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Fri, 9 Jun 2023 14:31:06 +0200
Carlo Vallati <[log in to unmask]>
ACM SIGMM Interest List <[log in to unmask]>
Carlo Vallati <[log in to unmask]>
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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 

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
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]




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