Chuan-Xiu Chi, Yi-Ran Zhang, Qi-Bo Sun et al.
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Preprint
Sep 2026
Proliferation of cloud-based latency-sensitive workloads requires infrastructures tuned to their workload-specific latency constraints. Today, they shape the cloud from a generalized computing platform to diverse workload-specific cloud environments. As the demand for latency-sensitive workloads increases, cloud servic...
Tharindu B. Hewage, Shashikant Ilager, Maria Rodriguez Read et al.
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T. Khan, Wen-Hong Tian, Shashikant Ilager et al.
· 79 citations
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Review
Dec 2025
The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms. These approaches are often unable to scale or ad...
Siva Sai, Ishika Goyal, Shubham Sharma et al.
· Software, Practice & Experie... · 7 citations
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Results show that runtime stability-aware decision making can improve the efficiency and predictability of self-adaptation outcomes in a controlled cloud setting.
M. Salama, Rami Bahsoon, R. Buyya
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Jul 2026
ADASCALE is an adaptive framework that jointly scales and places microservice replicas under multi-dimensional dynamics that consistently meets SLO targets and improves both latency and throughput.
Ming Chen, Muhammed Tawfiqul Islam, Maria Rodriguez Read et al.
· arXiv.org · 0 citations
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