Towards Greening MapReduce Clusters Considering Both Computation Energy and Cooling Energy
Volume: 32, Issue: 4, Pages: 931 - 942
Published: Apr 1, 2021
Abstract
Increased processing power of MapReduce clusters generally enhances performance and availability at the cost of substantial energy consumption that often incurs higher operational costs (e.g., electricity bills) and negative environmental impacts (e.g., carbon dioxide emissions). There exist a few greening methods for computing clusters in the literature that focus mainly on computational energy consumption leaving cooling energy, which occupies...
Paper Details
Title
Towards Greening MapReduce Clusters Considering Both Computation Energy and Cooling Energy
Published Date
Apr 1, 2021
Volume
32
Issue
4
Pages
931 - 942
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History