UTD24 Research Publishing
UTD24 Journal SNSC
Computer science

Systems, Networks and Secure Computing

Reliable computation from architecture to distributed infrastructure.

ISSN pending Monthly (12 issues per year) Open access
Editorial intake: preparing
Current volume

Articles

19 published · View all articles →

Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: From Benchmark Results to External Validity

Sawyer Morrison, Spencer Franklin, Tanner Pearson

Benchmark performance is useful only when the evaluation setting represents the populations and operating conditions to which the result will be transferred. This structured evidence review evaluates "Unsupervised Anomaly Detection in Cloud...

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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Human Oversight and Decision Accountability

Nolan Larson, Preston Carlson, Reid Newman

Human oversight is meaningful when intervention points, responsibility, escalation paths, and the evidence available to decision makers are explicitly defined. This structured evidence review evaluates "Unsupervised Anomaly Detection in Clo...

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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Evaluation Design and Construct Validity

Kieran Gardner, Landon Hoffman, Miles Schmidt

Evaluation is persuasive only when the measured outcome corresponds to the construct claimed by the study and the comparison answers the stated research question. This structured evidence review evaluates "Unsupervised Anomaly Detection in...

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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Scalability and Operational Maintainability

Grayson Crawford, Holden Lawson, Jared Johnston

Scalability includes not only throughput but also maintenance burden, observability, update procedures, and the ability to recover from operational failure. This structured evidence review evaluates "Unsupervised Anomaly Detection in Cloud-...

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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Risk Stratification and Threshold Selection

Dawson Woods, Emmett Patterson, Finn Jenkins

Risk stratification is a decision problem in which thresholds, class prevalence, error costs, and downstream actions must be evaluated together. This structured evidence review evaluates "Unsupervised Anomaly Detection in Cloud-Native Micro...

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Unsupervised Anomaly Detection in Cloud-Native Microservices via Cross-Service Temporal Contrastive Learning: Monitoring Performance and Model Drift

Abram Reynolds, Brooks Spencer, Clayton Freeman

A result that is credible at launch may degrade as inputs, workflows, and populations change, making longitudinal monitoring part of the evidence rather than an afterthought. This structured evidence review evaluates "Unsupervised Anomaly D...

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Observability for Zero-Trust Service Meshes

Zachary Marshall

This review examines observability for zero-trust service meshes. The organizing question is which telemetry can verify identity, policy enforcement, credential health, and exception handling without creating new privacy risks. Ten related...

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Failure Semantics in Edge Orchestration

Vincent Woods

This review examines failure semantics in edge orchestration. The organizing question is how distributed edge services should expose partial failure, retry, state loss, and degraded operation. Ten related scholarly sources are synthesized t...

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Post-Quantum Migration for Enterprise Networks

Tyler Wallace

This review examines post-quantum migration for enterprise networks. The organizing question is how organizations should sequence cryptographic inventory, hybrid deployment, interoperability testing, and retirement of vulnerable algorithms....

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