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...
Cloud native data pipelines have become an enabling ingredient of the modern enterprise analytics to fulfill the ever-increasing demand of a scale-loving, resilient, and real-time processing of a wide range of data sources. Organizations currently produce large amounts of structured, semi-structured, and unstructured d...
Cloud-native databases have become a major deployment paradigm for commercial applications and services in recent years. One of the most promising development trends in cloud-native databases is to support multi-primary architecture with shared storage layers. However, when different writer nodes simultaneously access...
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