available in the near future, and schedules the MapReduce jobs to maximize the green energy consumption within the jobs' time bounds. ...
Acknowledgements We would like to thank Kevin Elphinstone and the anonymous reviewers for their help in improving our paper. ...
doi:10.1145/2168836.2168843
dblp:conf/eurosys/GoiriLNGTB12
fatcat:crxyh7hes5gylbopvf4fet3uhe
Not All Joules are Equal: Towards Energy-Efficient and Green-Aware Data Processing Frameworks
2016
2016 IEEE International Conference on Cloud Engineering (IC2E)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
Interests have been growing in integrating renewable energy into data centers, which attracts many research efforts in developing green-aware algorithms and systems. ...
We have implemented GreenMR, an energy-efficient and green-aware MapReduce framework, on top of Hadoop YARN. ...
We have observed a number of key factors resulting in joule efficiency of data processing frameworks in data centers. ...
doi:10.1109/ic2e.2016.17
dblp:conf/ic2e/NiuHL16
fatcat:yywk4lm56ffoxee4stw6s5vobu
Leveraging renewable energy in data centers
2012
Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing - HPDC '12
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
In this keynote talk, I will first discuss the tradeoffs involved in leveraging green energy today and the prospects for the future. ...
I will then discuss the main research challenges and questions involved in managing the use of green energy in data centers. ...
Along similar lines, GreenHadoop extends the Hadoop data-processing framework. ...
doi:10.1145/2287076.2287101
dblp:conf/hpdc/Bianchini12
fatcat:7psspyx5hzampb54ijmkvczyfe
A Study of Big Data Computing Platforms: Fairness and Energy Consumption
2016
2016 IEEE International Conference on Cloud Engineering Workshop (IC2EW)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Improving the performance is the common sense on those large-scale data processing frameworks and fruitful studies are proposed in this direction. ...
In this thesis proposal, we investigate how to leverage such joule efficiency to maximize the profits of renewable energy for MapReduce framework. ...
doi:10.1109/ic2ew.2016.31
dblp:conf/ic2e/NiuH16
fatcat:f2lhabqwgrd27m7unqf5k4qcmm
On Understanding the Energy Impact of Speculative Execution in Hadoop
2015
2015 IEEE International Conference on Data Science and Data Intensive Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Hadoop emerged as an important system for largescale data analysis. ...
Speculative execution is a key feature in Hadoop that is extensively leveraged in clouds: it is used to mask slow tasks (i.e., stragglers) -resulted from resource contention and heterogeneity in clouds ...
[19] present GreenHadoop, a MapReduce framework for a data-center powered by renewable green sources of energy (e.g. solar or wind) and the electrical grid (as a backup). ...
doi:10.1109/dsdis.2015.45
dblp:conf/dsdis/PhanIAB15
fatcat:hs7xxvan7vc4veci4q2nahq5uq
Green-Aware Virtual Machine Migration Strategy in Sustainable Cloud Computing Environments
[chapter]
2017
Cloud Computing - Architecture and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Evaluation experiments are conducted under realistic workload traces and solar energy generation data in order to validate the feasibility. ...
In this chapter, we present a green-aware virtual machine (VM) migration strategy in such datacenters powered by sustainable energy sources, considering the power consumption of both IT functional devices ...
Acknowledgements This work is partially supported in part by National Natural Science Foundation of China ...
doi:10.5772/67350
fatcat:7jmctv6jbzb65jfazejufjdpau
Green-aware workload scheduling in geographically distributed data centers
2012
4th IEEE International Conference on Cloud Computing Technology and Science Proceedings
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
While green energy supply for a single data center is intermittent due to daily/seasonal effects, our workload scheduling algorithm is aware of different amounts of green energy supply and dynamically ...
Renewable (or green) energy, such as solar or wind, has at least partially powered data centers to reduce the environmental impact of traditional energy sources (brown energy with high carbon footprint ...
This work is supported by an Inter-disciplinary Strategic Competitive Fund of Nanyang Technological University 2011 for "C3: Cloud-Assisted Green Computing at NTU Campus". ...
doi:10.1109/cloudcom.2012.6427545
dblp:conf/cloudcom/ChenHT12
fatcat:yb7alwuuw5gubmc3czbtrwsequ
Green Data Centers: A Survey, Perspectives, and Future Directions
[article]
2016
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In this paper, we provide a survey of the state-of-the-art research on green data center techniques, including energy efficiency, resource management, thermal control and green metrics. ...
However, because of the over-provisioning of resources, the utilization of existing data centers is, in fact, remarkably low, leading to considerable energy waste. ...
Two scheduler frameworks, named GreenSlot and GreenHadoop, were proposed for parallel batch jobs and data-processing jobs, respectively. ...
arXiv:1608.00687v1
fatcat:if2x3wmy3rhorasl3f2vyvcozy
On the performance and energy efficiency of Hadoop deployment models
2013
2013 IEEE International Conference on Big Data
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper, we also conduct an energy efficiency evaluation of Hadoop on physical and virtual clusters in different configurations. ...
The Hadoop framework has recently evolved to the standard framework implementing the MapReduce model. ...
Department of Energy under Contract No. DE-AC02-05CH11231 and by NSF under Grant No. 1032873. ...
doi:10.1109/bigdata.2013.6691564
dblp:conf/bigdataconf/FellerRM13
fatcat:7yjqtnd2crbtpb4qzxqr7leuvq
Towards a Systematic Survey for Carbon Neutral Data Centers
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Furthermore, three key scientific challenges for putting such a framework in place are discussed. Finally, several applications for this framework are presented to demonstrate its enormous potential. ...
On the technological front, we propose achieving carbon-neutral data centers by increasing renewable energy penetration, improving energy efficiency, and boosting energy circulation simultaneously. ...
Furthermore, Goiri et al. applied GreenSlot scheduler in Hadoop [89] , resulting in a solar energy-and electricity cost-aware MapReduce framework called GreenHadoop [82] . ...
arXiv:2110.09284v3
fatcat:gwlgrioigbedzauyeaopdlxngu
Big Data and cloud computing: innovation opportunities and challenges
2016
International Journal of Digital Earth
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
At the same time, Big Data presents challenges for digital earth to store, transport, process, mine and serve the data. ...
cloud computing and processing Big Data; (v) open availability of Big Data and processing capability pose social challenges of geospatial significance and (vi) a weave of innovations is transforming Big ...
High energy consumption is a major obstacle for achieving green computing with large-scale data centers . ...
doi:10.1080/17538947.2016.1239771
fatcat:qbcgqj2pcvbgja6dnnakoj2saa
Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities
2021
Journal on spesial topics in mobile networks and applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
However, IoT technologies present several challenges such as increases in energy consumption, and produces toxic pollution as well as E-waste in smart cities. ...
Smart city applications must be environmentally-friendly, hence require a move towards green IoT. Green IoT leads to an eco-friendly environment, which is more sustainable for smart cities. ...
Green IoT includes designing and leveraging green aspects. ...
doi:10.1007/s11036-021-01790-w
fatcat:vlcrka3vpzevhkc4z7ylj7q4ba
A comprehensive view of Hadoop research—A systematic literature review
2014
Journal of Network and Computer Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
Lately, Apache Hadoop has attracted strong attention due to its applicability to Big Data processing. ...
Context: In recent years, the valuable knowledge that can be retrieved from petabyte scale datasetsknown as Big Dataled to the development of solutions to process information based on parallel and distributed ...
Table A1 and A2 Table A1 Studies with implementation and/or experiments (MapReduce and data storage & manipulation categories).
Appendix A. ...
doi:10.1016/j.jnca.2014.07.022
fatcat:4xjveqy6mrctzjc4ou7llyy4u4
Matching renewable energy supply and demand in green datacenters
2015
Ad hoc networks
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
and a data processing workload. ...
Based on these positive results, we conclude that green datacenters and green-energy-aware scheduling can have a significant role in building a more sustainable IT ecosystem. ...
We thank Oscar Flores and Modesto Orozco for the genomics workloads we used in this paper. ...
doi:10.1016/j.adhoc.2014.11.012
fatcat:5yc3h4pskvfebigjx5fnq2hw3q
Performance and energy efficiency of big data applications in cloud environments: A Hadoop case study
2015
Journal of Parallel and Distributed Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
In this paper, we also conduct an energy efficiency evaluation of Hadoop on physical and virtual clusters in different configurations. ...
In this paper, we evaluate Hadoop performance in both the traditional model of collocated data and compute services as well as consider the impact of separating out the services. ...
Department of Energy under Contract No. DE-AC02-05CH11231. ...
doi:10.1016/j.jpdc.2015.01.001
fatcat:wbtxc3s2yvd4jl4akd7iiruea4
« Previous
Showing results 1 — 15 out of 19 results