How Green Are Cloud Patterns? A Case Study of Energy Consumption. Abtahizadeh, S. A., Khomh, F., & Guéhéneuc, Y. In Ren, K. & Melodia, T., editors, Proceedings of the 34<sup>th</sup> International Performance Computing and Communications Conference (IPCCC), pages 1–8, December, 2015. IEEE CS Press. 8 pages.Paper abstract bibtex Cloud Patterns are abstract solutions to recurrent design problems in the cloud. Previous work has shown that these patterns can improve the Quality of Service (QoS) of cloud applications but their impact on energy consumption is still unknown. Yet, energy consumption is the biggest challenge that cloud computing systems (the backbone of today�s high-tech economy) face today. In fact, 10% of the world�s electricity is now being consumed by servers, laptops, tablets and smartphones. Energy consumption has complex dependencies on the hardware platform, and the multiple software layers. The hardware, its firmware, the operating system, and the various software components used by a cloud application, all contribute to determining the energy footprint. Hence, even though increasing a data center efficiency will eventually improve energy efficiency, the internal design of cloud-based applications can be improved to lower energy consumption. In this paper, we conduct an empirical study on a RESTful multi-threaded application deployed in the cloud, to investigate the individual and the combined impact of three cloud patterns (e.g., Local Database proxy, Local Sharding Based Router and Priority Queue) on the energy consumption of cloud based applications. We measure the energy consumption using Power-API; an application programming interface (API) written in Java to monitor the energy consumed at the processlevel. Results show that cloud patterns can effectively reduce the energy consumption of a cloud application, but not in all cases. In general, there appear to be a trade-off between an improved response time of the application and the energy consumption. Developers and software architects can make use of these results to guide their design decisions.
@INPROCEEDINGS{Abtahizadeh15-IPCCC-GreenPatterns,
author = {S. Amirhossein Abtahizadeh and Foutse Khomh and Yann-Ga{\"e}l Gu{\'e}h{\'e}neuc},
title = {How Green Are Cloud Patterns? A Case Study of Energy Consumption},
booktitle = {Proceedings of the 34<sup>{th}</sup> International Performance Computing and Communications Conference ({IPCCC})},
year = {2015},
month = {December},
editor = {Kui Ren and Tommaso Melodia},
publisher = {IEEE CS Press},
note = {8 pages.},
abstract = {
Cloud Patterns are abstract solutions to recurrent design problems in the cloud. Previous work has shown
that these patterns can improve the Quality of Service (QoS) of cloud applications but their impact on
energy consumption is still unknown. Yet, energy consumption is the biggest challenge that cloud
computing systems (the backbone of today�s high-tech economy) face today. In fact, 10\% of the world�s
electricity is now being consumed by servers, laptops, tablets and smartphones. Energy consumption has
complex dependencies on the hardware platform, and the multiple software layers. The hardware, its
firmware, the operating system, and the various software components used by a cloud application, all
contribute to determining the energy footprint. Hence, even though increasing a data center efficiency
will eventually improve energy efficiency, the internal design of cloud-based applications can be
improved to lower energy consumption. In this paper, we conduct an empirical study on a RESTful
multi-threaded application deployed in the cloud, to investigate the individual and the combined impact
of three cloud patterns (e.g., Local Database proxy, Local Sharding Based Router and Priority Queue) on
the energy consumption of cloud based applications. We measure the energy consumption using Power-API; an
application programming interface (API) written in Java to monitor the energy consumed at the
processlevel. Results show that cloud patterns can effectively reduce the energy consumption of a cloud
application, but not in all cases. In general, there appear to be a trade-off between an improved
response time of the application and the energy consumption. Developers and software architects can make
use of these results to guide their design decisions.},
grant = {NSERC DG and CRC on Software Patterns},
keywords = {Code and design smells ; Quality models ; IPCCC},
kind = {MISA},
language = {english},
url = {http://www.ptidej.net/publications/documents/IPCCC15.doc.pdf},
pdf = {http://www.ptidej.net/publications/documents/IPCCC15.ppt.pdf},
pages = {1--8}
}
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