Research & Papers

CARA framework cuts cloud consolidation costs with 3.57% reliability gain

New CARA algorithm certifies local repairs with false-positive risk capped at 5%.

Deep Dive

Cloud consolidation typically relies on simulator-based placement pipelines that test many repair actions but only deploy when multiple reliability criteria improve simultaneously. The problem: reusing search scenes to validate the chosen action invalidates the evidence, and scalarizing criteria can sacrifice the weakest one. CARA (Certificate-Aligned Recomposition) fixes this with an incumbent-anchored approach that cleanly separates adaptive proposal generation from a one-use deployment decision.

Within a bounded two-host neighborhood, CARA uses an admissible bound to recover the exact top-P distinct actions under a mixed paired-binary/fixed-bet certificate order. It then commits one action's betting plans before running fresh paired certification on held-out views. The authors prove the probability of falsely declaring four-way improvement is at most .05, regardless of upstream search complexity. In a prospective frozen study over 128 independent synthetic environments with four repeated contexts, the fail-closed terminal policy improved a development-selected same-host-count incumbent on all five evaluation endpoints in every environment. J dropped by 3.57 percentage points, continuous burdens by 21–28%, and matched ordering sensitivity showed absolute mean gaps below 5.3×10⁻⁴. CARA couples exact, auditable proposal recovery with selection-robust fresh certification for dependable last-mile local repair.

Key Points
  • CARA separates proposal generation from one-use deployment, avoiding invalidated test evidence.
  • False-positive rate for four-way improvement capped at 0.05, proven under stated assumptions.
  • Across 128 synthetic environments, J fell 3.57 percentage points and continuous burdens dropped 21–28%.

Why It Matters

Cloud operators can now certify placement repairs with statistical guarantees, reducing risk in large-scale consolidation decisions.

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