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.· 0 citations
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
Results show that runtime stability-aware decision making can improve the efficiency and predictability of self-adaptation outcomes in a controlled cloud setting.
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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