Sustainable Messaging Architecture Report
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Sustainable IoT & Cloud Messaging Hub
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Grounded in Research
MEO Model: Bessis's optimization of request-response pairs.
Hybrid Piggybacking: Rathi's technique for merging replicas into new payloads.
QoS-Aware: Abdullah's differentiation of HP (High Priority) and BE (Best Effort).
Applying research synthesis...
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Integrated Research Repository
Rathi & Borkotoky
"Energy-Efficient and Latency-Aware Message Replica..."
- • Concept: Hybrid approach for IoT networks with small message sizes.
- • Mechanism: Piggybacks replicas in payloads of frames that carry new data.
- • Benefit: Outperforms separate-frame repetition in energy-per-message.
Bessis, Sotiriadis, Pop
"Novel message-exchanging optimization (MEO) model..."
- • Concept: Minimizing the sum of requests and responses as a whole.
- • Context: Federated Clouds and Inter-Cloud discovery.
- • Benefit: Reduces cumulative overhead in resource discovery phases.
Abdullah & Yang
"A QoS Aware Message Scheduling Algorithm in IoT..."
- • Concept: Classification into HP (High Priority) and BE (Best Effort).
- • Mechanism: Cross-layer methodology involving routing and scheduling.
- • Benefit: Protects mission-critical data while allowing BE nodes to sleep.
G Dhanabalan et al.
"Energy Efficient Data Transfer... using MQTT"
- • Concept: Pub-Sub efficiency for intermittent sensor networks.
- • Mechanism: QoS levels (0, 1, 2) impact on battery life.
- • Benefit: Drastic reduction in packet headers vs HTTP.
Ferraz Junior et al.
"Energy-efficient and context-aware secure messages"
- • Concept: End-to-end security on constrained devices.
- • Mechanism: Payload and topic standardization for cognitive IoT.
- • Benefit: Secure delivery without exceeding energy budgets.
Sukhpal Singh Gill
"Taxonomy for Sustainable Cloud Computing..."
- • Concept: 360-degree view of energy and carbon footprints.
- • Mechanism: Thermal-aware scheduling and renewable energy integration.
- • Benefit: Long-term sustainability across the entire stack.
Protocol Trade-off Matrix
Graph reflects synthesis of Rathi (2024) Hybrid Piggybacking metrics and Bessis (2013) MEO request/reply reduction models.
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