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perccom_summer_school_2018:group5:start [2018/05/20 11:34] ckugblenu |
perccom_summer_school_2018:group5:start [2018/06/14 12:20] (current) minarady |
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====== Thesis Presentations Group 5 ====== | ====== Thesis Presentations Group 5 ====== | ||
- | **Title: | + | **Title: |
- | **Author:** Kugblenu, Carl | + | **Author:** Kugblenu, Carl \\ |
- | **Supervisor(s): | + | **Supervisor(s): |
- | **Hosting Institution: | + | **Hosting Institution: |
- | **Abstract: | + | **Abstract: |
**Paper:** [[https:// | **Paper:** [[https:// | ||
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- | **Title: | + | **Title: |
**Author:** Rady, Mina\\ | **Author:** Rady, Mina\\ | ||
**Supervisor(s): | **Supervisor(s): | ||
**Hosting Institution: | **Hosting Institution: | ||
- | **Abstract: | + | **Abstract: |
- | **Paper:** [[https:// | + | **Paper:** [[https:// |
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- | ...Repeat | + | **Title: |
+ | **Author:** Abdukalikova, | ||
+ | **Supervisor(s): | ||
+ | **Hosting Institution: | ||
+ | **Abstract: | ||
+ | **Paper:** [[https:// | ||
+ | |||
+ | |||
+ | **Title: | ||
+ | **Author:** Heathcote-Fumador, | ||
+ | **Supervisor(s): | ||
+ | **Hosting Institution: | ||
+ | **Abstract: | ||
+ | **Paper:** [[https:// | ||
+ | |||
+ | **Title: | ||
+ | **Author:** Mutua, Phoebe\\ | ||
+ | **Supervisor(s): | ||
+ | **Hosting Institution: | ||
+ | **Abstract: | ||
+ | storage services coupled with the high energy usage necessitate the need for changes in the design and operations of the data center for improved performance. To efficiently appraise data centers, we must broadly examine all the components that make up the composition of a data center. There are a collection of data center metrics available today for assessing data centers which can be categorized into energy efficiency metrics, green metrics, cooling metrics, performance metrics, storage metrics, network metrics, security metrics and financial metrics. The complexity presented from analyzing metrics of such magnitude can be difficult to decipher. Therefore, this research assesses the sustainability of data centers by analyzing the different data center metrics with respect to biomimicry rules and using Analytic Hierarchy Process to showcase in a simple understandable manner, the holistic global view of the data center’s performance | ||
+ | which is beneficial for continuous improvements and informed decision making for future scaling of services. \\ | ||
+ | **Paper:** [[https:// | ||
+ |