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
The description of the research topic of the two positions can be found
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:
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
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
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
E-mail:[log in to unmask]
[log in to unmask]
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