Pub Date : 1900-01-01DOI: 10.1109/CloudTech49835.2020.9365871
Ikhlasse Hamzaoui, B. Duthil, V. Courboulay, H. Medromi
As the vast amount of data destined to cloud systems never stop growing in seconds, minutes, hours and daily basis, the development of dynamic, autonomous and proactive architectures for cloud resources scheduling becomes a veritable prerequisite. This dominant trend is inciting to further seek for complete and accurate forecasting and predictive models to support decision making in several cloud-scheduling levels. In this perspective, this paper is a result of a meticulous statistical analysis of about five hundred relevant research articles dealing with proactive resources scheduling in cloud, fog, edge computing and networking systems, using a complete panoply of Artificial Intelligence (AI) predictive techniques. The first aim is to highlight for the first time current trends bridging the gap between cloud services management and AI tools.
{"title":"An overall statistical analysis of AI tools deployed in Cloud computing and networking systems","authors":"Ikhlasse Hamzaoui, B. Duthil, V. Courboulay, H. Medromi","doi":"10.1109/CloudTech49835.2020.9365871","DOIUrl":"https://doi.org/10.1109/CloudTech49835.2020.9365871","url":null,"abstract":"As the vast amount of data destined to cloud systems never stop growing in seconds, minutes, hours and daily basis, the development of dynamic, autonomous and proactive architectures for cloud resources scheduling becomes a veritable prerequisite. This dominant trend is inciting to further seek for complete and accurate forecasting and predictive models to support decision making in several cloud-scheduling levels. In this perspective, this paper is a result of a meticulous statistical analysis of about five hundred relevant research articles dealing with proactive resources scheduling in cloud, fog, edge computing and networking systems, using a complete panoply of Artificial Intelligence (AI) predictive techniques. The first aim is to highlight for the first time current trends bridging the gap between cloud services management and AI tools.","PeriodicalId":153924,"journal":{"name":"International Conference on Cloud Computing Technologies and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123546830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1109/CloudTech49835.2020.9365889
Wail El Hilali, A. E. Manouar, M. Idrissi
In this time and age, companies are facing difficult times to sustain their competitive advantages. The emergence of disruptive technologies, the bloody competition between rivals, the abrupt change of customer behaviors and the shortage of natural resources, all of these are drivers that push companies to think out of the box and to change the way business is done. Digital capabilities, and especially big data, comes as a new tool to use in order to continue creating and capturing value in a sustainable manner. This paper is a try to broaden the literature about this subject. A qualitative analysis was conducted inside three big size Moroccan companies in order to assess the impact of using big data on these firm's economic performances, social footprints and environmental negative externalities. The finding showed that embracing this technology has helped these companies for their quest to reach sustainability.
{"title":"Big data for sustainability: a qualitative analysis","authors":"Wail El Hilali, A. E. Manouar, M. Idrissi","doi":"10.1109/CloudTech49835.2020.9365889","DOIUrl":"https://doi.org/10.1109/CloudTech49835.2020.9365889","url":null,"abstract":"In this time and age, companies are facing difficult times to sustain their competitive advantages. The emergence of disruptive technologies, the bloody competition between rivals, the abrupt change of customer behaviors and the shortage of natural resources, all of these are drivers that push companies to think out of the box and to change the way business is done. Digital capabilities, and especially big data, comes as a new tool to use in order to continue creating and capturing value in a sustainable manner. This paper is a try to broaden the literature about this subject. A qualitative analysis was conducted inside three big size Moroccan companies in order to assess the impact of using big data on these firm's economic performances, social footprints and environmental negative externalities. The finding showed that embracing this technology has helped these companies for their quest to reach sustainability.","PeriodicalId":153924,"journal":{"name":"International Conference on Cloud Computing Technologies and Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123657482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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