Next-Generation Infrastructure and Application Scaling: Enhancing Resilience and Optimizing Resource Consumption [* Cross-Reference *]

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Sarvari P.A.; Martin S.; Khadraoui D.; Baskurt G., 2023, "Next-Generation Infrastructure and Application Scaling: Enhancing Resilience and Optimizing Resource Consumption [* Cross-Reference *]", https://lore.list.lu/citation?persistentId=perma:LIST.NFZDJX, LIST Open Repository, V1
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Description
This research aims to create and implement new technological mechanisms to address the challenges associated with scalability, resilience, and resource consumption optimization in the technological ecosystem of digital-driven companies those process vast amounts of data in motion and data at rest. Admitting the fact that cloud computing becomes more prevalent, organizations must adapt their infrastructure to handle growing workloads, user bases, and data volumes, and indeed, today's digital landscape requires organizations to be resilient. According to the domain literature, this paper states that the goal of a digital-driven company is to minimize downtime, ensure data integrity, and maintain uninterrupted service availability for its customers by investing in resilience mechanisms. Inefficient resource consumption can lead to unnecessary costs and environmental impacts. To maintain performance under adverse conditions and recover quickly from disruptions, modern infrastructure needs to be able to dynamically scale applications. Recent technological advancements, such as distributed systems, containers, and orchestration tools, enable this. The paper emphasizes that the next-generation infrastructure must go scalable and resilient in order to support increasingly complex computational tasks. (2023-10-10)
***This entry has been automatically imported via Infodoc(ASO) CSV by LIST harvest scripts. *** (2025-09-03)
Subject Computer and Information Science
Keyword resource consumption optimization
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