Results 61 to 70 of about 7,613 (185)
Serverless Geospatial Data Processing Workflow System Design
Geospatial data and related technologies have become an increasingly important aspect of data analysis processes, with their prominent role in most of them.
Mete Ercan Pakdil, Rahmi Nurhan Çelik
doaj +1 more source
Abstract Amidst numerous global crises, decision‐makers have recognized the critical need for fact‐based advice, driving unprecedented data collection. However, a significant gap persists between data availability and knowledge generation, primarily due to time and resource constraints.
Andrea Kölzsch +19 more
wiley +1 more source
Data pipeline approaches in serverless computing: a taxonomy, review, and research trends
Serverless computing has gained significant popularity due to its scalability, cost-effectiveness, and ease of deployment. With the exponential growth of data, organizations face the challenge of efficiently processing and analyzing vast amounts of data ...
Zahra Shojaee Rad, Mostafa Ghobaei-Arani
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Cloud Functions and Serverless Computing
Abstract: Cloud Function in the simplest words is a Function-as-a-Service (FaaS). FaaS is actually a family of the serverless computing category. “Serverless” means that the user can focus on its application logic without dealing with infrastructure at all. Painless development, deployment, and maintenance of a web API is still not a turn-key solution,
Vijay Kumar, Talwinder Kaur
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ABSTRACT Determining the optimal granularity level for microservices applications is a critical challenge in modern software architecture. This study leverages the Service Weaver framework to investigate the performance and resilience implications of different service granularity configurations in a public cloud environment.
Camila Medeiros Rêgo +2 more
wiley +1 more source
PESC ‐ Parallel Experience for Sequential Code
ABSTRACT The need for computational resources grows as computational algorithms gain popularity in different sectors of the scientific community. Sequential codes need to be converted to parallel versions to optimize the use of these resources. Maintaining a local infrastructure for the execution of distributed computing, through desktop grids, for ...
Henrique C. T. Santos +3 more
wiley +1 more source
The widespread deployment of large-scale, compute-intensive applications such as high-performance computing, artificial intelligence, and big data is leading to convergence between cloud and high-performance computing infrastructures. Cloud providers are
Valerio Besozzi +3 more
doaj +1 more source
Adaptive DNA Cryptography With Intelligent Machine Learning for Cloud Data Defense
Algorithm 2 outlines the process of decrypting DNA‐encoded data retrieved from cloud storage. The DNA‐encoded fragments are first retrieved from the cloud and then concatenated to reconstruct the complete DNA‐encoded data. Subsequently, the DNA sequence is decoded back into encrypted digital data using the reverse of the defined encoding scheme ...
Animesh Kairi +4 more
wiley +1 more source
Serverless computing has emerged as a new mindset when it comes to cloud computing, promising efficient resource utilization, automatic scaling, and cost optimization for a wide range of applications. This thesis explores the adoption, performance, and cost considera tions of deploying applications that use intend to use serverless functions, one of ...
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ABSTRACT The integration of big data into nephrology research will open new avenues for analyzing and understanding complex biological datasets, driving advances in personalized management of kidney diseases. This paper describes the multifaceted challenges and opportunities by incorporating big data in nephrology, emphasizing the importance of data ...
Riste Stojanov +12 more
wiley +1 more source

