In our latest implementation phase within the Allegro project, we focused on mitigating OSNR degradations in metro/regional domains that traditionally necessitate P2P (Point-to-Point) connections. While effective, P2P introduces latency due to O/E/O conversions and...
Allegro Project Update: OSNR Margins and Light-Tree Optimization
As part of the Allegro project, we explored how OSNR (Optical Signal-to-Noise Ratio) margins influence the architecture of regional optical networks—particularly the efficiency of light-tree structures and transponder deployment. 🔍 Key Insights: ✅ As the OSNR margin...
Evaluating ALLEGRO’s Proposed Architecture on Telefónica’s Spanish Network
As part of our ongoing work in the ALLEGRO project, we conducted a comprehensive simulation study using Telefónica’s regional topologies (domains A–E)—each comprising 30 nodes. 🔗 Key setup highlights: 6 nodes per domain were linked to the national ultra-high-speed...
Insights from ALLEGRO : Multi-Objective Optimization without 𝜀-Constraints
In our recent analysis of Figure 35 from ALLEGRO , we explored the optimization landscape without 𝜀-constraints and the outcomes were remarkable. 📈 Key finding: Even in the absence of constraint tuning (indicated by "inf"), we identified a feasible solution that...
Insights from Lexicographic Optimization in the Allegro Project
In our latest analysis within the Allegro project, we dove deeper into how objective prioritization influences optimization outcomes. 🧠 From the charts, one pattern is unmistakable: The primary objective (first in the lexicographic order) consistently achieves the...
Exploring Sequencing Strategies through Lexicographic Optimization
As part of our work on the Allegro project, we investigated the effects of various sequencing strategies by framing our multi-objective optimization challenge as a lexicographic optimization problem. 📊 In the analysis, we explored all permutations of three key...
Workload Distribution & Cost Analysis in Hierarchical Cloud-Edge Infrastructures
As part of the Allegro Project, we explored how infrastructure layers are utilized under different optimization goals — with some insightful findings. 📊 Layer Utilization (Figure 32): Latency Optimization heavily favors the near-edge due to its proximity and...
Performance Evaluation in Hierarchical Cloud-Edge Infrastructure
As part of our work with Allegro, we evaluated performance across two hierarchical cloud-edge topologies: 📊 Topologies Analyzed: Basic: 19 nodes Extended: 53 nodesBoth consist of 3 layers: near-edge, far-edge, and cloud, with the cloud layer provisioned to handle all...
Advancing Resource Allocation with Multi-Agent Rollout ALLEGRO Project Update
In the context of the ALLEGRO Project , we developed a powerful Multi-Agent Rollout Mechanism to further optimize microservice placement across distributed edge/cloud infrastructures. 🌍⚙️ 🧠 Why Rollout?Standard heuristics can be fast but suboptimal. Exact methods? Too...
Project NEWS: ALLEGRO Greedy Resource Allocation Mechanism
As part of the #ALLEGRO project , we developed an intelligent Greedy Resource Allocation Mechanism for efficient microservice placement across edge/cloud infrastructure. 🌐⚙️ 🔍 What does it do?Our heuristic approach balances performance and resource efficiency by...