Name
Abstract | ||
|---|---|---|
Technologies such as mobile, edge, and cloud computing have the potential to form a computing continuum for new, disruptive applications. At runtime, applications can choose to execute parts of their logic on different infrastructures that constitute the continuum, with the goal of minimizing latency and battery consumption and maximizing availability. In this article, we propose A3-E, a unified model for managing the life cycle of continuum applications. In particular, A3-E exploits the Functions-as-a-Service model to bring computation to the continuum in the form of microservices. Furthermore, A3-E selects where to execute a certain function based on the specific context and user requirements. The article also presents a prototype framework that implements the concepts behind A3-E. Results show that A3-E is capable of dynamically deploying microservices and routing the application’s requests, reducing latency by up to 90% when using edge instead of cloud resources, and battery consumption by 74% when computation has been offloaded.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3226644 | ACM Transactions on Internet Technology |
Keywords | Field | DocType |
Computing continuum, Functions-as-a-Service, edge computing, fog computing, mobile computing, ops automation, real-time systems | Mobile computing,Edge computing,Computer science,Exploit,Microservices,Unified Model,User requirements document,Computation,Distributed computing,Cloud computing | Journal |
Volume | Issue | ISSN |
19 | 2 | 1533-5399 |
Citations | PageRank | References |
6 | 0.50 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luciano Baresi | 1 | 2533 | 172.62 |
| Danilo F. Mendonça | 2 | 21 | 1.91 |
| Martin Garriga | 3 | 64 | 7.87 |
| Sam Guinea | 4 | 1028 | 65.08 |
| Giovanni Quattrocchi | 5 | 52 | 7.95 |