Tag: Cloud Computing and Resource Management

Replay-as-a-Service reduces tail latency in storage-disaggregated databases
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in DatabaseStudy presents Replay-as-a-Service technique to reduce tail latency in storage-disaggregated OLTP databases by decoupling log replay from storage engine, achieving 40% latency reduction.

Telemetry-guided multi-cloud storage resists reconstruction
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AI-driven hybrid architecture for multi-cloud storage using telemetry-guided dynamic fragmentation, encryption, and distributed trust to resist data reconstruction attacks and provider breaches.

STCC middleware evaluated for Cassandra consistency trade-offs
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Middleware-enforced Timed Causal Consistency for Cassandra enables adaptive runtime consistency tuning without database modifications, with energy-performance-consistency trade-offs evaluated.

Proactive VM consolidation cuts energy use and SLA violations
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Framework for VM consolidation combining workload prediction and physics-constrained reinforcement learning. Achieves 23.2% energy reduction and 43.5% SLA violation reduction in cloud datacenters.

Hybrid deep learning improved edge-cloud task scheduling in simulation
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Deep reinforcement learning framework for adaptive task scheduling in edge-cloud computing with improved SLA compliance, reduced operational costs, and lower task rejection rates.

AGENT improved makespan in heterogeneous cloud task allocation
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AGENT framework improves task allocation in cloud systems using elitism-guided genetic algorithm with adaptive parameters, achieving 3-29% makespan improvements for heterogeneous VM scheduling.








