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Earlier sources: Cloud
This software thread follows cloud through original research, public projects, and source reports. Read the evidence below to see which developments are represented in SYMTRI’s archive.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗138 classified signals in the fourteen-day window. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- OpenAlex · Published · First archived
Research on Yard Segment Allocation of Automated Container Terminals Considering Vessel Arrival Uncertainty ↗
Automated Container Terminals (ACTs) are increasingly challenged by uncertain vessel arrival times, which cause fluctuations in unloading demand and disrupt pre-established yard allocation plans. To address this issue, this study develops a yard allocation model integrating dynamic inventory, main-road capacity constraints, and collaborative yard crane operations. The model jointly minimizes the range of traffic flows across periods and the range of terminal inventory levels across yard segments, aiming to improve traffic smoothness and spatial balance. An Improved Detective Behavior Algorithm…
- OpenAlex · Published · First archived
System Modeling and Performance Analysis of Cloud VirtualMachine Allocation Strategy with Entry Control and Reservation Mechanism ↗
With the rapid development of the Internet, the number of requests in cloud computing is increasing rapidly. However, cloud resources are limited, and the surge in demand will lead to performance degradation in cloud services. To improve the performance of cloud services, we propose a cloud virtual machine allocation strategy based on reservation mechanism and entry control. In the presented strategy, a dynamic probability threshold is adopted to suppress the interference of low-priority requests on high-priority requests, while reserved virtual machines and cache resources are deployed to gua…
- OpenAlex · Published · First archived
Cloud–Edge Collaborative Energy Management System: Theory and Practical Experience ↗
Rapid growth in renewable generation and electricity-market participation is increasing the number and autonomy of grid-connected resources, challenging conventional centralized energy management systems (EMSs). This paper proposes a cloud–edge collaborative EMS comprising a cloud brain, heterogeneous edge nodes, and a cloud–edge collaboration platform (CCP). The cloud retains wide-area security, market clearing, reserve coordination, and risk-limited dispatch, whereas each edge retains private device models and fast local control. A time-coupled flexibility envelope exposes only aggregate exc…
- OpenAlex · Published · First archived
Cloud-deployable deep learning for smartphone-based body fluid cytology: a multi-architecture evaluation of YOLO and RT-DETR models ↗
Abstract Accurate cytological evaluation of body fluid specimens is essential for diagnosing inflammatory and malignant conditions, yet manual interpretation remains labor-intensive and subject to inter-observer variability. This study developed and deployed a smartphone-based deep learning framework for multi-class body fluid cell classification integrating object detection, ROI-based classification, and explainable artificial intelligence (XAI). Three hundred Wright–Giemsa–stained cytospin slides, one per patient, were used to generate 7149 smartphone-acquired images, which were annotated an…
- OpenAlex · Published · First archived
Three-Dimensional Continuum Point Cloud Method for Finite-Strain Thermoelasticity ↗
We present applications of the Continuum Point Cloud Method (CPCM) to three-dimensional, geometrically nonlinear thermoelastic problems. A set of partial differential equations that govern the mechanical and thermal responses of a continuous medium was established by employing the conservation of mass, momentum, and energy, enabling analysis of a body and the interacting thermal field. The partial differential equations for the resulting nonlinear field were directly linearized and discretized using CPCM differential operators, yielding a system of algebraic equations. This system was solved i…
- OpenAlex · Published · First archived
Traceable Point-Cloud Inspection of Variable-Diameter Steel Pipes Using Multi-Scale Residual Projection and Field-Oriented Joint Calibration ↗
Surface inspection in continuous steel-pipe production is increasingly expected to provide timely and traceable quality information for downstream review and disposition, rather than only identifying visible defects. This requirement becomes challenging when changes in pipe specification simultaneously alter point-cloud scale and cylindrical surface geometry, while surface disturbances, processing-time constraints, and asymmetric field costs further affect inspection decisions. To address these coupled issues, this study develops a traceable 3D inspection framework that connects point-cloud or…
- OpenAlex · Published · First archived
NSync: Automated Cloud Infrastructure-as-Code Reconciliation with AI Agents ↗
Cloud infrastructure is managed through a mix of interfaces—traditionally, cloud consoles, command-line interfaces (CLI), and SDKs are the tools of choice. Recently, Infrastructure-as-Code/IaC frameworks (e.g., Terraform) have quickly gained popularity. Unlike conventional tools, IaC frameworks encode the infrastructure in a ”source-of-truth” configuration. They are capable of automatically carrying out modifications to the cloud—deploying, updating, or destroying resources—to bring the actual infrastructure into alignment with the IaC configuration. When IaC frameworks are used together with…
- OpenAlex · Published · First archived
An Empirical Study and Benchmark of Kubernetes Misconfiguration Scanners ↗
Kubernetes is a widely adopted container orchestration framework, yet misconfigurations remain a leading cause of cloud security incidents and a major challenge for practitioners. Automated security scanners are commonly used to detect such misconfigurations, but their effectiveness has not been systematically evaluated. As a result, it remains unclear which tools can be trusted, what misconfigurations they reliably detect, and to what extent they improve Kubernetes security. This paper presents the first systematic investigation of ten prominent Kubernetes security scanners that are actively…
- Hacker News · Posted on Hacker News · First archived
InstaCloud: Agent-Native Serverless Cloud ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
LocalThings: SmartThings devices in HomeAssistant without a cloud connection ↗
Hacker News discussion.
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Cloud
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
See the collection and counting methodology ↗ · Read the weekly synthesis ↗
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.