TL;DR
This research proposes an Automatic Scalable Cloud Environment based on Resource Demand and Time Limited Utilization with Data Deduplication (ASCE-RDTLU-DD) model for providing better Quality of Service (QoS) to the cloud users and demonstrates superior performance in resource scalability and deduplication when compared with traditional approaches.
Centralized data operations are often using in Small and medium-sized enterprises (SMEs) for easy data management, but there suffering from few limitations like cloud platform integration with bigdata yet many still face difficulties integrating cloud platforms with big-data capabilities in a scalable and governed mann...
The analysis of performance has shown that the proposed solution is much better in terms of throughput, latency and fault isolation than the conventional architectures, proving that microservices architecture with proper design presents a solid base of scalable data-intensive systems.
The fundamental principles and methodologies involved in building scalable data pipelines are explored, emphasizing architectural paradigms such as Lambda and Kappa architectures, and the role of distributed computing frameworks, stream processing engines, and cloud-based solutions are examined.
Abstract Modern research techniques have led to exponential growth in the volume and complexity of scientific data. Consequently, managing these volumes securely and efficiently has become a major challenge. While all research domains face these challenges, life science research is particularly affected because current...
An organized approach to the design and deployment of cloud-native data pipelines with the inclusion of data quality management, security controls, observability, and cost optimization is suggested, and throughput, latency and scalability modeling mathematical formulations are proposed in order to facilitate capacity p...
Seron is presented, a smart query routing system customized for multi-primary cloud-native databases with shared storage that generates workload-aware logical routing rules at different granularities using a two-stage framework, and actively detects and handles physical data collisions through judicious conflict modeli...
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