Collection

Orchestration of Computing Resources in the Cloud-to-Things Continuum

Submission status
Closed
The objective of this topical collection is to collect the latest research findings on major and emerging topics related to the orchestration of resources in a wide ecosystem where IoT, Edge/Fog and Cloud converge to form a computing continuum also known as Cloud-to-Things continuum. With the increase of the volume of data produced by IoT devices, there is a growing demand of applications capable of elaborating such data flows close to their sources, not just on the Cloud, or anywhere else along the IoT-to- Cloud path (Edge/Fog). Where computation should occur depends on the specific needs of each application. Strict real-time constraints require computation to run as close to the data origin as possible (e.g., IoT Gateway). Conversely, batch-wise tasks (e.g., Big Data analytics) are advised to run on the Cloud where computing resources are abundant. Edge/Fog may be a good compromise in case of a concomitant demand of both computing power and timeliness of elaboration. Each technology offers different advantages that applications must be able to profit from according to their specific requirements, which may also be changing over time. In that respect, applications would greatly benefit from a flexible and dynamic provisioning of computing resources along the Cloud-to-Things path, that is, a provisioning system capable of orchestrating (activating, deactivating, integrating, etc.) computing resource provided by heterogeneous computing infrastructures. The overall goal of orchestration is to guarantee full and seamless delivery of applications by meeting Quality of service (QoS) goals of both application owners and resource providers. Resource orchestration in the targeted landscape (multi-infrastructure and multi-provider) is considered a challenging activity because of the heterogeneity of resources, the scale dimension that resources have reached and the proliferation of resource providers in the market. This SI encourages submissions that address resource orchestration issues in the Cloud-to-Things landscape and propose experimental solutions, case studies, deployed systems and best practices in that field.

Editors

  • Giuseppe Di Modica Giuseppe Di Modica , 

    Giuseppe Di Modica

    Giuseppe Di Modica is an assistant professor at the Department of Computer Science and Engineering, University of Bologna (Italy). His research interests include Cloud Computing, Edge Computing, IoT and Big Data. He has co-authored more than 90 papers in top-tier peer-reviewed conferences and journals. He has participated as technical and scientific coordinator in research activities of national and EU funded projects (SIMPATICO, VESPER, SeNSori, Cloud@Home, PI2S2, etc). He is the owner and co-founder of All-In-Cloud srl, a spin-off SME of the University of Catania that offers consulting services in the Cloud market.

  • Antonino Galletta Antonino Galletta , 

    Antonino Galletta

    Dr. Antonino Galletta is a Post Doc researcher at the University of Messina. His main research activities focus on Cloud/Edge/IoT technologies for Smart cities and eHealth including Big Data management and Blockchain. He has been selected among 200 top young researchers in Mathematics and Computer Science to participate at the prestigious “Heidelberg Laureate Forum” held in Heidelberg in September 2019. He has been the winner of two editions of the precious “Leonardo Innovation Award” in 2018 (1st Placed) and in 2017 (2nd Placed). In 2019 he was among the winners of the FIWARE Genoa Hackathon. In 2018 he won the Vienna FIWARE challenge.

  • Shadi Ibrahim Shadi Ibrahim , 

    Shadi Ibrahim

    Shadi Ibrahim is a permanent Inria Research Scientist within the Myriads team at Inria Rennes Bretagne Atlantique research center. He obtained his Ph.D. in Computer Science from Huazhong University of Science and Technology, China in 2011. His research interests are in scalable Big data management, cloud and Fog/Edge computing, HPC, virtualization technology, and file and storage systems. He received the IEEE TCSC Award for Excellence in Scalable Computing (Middle Career Researcher) in 2020. He is an associate editor for the IEEE Internet Computing magazine. He is a Senior member of the ACM and a member of the IEEE.

  • Ioannis Konstantinou Ioannis Konstantinou  &

    Ioannis Konstantinou

    Ioannis Konstantinou is an Assistant Professor in the Department of Computer Science and Telecommunications of the University of Thessaly and a senior researcher at the CSLAB of the National Technical University of Athens (NTUA). He currently serves as a Member of the Board of Directors of KTP SA. He received his Diploma in Electrical and Computer Engineering from NTUA in 2004, his M.Sc. in Techno-Economic Systems from NTUA in 2007 and his PhD from NTUA in 2011. His research interests lie in the field of large scale distributed data management systems (Cloud Computing and Big-Data systems).

  • Javid Taheri Javid Taheri

    Javid Taheri

    Javid Taheri is a Full Professor at the Department of Computer Science at Karlstad University, Sweden. He is the recipient of many awards including being selected as one of the top 200 young researchers in the world by the Heidelberg Forum in 2013, the recipient of several best paper awards since 2007, and the recipient of the prestigious IEEE Middle Career Researcher award from TSCS in Scalable Computing in 2019. His research interests include Cloud Computing, Edge/Fog Computing, Network Function Virtualization, Software-defined Networking, and AI-based optimization techniques. He co-authored over 200 scientific articles and papers.

Articles (12 in this collection)