REACH is proposed, a reinforcement learning-based microservice rescheduling framework that enables a sim-to-real deployment pipeline for adapting microservice placement under fluctuating resource availability and performance variations across distributed infrastructures.
Xu Bai, Muhammed Tawfiqul Islam, Rajkummar Buyya et al.· IEEE International Conferenc...· 0 citations
This study aims to compare and analyze the different aspects of ultra-large data storage systems in cloud computing, with the help of a mind-mapping diagram of cloud-oriented data storage (CODS) elements.
Ajay Kumar, S. Bawa, Neeraj Kumar et al.· ACM Computing Surveys· 0 citations
Late fusion is an efficient, noise-robust, self-characterizing alternative to reconstruction for circuit-cutting QML and claims advantage over classical machine learning - consistent with recent benchmarking, quantum offers no accuracy edge on these datasets.
Prabhjot Singh, A. Toosi, Rajkummar Buyya· 0 citations
Results show that object-value signals rank what to retain, while persistent responsibility determines which group bears reclamation pressure, which shows that object-value signals rank what to retain, while persistent responsibility determines which group bears reclamation pressure.
CELLServe formalizes SLO-constrained joint resource provisioning as an optimization problem with a dedicated algorithm, and introduces an opportunistic instance merging strategy for decode phase functions to reclaim fragmented resources.
Zejian Wang, Nan Lin, Zinuo Cai et al.· ACM Transactions on Architec...· 0 citations
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