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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 ↗140 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.
- GitHub · Repository created · First archived
YeamimHossainSajid/uber-doma-architecture ↗
An enterprise blueprint for Uber's DOMA in Spring Boot. Eliminates microservice sprawl and internal network latency using tiered API gateways, gRPC, and isolated databases
- OpenAlex · Published · First archived
Cloud security frameworks: a comprehensive analysis of security controls, governance models, and implementation challenges in modern cloud infrastructures ↗
Abstract Cloud computing has become the preferred technological foundation for modern businesses and governments, offering users unparalleled flexibility, scalability, and cost savings. The complexity of securing distributed cloud environments, which are characterized by shared responsibility, multitenancy models, and expanded attack surfaces, has increased exponentially. This study evaluates and categorizes existing cloud security frameworks into two primary classifications: Industry-Wide Frameworks (vendor-neutral), comprising General Cybersecurity Frameworks (NIST CSF v2.0, ISO/IEC 27017:20…
- OpenAlex · Published · First archived
XGBoost-Based Intelligent Intrusion Detection for Secure Cloud Computing Using Correlation-Based Feature Selection ↗
Cloud Computing has emerged as an essential platform for the modern applications. But the growing complexity of the attacks puts pressure on the security of cloud environments. Current intrusion detection systems (IDS) have weaknesses of detection inaccuracy, high false alarm rate and low efficiency in processing high-dimensional network traffic data. To overcome these drawbacks, this study suggests an intelligent intrusion detection framework based on XGBoost algorithm with correlation-based feature selection to remove redundant features, decrease the computational complexity, and enhance the…
- OpenAlex · Published · First archived
UniOVA: Universal On-demand Video Analytics with Edge-Cloud Collaborative Multimodal LLM ↗
Video analytics is ubiquitous in modern society, and the emergence of Multimodal Large Language Models (MLLMs) has made its application even more extensive. A common way to support MLLM-based video analytics is to continuously stream video to the cloud and then extracts visual features and samples frames for analysis. However, this cloud-centric architecture can introduce high transmission overhead. Simultaneously, the fixed-rate or uniform sampling approaches employed in these systems will miss critical visual evidence relevant to the query, resulting in reduced accuracy.; AB@In this paper, w…
- OpenAlex · Published · First archived
Supervoxel-based multi-level region growing method for surface point cloud extraction in intersecting tunnels ↗
Abstract Mine intersecting tunnels are characterized by multi-directional connectivity, irregular surface morphology, and complex ancillary pipelines and facilities. Existing methods often fail to achieve complete extraction of tunnel surface point clouds. Therefore, this paper proposes a precise extraction method for intersecting tunnel surface point clouds based on supervoxel-based multi-level segmentation. First, supervoxels are generated using a boundary-constrained and cross-surface segmentation approach, which are then classified by linearity from saliency features and used as processing…
- OpenAlex · Published · First archived
Confidence-Weighted Multiscale Point-to-Plane Change Detection for Point-Cloud-Based Object Monitoring ↗
Repeated three-dimensional point clouds provide a practical basis for monitoring local geometric deformation, but conventional pointwise or single-scale comparison is sensitive to residual registration error, nonuniform sampling, measurement noise, missing observations, and isolated outliers. To address these limitations, this study develops an interpretable confidence-weighted multiscale point-to-plane detector for spatially coherent change in repeated point clouds. Local normals are estimated from covariance matrices at several neighbourhood scales; point-to-plane residuals are fused across…
- OpenAlex · Published · First archived
Real-time YOLO across Cloud, edge, and IoT: architectures, optimisations, and deployment patterns ↗
Real-time object detection with the YOLO family is now deployed in cloud data centres, edge servers, and tiny IoT devices, each operating under different constraints of latency, bandwidth, memory, energy, and cost. In this paper, a deployment-centric survey of YOLO is presented, treating YOLO as a scalable family of models embedded in distributed systems rather than a single benchmarked network. First, object detection paradigms and the evolution of YOLO are reviewed, and a macro–meso–micro view of cloud, edge, and IoT deployment is introduced. Then, lightweight architectures and compression t…
- Hacker News · Posted on Hacker News · First archived
Codex Security Cloud ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Codex Cloud Environments ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
OpenAI – Codex gets reusable cloud envs that work across devices ↗
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.
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.