Special Issue on Intelligent Architectures and Platforms for Private Edge Cloud Systems

IF 6.2 2区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS Future Generation Computer Systems-The International Journal of Escience Pub Date : 2024-11-05 DOI:10.1016/j.future.2024.107605
Sayed Chhattan Shah, Taehong Kim, Blesson Varghese, Zhi Wang
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私有边缘云系统的智能架构和平台特刊
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来源期刊
CiteScore
19.90
自引率
2.70%
发文量
376
审稿时长
10.6 months
期刊介绍: Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.
期刊最新文献
Editorial Board AIHO: Enhancing task offloading and reducing latency in serverless multi-edge-to-cloud systems DSDM-TCSE: Deterministic storage and deletion mechanism for trusted cloud service environments Energy management in smart grids: An Edge-Cloud Continuum approach with Deep Q-learning Service migration with edge collaboration: Multi-agent deep reinforcement learning approach combined with user preference adaptation
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