Results 71 to 80 of about 15,666 (213)

PESC ‐ Parallel Experience for Sequential Code

Concurrency and Computation: Practice and Experience, Volume 37, Issue 12-14, 25 June 2025.
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, Luciano S. de Souza, Jonathan H. A. de Carvalho, Tiago A. E. Ferreira   +3 more
wiley   +1 more source

Serverless Cold Start Performance Optimization Based on Multi-Request Processing and Adaptive Hierarchical Scaling

IEEE Access
Serverless has gained significant attention due to its advantages of high elasticity, low cost, and reduced operational overhead. However, the cold start problem severely constrains its performance and user experience.
Liu Yu, Li Fu, Sun Chenhao
doaj   +1 more source

Adaptive DNA Cryptography With Intelligent Machine Learning for Cloud Data Defense

Engineering Reports, Volume 7, Issue 6, June 2025.
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, Tapas Bhadra, Saroj Kumar Pandey, Anurag Sinha, Anindya Nag   +4 more
wiley   +1 more source

Applicability Assessment of Technologies for Predictive and Prescriptive Analytics of Nephrology Big Data

PROTEOMICS, Volume 25, Issue 11-12, June 2025.
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, Milos Jovanovik, Sasho Gramatikov, Igor Mishkovski, Eftim Zdravevski, Darko Sasanski, Zorica Karapancheva, Goce Spasovski, Ivona Vasileska, Tome Eftimov, Wu Zhuojun, Joachim Jankowski, Dimitar Trajanov   +12 more
wiley   +1 more source

Execution of Serverless Functions Lambda in AWS Serverless Environment

International Journal on Recent and Innovation Trends in Computing and Communication, 2023
Serverless computing, epitomized by AWS Lambda, has revolutionized application development and deployment by abstracting away server management and offering auto-scalability. AWS Lambda's 15-minute maximum timeout for function execution, however, presents a unique challenge for users aiming to process longer tasks within the serverless framework.
openaire   +1 more source

Towards Efficient Serverless MapReduce Computing on Cloud-Native Platforms

Big Data Mining and Analytics
MapReduce is one of the most classic and powerful parallel computing models in the field of big data. It is still active in the big data system ecosystem and is currently evolving towards cloud-native environment.
Xu Huang, Rong Gu, Yihua Huang
doaj   +1 more source

Cloud-Native Architectures: Transforming Enterprise IT Operations [PDF]

Iranian Journal of Information Processing & Management
Background: The cloud-native architectures have reinvented the original strategies of the companies’ IT infrastructure approach and became popular due to the concepts of modularity, scalability, and resilience.
Lara Mwafaq, Noor Kadhim Meftin, Esharov Elzarbek Asanovich, Mohammed K. H. Al-Dulaimi, Talib Kalefa Hasan   +4 more
doaj   +1 more source

Vexless: A Serverless Vector Data Management System Using Cloud Functions

Proc. ACM Manag. Data
Cloud functions, exemplified by AWS Lambda and Azure Functions, are emerging as a new computing paradigm in the cloud. They provide elastic, serverless, and low-cost cloud computing, making them highly suitable for bursty and sparse workloads, which are ...
Yongye Su, Yinqi Sun, Minjia Zhang, Jianguo Wang   +3 more
semanticscholar   +1 more source

CloudSim 7G: An Integrated Toolkit for Modeling and Simulation of Future Generation Cloud Computing Environments

Software: Practice and Experience, Volume 55, Issue 6, Page 1041-1058, June 2025.
ABSTRACT Background Cloud Computing has established itself as an efficient and cost‐effective paradigm for the execution of web‐based applications, and scientific workloads, that need elasticity and on‐demand scalability capabilities. However, the evaluation of novel resource provisioning and management techniques is a major challenge due to the ...
Remo Andreoli, Jie Zhao, Tommaso Cucinotta, Rajkumar Buyya   +3 more
wiley   +1 more source

A Brief History of Cloud Application Architectures

Applied Sciences, 2018
This paper presents a review of cloud application architectures and its evolution. It reports observations being made during a research project that tackled the problem to transfer cloud applications between different cloud infrastructures.
Nane Kratzke
doaj   +1 more source