Data Center-Enabled High Altitude Platforms: A Green Computing Alternative
dc.contributor.author | Abderrahim, Wiem | |
dc.contributor.author | Amin, Osama | |
dc.contributor.author | Shihada, Basem | |
dc.date.accessioned | 2023-09-17T12:19:28Z | |
dc.date.available | 2023-09-17T12:19:28Z | |
dc.date.issued | 2023-09-17 | |
dc.identifier.uri | http://hdl.handle.net/10754/694478 | |
dc.description.abstract | Information technology organizations and companies are seeking greener alternatives to traditional terrestrial data centers to mitigate global warming and reduce carbon emissions. Currently, terrestrial data centers consume a significant amount of energy, estimated at about 1.5% of worldwide electricity use. Furthermore, the increasing demand for data-intensive applications is expected to raise energy consumption, making it crucial to consider sustainable computing paradigms. In this study, we propose a data center-enabled High Altitude Platform (HAP) system, where a flying data center supports the operation of terrestrial data centers. We conduct a detailed analytical study to assess the energy benefits and communication requirements of this approach. Our findings demonstrate that a data center-enabled HAP is more energy-efficient than a traditional terrestrial data center, owing to the naturally low temperature in the stratosphere and the ability to harvest solar energy. Adopting a data center-HAP can save up to 14% of energy requirements while overcoming the offloading outage problem and the associated delay resulting from server distribution. Our study highlights the potential of a data centerenabled HAP system as a sustainable computing solution to meet the growing energy demands and reduce carbon footprint. | |
dc.rights | This is an accepted manuscript version of a paper before final publisher editing and formatting. The version of record is available from Accepted by IEEE Transactions on Mobile Computing (TMC). | |
dc.title | Data Center-Enabled High Altitude Platforms: A Green Computing Alternative | |
dc.type | Article | |
dc.contributor.department | Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divison, King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Makkah Prov., Saudi Arabia | |
dc.contributor.department | Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division | |
dc.contributor.department | Computer Science Program | |
dc.contributor.department | Resilient Computing and Cybersecurity Center | |
dc.identifier.journal | Accepted by IEEE Transactions on Mobile Computing (TMC) | |
dc.eprint.version | Post-print | |
dc.identifier.arxivid | 2309.09241 | |
kaust.person | Abderrahim, Wiem | |
kaust.person | Amin, Osama | |
kaust.person | Shihada, Basem | |
refterms.dateFOA | 2023-09-17T12:21:36Z |
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