Exploring research hypotheses in green computing

Autor: Ikram Hamizi, Giancarlo Succi, Zamira Kholmatova
Přispěvatelé: Hamizi I, Kholmatova Z, Succi G
Rok vydání: 2021
Předmět:
Zdroj: Journal of Smart Environments and Green Computing.
DOI: 10.20517/jsegc.2021.05
Popis: This paper reviews the research work done in the last 11 years in the area of green computing and analyzes the asso- ciated hypotheses, which are then structured in taxonomy and explored to pave the way for a comprehensive view of future research in the area. With the help of the taxonomy, we can understand which of the problems needs more attention. For example, when there is a small number of studies related to a problem, research needs to be conducted on this topic, while a huge number of studies could raise contradictory results that can be aggregated to a unified answer with a meta-analysis. Among the hypotheses generated, one can choose to investigate the hypotheses with a sufficient number of papers.
Databáze: OpenAIRE