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It is our great pleasure to welcome you to the 1st Workshop on Flexible Resource and Application Management on the Edge - FRAME 2021, held in conjunction with the HPDC 2021 conference as an online event on June 25th, 2021. The mission of the FRAME workshop is to bring together cloud and edge computing experts from academia and industry in order to identify new challenges for the management of resources in cloudedge infrastructures, as well as to promote the vision of a Continuum of resources including Edge and Cloud platforms among academia and industry stakeholders. By merging into the so-called Cloud/Edge Continuum, Cloud and Edge infrastructures can work together to fulfill requirements from a variety of Next-generation applications. Edge resources can act as a first layer of computing capacity that is close to the user, exploiting proximity to reduce latency and increase the exploitable portion of network bandwidth. Conventional Cloud infrastructures provide higher levels of reliability and performance than Edge resources to large groups of different users, also acting as a computing-power capacitor for the Edge of the network. From a technological perspective, by improving the features of scalability, interoperability, and efficient allocation of resources at the edge we can enable a whole new set of scenarios. Interactive and time-sensitive services can close the proximity gap with (potential) users by extending their services toward them. Real-time, data-driven decisions can promptly be made without waiting for data to travel to the Cloud and back.
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This book constitutes the refereed proceedings of the 15th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2018, held in Pisa, Italy, in September 2018. The 21 full papers and 9 short papers presented together with 1 invited talk were carefully reviewed and selected from 40 submissions. This GECON 2018 proceedings was structured in three special sessions on selected topics, namely: IT service ecosystems enabled through emerging digital technologies; machine learning, cognitive systems and data science for system management; and blockchain technologies and economics.
Computer Communication Networks. --- Software engineering. --- Computer security. --- Machine learning. --- Information Systems Applications (incl. Internet). --- Software Engineering. --- Systems and Data Security. --- Machine Learning. --- e-Commerce/e-business. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Computer privacy --- Computer system security --- Computer systems --- Computers --- Cyber security --- Cybersecurity --- Electronic digital computers --- Protection of computer systems --- Security of computer systems --- Data protection --- Security systems --- Hacking --- Computer software engineering --- Engineering --- Protection --- Security measures --- Computational grids (Computer systems) --- Computer networks --- Electronic commerce --- Cloud computing --- Electronic data processing --- Web services --- Distributed processing --- Computer communication systems. --- Application software. --- E-commerce. --- Cybercommerce --- E-business --- E-commerce --- E-tailing --- eBusiness --- eCommerce --- Electronic business --- Internet commerce --- Internet retailing --- Online commerce --- Web retailing --- Commerce --- Information superhighway --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers
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