Gabriele Russo Russo

About Gabriele Russo Russo

Gabriele Russo Russo, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at Università degli Studi di Roma Tor Vergata, specializes in the field of Distributed Systems, Serverless Computing, Cloud Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

A framework for offloading and migration of serverless functions in the Edge–Cloud Continuum

Wasimoff: Distributed computation offloading using WebAssembly in the browser

QoS-aware offloading policies for serverless functions in the Cloud-to-Edge continuum

FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum

Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources

Compute Continuum: What Lies Ahead?

Using Reinforcement Learning to Control Auto-Scaling of Distributed Applications

Artifact: Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum

Gabriele Russo Russo Information

University

Position

Research Associate

Citations(all)

314

Citations(since 2020)

287

Cited By

125

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Gabriele Russo Russo Skills & Research Interests

Distributed Systems

Serverless Computing

Cloud Computing

Top articles of Gabriele Russo Russo

A framework for offloading and migration of serverless functions in the Edge–Cloud Continuum

Pervasive and Mobile Computing

2024/5/1

Wasimoff: Distributed computation offloading using WebAssembly in the browser

2024/3/11

QoS-aware offloading policies for serverless functions in the Cloud-to-Edge continuum

Future Generation Computer Systems

2024/2/23

FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum

2023/12/4

Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources

ACM Transactions on Autonomous and Adaptive Systems

2023/10/14

Compute Continuum: What Lies Ahead?

2023/8/28

Using Reinforcement Learning to Control Auto-Scaling of Distributed Applications

2023/4/15

Gabriele Russo Russo
Gabriele Russo Russo

H-Index: 6

Artifact: Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum

2023/3/13

Serverledge: Decentralized function-as-a-service for the edge-cloud continuum

2023/3/13

Serverless functions in the cloud-edge continuum: Challenges and opportunities

2023/3/1

Runtime adaptation of data stream processing systems: The state of the art

2022/9/10

Real-time analysis of market data leveraging Apache Flink

2022/6/27

Gabriele Russo Russo
Gabriele Russo Russo

H-Index: 6

Valeria Cardellini
Valeria Cardellini

H-Index: 21

Towards qos-aware function composition scheduling in apache openwhisk

2022/3/21

AI‐Driven Performance Management in Data‐Intensive Applications

Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning

2021/10/12

MEAD: Model-based vertical auto-scaling for data stream processing

2021/5/10

Elastic pulsar functions for distributed stream processing

2021/4/19

Gabriele Russo Russo
Gabriele Russo Russo

H-Index: 6

Valeria Cardellini
Valeria Cardellini

H-Index: 21

Towards a security-aware deployment of data streaming applications in fog computing

2021/1

Model-based auto-scaling of distributed data stream processing applications

2020/12/7

Gabriele Russo Russo
Gabriele Russo Russo

H-Index: 6

See List of Professors in Gabriele Russo Russo University(Università degli Studi di Roma Tor Vergata)

Co-Authors

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