3 citations · 7 across the 7 of their papers we have counts for
7 papers
On the Complexity of Reachability Properties in Serverless Function Scheduling
Giuseppe De Palma, Saverio Giallorenzo, Jacopo Mauro +2
Functions-as-a-Service (FaaS) is a Serverless Cloud paradigm where a platform manages the execution scheduling (e.g., resource allocation, runtime environments) of stateless functi…
Affinity-aware Serverless Function Scheduling
Giuseppe De Palma, Saverio Giallorenzo, Jacopo Mauro +2
Functions-as-a-Service (FaaS) is a Serverless Cloud paradigm where a platform manages the scheduling (e.g., resource allocation, runtime environments) of stateless functions. Recen…
Towards a Function-as-a-Service Choreographic Programming Language: Examples and Applications
Giuseppe De Palma, Saverio Giallorenzo, Jacopo Mauro +2
Choreographic Programming (CP) is a language paradigm whereby software artefacts, called choreographies, specify the behaviour of communicating participants. CP is famous for its c…
FunLess: Functions-as-a-Service for Private Edge Cloud Systems
Giuseppe De Palma, Saverio Giallorenzo, Jacopo Mauro +2
We present FunLess, a Function-as-a-Service (FaaS) platform tailored for the private edge cloud system. FunLess responds to recent trends that advocate for extending the coverage o…
Serverless Scheduling Policies based on Cost Analysis
Giuseppe De Palma, Saverio Giallorenzo, Cosimo Laneve +3
Current proprietary and open-source serverless platforms follow opinionated, hardcoded scheduling policies to deploy the functions to be executed over the available workers. Such p…
Topology-aware Serverless Function-Execution Scheduling
Giuseppe De Palma, Saverio Giallorenzo, Jacopo Mauro +2
Cloud-edge serverless applications or serverless deployments spanning multiple regions introduce the need to govern the scheduling of functions to satisfy their functional constrai…
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders
Andrea Asperti, Matteo Trentin
In the loss function of Variational Autoencoders there is a well known tension between two components: the reconstruction loss, improving the quality of the resulting images, and t…