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[null,"1.","Record Nr.",null,"UNISA996397056003316"]
[null,null,"Autore",null,"Donatus Aelius"]
[null,null,"Titolo",null,"[Ars minor] [[electronic resource]]"]
[null,null,"Pubbl/distr/stampa",null,"[Scotland?, : s.n., ca. 1507?]"]
[null,null,"Descrizione fisica",null,"[2+] p"]
[null,null,"Soggetti",null,"Latin language - Grammar"]
[null,null,"Lingua di pubblicazione",null,"Scots"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Title suggested by STC (2nd ed.)."]
[{"$nulls":4},"Attributed to Donatus by STC (2nd ed.)."]
[{"$nulls":4},"Imprint suggested by STC (2nd ed.)."]
[{"$nulls":4},"Imperfect: lacking all except 1 leaf."]
[{"$nulls":4},"Reproduction of original in: University of Aberdeen. Library."]
[null,null,null,"Sommario/riassunto","eebo-0003"]
[null,"2.","Record Nr.",null,"UNINA9910571791503321"]
[null,null,"Autore",null,"Groppe Sven"]
[null,null,"Titolo",null,"Proceedings of The International Workshop on Big Data in Emergent Distributed Environments / / Sven Groppe, Le Gruenwald, Ching-Hsien Hsu"]
[null,null,"Pubbl/distr/stampa",null,"New York : , : Association for Computing Machinery, , 2022"]
[null,null,"Descrizione fisica",null,"1 online resource (77 pages)"]
[null,null,"Disciplina",null,"004"]
[null,null,"Soggetti",null,"Computer systems"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Today, new forms of distributed environments beyond Cloud Computing occur that offer new kinds of applications, but pose new challenges for data management. The recent efforts for serverless computing aim at simplifying the process of deploying code in the Cloud into production by hiding scaling, capacity planning and maintenance operations from the developer or operator. Other initiatives work on avoiding the communication to the Cloud by deploying and running environments for data processing near data sources in Internet-of-Things scenarios (e.g., fog and edge computing) for large-scale smart homes, companies and cities, and near the applications (e.g., Cloudlets for mobile applications and Offline First technologies for web applications). Research on distributed data management evolves addressing new challenges specific to these new environments. Properties of emergent distributed environments regarding capabilities of nodes, bandwidth for communication, battery lifetime of nodes, reliability of nodes and communication, and heterogeneity of configurations impact data management mechanisms and approaches, such as those for fault tolerance, replication, resource provisioning, buffer management, query processing and optimization, and transaction management. In addition, federated approaches and polystores spanning over several emergent distributed environments are also remaining research challenges based on the need for combining these different distributed environments into one distributed runtime environment for easy handling of Big Data in "]
[{"$nulls":4},"different models and globally optimizing data management tasks across these different environments. The goal of this workshop is to bring together academic researchers and industry practitioners to discuss the challenges and solutions, including new approaches, techniques and applications, that significantly would advance the state of the art of Big Data in emergent distributed environments."]