Dear all, We are looking for bright and highly motivated postdoctoral / graduate research fellows for two positions at the Department of Information Engineering at the University of Pisa. The positions are funded within the framework of the national center on "HPC, Big Data and Quantum Computing - Future HPC & Big Data". The research activities will be carried out in the "Cloud Computing, Big Data & Cybersecurity" laboratory (https://crosslab.dii.unipi.it/cloud-computing-big-data-cybersecurity-lab). The description of the research topic of the two positions can be found below. Interested people are requested to send an expression of interest by submitting a curriculum vitae, a one-page research statement showing motivation and understanding of the topic of the position, and the official Transcript of Record. The expression of interest must be sent via the following form: https://forms.gle/v5NtN1V7TouqoJhM9 Applications will be reviewed continuously until 25th June 2022. The starting date of the position is Fall 2023. The duration of each position is for one year with the option for renewal. The gross compensation will be 28000 EUR/year. For further information please contact: Carlo Vallati <[log in to unmask]> Antonio Virdis <[log in to unmask]> ================================================ Energy efficient Edge Computing ================================================ Future computing platforms will be characterized by multiple computing layers between current centralized cloud computing platforms and the end users/cyberphysical systems. These edge computing layers will be designed to support applications with stringent security and latency requirements. These intermediate computing layers are expected to be deployed on a large scale, implementing a cloud continuum infrastructure. As the infrastructure size grows, energy efficiency will be a must, in order to ensure scalability and minimize the footprint of this global infrastructure. Energy efficiency for the edge, however, will be a challenge, considering the limited computing resources of edge nodes. The proposed research plan aims at studying innovative strategies for energy efficiency at the edge. The candidate will aim at investigating innovative structural energy management strategies and novel resource allocation and application orchestration solutions to be deployed on a large scale to minimize the overall energy footprint of the infrastructure. Both theoretical and practical skills are expected to carry out this work. ================================================ Service Continuity in Edge Computing ================================================ Edge computing is strongly emerging as an extension of cloud computing towards the network edge. With edge computing, microservices can run in a pervasive infrastructure of geo-distributed micro data centers that are located close to (or co-located with) access networks. Providing edge-hosted microservices has a great potential but, at the same time, reveals some issues. First, mobile end users at the edge may roam across different network access points. When this occurs, microservices accessed by the user may need to be migrated across edge servers in different micro data centers to maintain proximity to the client. Second, to balance the load during high-load periods or to reduce the number of active hosts during low-load periods, microservices could be moved across edge data centers, thus enabling more dynamic power-saving mechanisms. In scenarios such as those presented above, several actions may need to be taken to guarantee service continuity. On the one hand, the state of the microservice should be maintained across edge servers. On the other hand, service communication should be maintained as much as possible transparently to the end-user and to the application. The proposed research plan aims at studying innovative solutions to support the service continuity in edge-computing deployments. The candidate will be requested to identify (or extend) suitable communication protocols, orchestration methodologies and/or resource-allocation algorithms, to ensure service continuity is maintained during the whole service lifecycle. Both theoretical and practical skills are expected to carry out this work. -- -- ------------------------------ ------- Carlo Vallati, PhD Associate Professor Computer Networking Group Department of Information Engineering University of Pisa Via Diotisalvi 2, 56122 Pisa - Italy Ph. : (+39) 050-2217.572 (direct) .599 (switch) Fax : (+39) 050-2217.600 Skype: warner83 E-mail:[log in to unmask] http://www.iet.unipi.it/c.vallati/ ----------------------------------------------- ############################ Unsubscribe: [log in to unmask] If you don't already have a password for the LISTSERV.ACM.ORG server, we recommend that you create one now. A LISTSERV password is linked to your email address and can be used to access the web interface and all the lists to which you are subscribed on the LISTSERV.ACM.ORG server. 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