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NeGIS 2021 Preface

机译:尼格斯2021序言

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摘要

The amount of data and services supported by Information Systems (ISs) has increased exponentially during the last few years. To improve their efficiency and reduce costs, modern organizations have been shifting their services, with part of their ISs, to the Cloud. More recent developments have shown an inversion towards decentralization and distribution of applications and services in the huge pool of devices and computing facilities available nearer to the customers. This shift is due to the impact of the Internet of Things (IoT), which is further increasing the amount of data to be stored and computed. The next generation of information systems will further push these trends to create seamless and pervasive systems. Fog computing, in particular, is the last frontier for ISs, where data and services can be moved in the continuum of resources between the cloud and the edge. In this context, the management of ISs can exploit the diversification of the resources available, but at the same time it is getting more and more complex and challenging. The management of next generation ISs should, therefore, take into consideration the heterogeneity of the Cloud/Fog infrastructure. Such complex architecture is posing new challenges in the management of modern applications, especially in reference to enhancement of quality of service, security, privacy, and energy efficiency. In particular, security and privacy need to be considered for the amount of sensitive data possibly produced, while energy efficiency is central, due to the high amount of computational nodes involved. Universally accepted solutions for next generation ISs are yet to be found.
机译:在过去几年中,信息系统(ISs)支持的数据和服务数量呈指数级增长。为了提高效率和降低成本,现代组织已经将他们的服务以及部分ISs转移到了云上。最近的发展表明,在离客户更近的设备和计算设施的巨大池中,应用程序和服务的分散和分布出现了逆转。这种转变是由于物联网(IoT)的影响,它进一步增加了要存储和计算的数据量。下一代信息系统将进一步推动这些趋势,以创建无缝和普及的系统。特别是雾计算是国际空间站的最后一个前沿领域,数据和服务可以在云和边缘之间的连续资源中移动。在这种情况下,国际空间站的管理可以利用现有资源的多样化,但同时它也变得越来越复杂和具有挑战性。因此,下一代ISs的管理应考虑云/雾基础设施的异构性。这种复杂的体系结构对现代应用程序的管理提出了新的挑战,尤其是在提高服务质量、安全性、隐私和能源效率方面。特别是,可能产生的敏感数据量需要考虑安全性和隐私性,而由于涉及大量计算节点,能源效率至关重要。下一代国际空间站普遍接受的解决方案尚未找到。

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