An empirical study of two production edge platforms using latency-sensitive cryptocurrency analytics workloads, conducted from a local Southeast-Asian client and three supplemental AWS cloud clients, reveals that platform-level latency advantages are dominated by client-edge proximity rather than systemic runtime differences.
Organizations processing historical datasets with billions of rows face a fundamental architectural choice: move data to computation (the traditional query-centric approach) or move computation to data. This paper presents the Computation-Proximate Pattern, an architecture that combines actor-based in-memory computatio...
A. Jaime· Distributed and parallel dat...· 0 citations
Results show that OnGP provides a robust online solution with efficiencies close to the Best Fit algorithm, while OffGP matches the near-optimal performance of Best Fit Decreasing within a 1.036% margin, confirming their value for time-critical applications.
Li-Feng Guo, Chang-Hong Lu, Qing-Jie Ye· Theory of Computing Systems· 0 citations
SACC is the first to treat probabilistic finality as a quantifiable risk budget, and consistently outperforms traditional 2PC and modern fast-path protocols in challenging environments, significantly improving commit rates while strictly bounding tail latency.
A controlled characterization framework that evaluates independently deployed CU and DU functions under matched hardware and traffic conditions and identify distinct CU and DU execution characteristics and motivate function-specific processor analysis and optimization is described.
Moojan Kamalzadeh, Larry J. Horner, Lin-Qi Xiao et al.· 0 citations
Accuracy on IoTMal-2026, matching or exceeding Deep SVDD, Deep SAD, and Kitsune under an identical protocol is evaluated, finding the model’s bidirectional recurrent component does not reliably improve mean accuracy over a simpler, convolution-only alternative.
Although cloud-native Spark offers a clear performance advantage over traditional MapReduce for speed-sensitive tasks, achieving high throughput requires high-bandwidth memory provisioning and the deployment of kernel-level eBPF networking techniques to mitigate Kubernetes network overhead.
Habiba Ben Abderrahmane, Yu-Nan Li, Assia Ben-Khelifa et al.· IEEE Access· 0 citations
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