20 papers · ranked by Valyu relevance
Eric Jonas, Johann Schleier-Smith, Vikram Sreekanti, Chia-Che Tsai + 10 more
'Anurag Khandelwal' 'Qifan Pu' 'Vaishaal Shankar' 'João Carreira' 'Karl Krauth' 'Neeraja J. Yadwadkar' 'Joseph E. Gonzalez' 'Raluca Ada Popa' 'Ion Stoica' 'David A. Patterson'] Serverless cloud computing handles virtually all the system administration operations needed to make it easier for programmers to use the…
Valerio Besozzi, Matteo Della Bartola, Patrizio Dazzi, Marco Danelutto
The widespread deployment of large-scale, compute-intensive applications such as highperformance computing, artificial intelligence, and big data is leading to convergence between cloud and high-performance computing infrastructures. Cloud providers are increasingly integrating high-performance computing capabilities…
Abhinav Jangda, Donald Pinckney, Yuriy Brun, Arjun Guha
Serverless computing (also known as functions as a service) is a new cloud computing abstraction that makes it easier to write robust, large-scale web services. In serverless computing, programmers write what are called serverless functions, which are programs that respond to external events. When demand for the…
Ioana Baldini, Paul Melo e Castro, Kerry Shih-Ping Chang, Perry Cheng + 7 more
'Perry Cheng' 'Stephen J. Fink' 'Vatche Ishakian' 'Nick Mitchell' 'Vinod Muthusamy' 'Rodric Rabbah' 'Aleksander Slominski' 'Philippe Suter'] Abstract Serverless computing has emerged as a new compelling paradigm for the deployment of applications and services. It represents an evolution of cloud programming models…
Paul Castro, Vatche Ishakian, Vinod Muthusamy, Aleksander Slominski
Serverless computing -- an emerging cloud-native paradigm for the deployment of applications and services -- represents an evolution in cloud application development, programming models, abstractions, and platforms. It promises a real pay-as-you-go billing (with millisecond granularity) with no waste of resources, and…
David Pacios, José Luis Vázquez-Poletti, Dattaraj B. Dhuri, Dimitra Atri + 6 more
'Dimitra Atri' 'Rafael Moreno-Vozmediano' 'Robert J. Lillis' 'Nikolaos Schetakis' 'Jorge Gómez-Sanz' 'Alessio Di Iorio' 'Luis Vázquez'] Remote sensing technologies are experiencing a surge in adoption for monitoring Earth’s environment, demanding more efficient and scalable methods for image analysis. This paper…
Fatima Samea, Farooque Azam, Muhammad Rashid, Muhammad Waseem Anwar + 3 more
'Wasi Haider Butt' 'Abdul Wahab Muzaffar' 'Haoran Xie'] In a serverless cloud computing environment, the cloud provider dynamically manages the allocation of resources whereas the developers purely focus on their applications. The data-driven applications in serverless cloud computing mainly address the web as well as…
Aji John, Kathleen Muenzen, Kristiina Ausmees, Jacopo Soldani
Advances in whole-genome sequencing have greatly reduced the cost and time of obtaining raw genetic information, but the computational requirements of analysis remain a challenge. Serverless computing has emerged as an alternative to using dedicated compute resources, but its utility has not been widely evaluated for…
Lin, Changyuan, Ma, Yuanzhi + 2 more
Public cloud serverless platforms have attracted a large user base due to their high scalability, plug-and-play deployment model, and pay-per-use billing. However, compared to virtual machines and container hosting services, modern serverless offerings typically impose higher per-unit time and resource charges.…
Seungjun Lee, Daegun Yoon, Sangho Yeo, Sangyoon Oh + 4 more
As Artificial Intelligence (AI) is becoming ubiquitous in many applications, serverless computing is also emerging as a building block for developing cloud-based AI services. Serverless computing has received much interest because of its simplicity, scalability, and resource efficiency. However, due to the trade-off…
Priscilla Benedetti, Mauro Femminella, Gianluca Reali, Kris Steenhaut + 1 more
'Kris Steenhaut' 'Rongxing Lu'] Serverless computing, especially implemented through Function-as-a-Service (FaaS) platforms, has recently been gaining popularity as an application deployment model in which functions are automatically instantiated when called and scaled when needed. When a warm start deployment mode is…
Jacob Bradford, Divya Joy, Mattias Winsen, Nicholas Meurant + 5 more
Organisations are challenged when meeting the computational requirements of large-scale bioinformatics analyses using their own resources. Cloud computing has democratised large-scale resources, and to reduce the barriers of working with large-scale compute, leading cloud vendors offer serverless computing, a…
Ming Li, Jianshan Zhang, Jingfeng Lin, Zheyi Chen + 5 more
'Stefan Nastic' 'Patrizio Dazzi' 'Konstantinos Tserpes' 'Sashko Ristov'] The emerging serverless computing has become a captivating paradigm for deploying cloud applications, alleviating developers’ concerns about infrastructure resource management by configuring necessary parameters such as latency and memory…
Ling-Hong Hung, Niharika Nasam, Chris Biju, Wes Lloyd + 1 more
Singe cell RNA sequencing (scRNA-seq) has become a routine method for measuring cell activities. Processing large scRNA-seq datasets requires high-performance computing resources. The emergence of cloud computing allows us to leverage its on-demand capabilities without major investment in infrastructure. Serverless…
Ling-Hong Hung, Niharika Nasam, Wes Lloyd, Ka Yee Yeung
Singe cell RNA sequencing (scRNA-seq) has become a routine method for measuring cell activities. Processing large scRNA-seq datasets requires high-performance computing resources. The emergence of cloud computing allows us to leverage its on-demand capabilities without major investment in infrastructure. Serverless…
Ling-Hong Hung, Dimitar Kumanov, Xingzhi Niu, Wes Lloyd + 1 more
We have used serverless AWS Lambda functions to align 640 million reads in less than 3 minutes, a speed-up of 500x over the single-threaded implementation. Using a hybrid cloud architecture and software modified to optimize disk transfers, an entire RNA sequencing workflow transforming multiplexed reads to transcript…
Kamal Choudhary
SLMat is a serverless, browser-based toolkit that revolutionizes computational materials science by offering a scalable and efficient alternative to traditional server-based platforms like Google Colab. By eliminating the need for server management and providing persistent setups, SLMat enhances productivity and…
Jody Clements, Cristian Goina, Philip M. Hubbard, Takashi Kawase + 4 more
Neuroscience research in Drosophila is benefiting from large-scale connectomics efforts using electron microscopy (EM) to reveal all the neurons in a brain and their connections. In order to exploit this knowledge base, researchers target individual neurons and study their function. Therefore, vast libraries of fly…
Chih Chuan Shih, Jieqi Chen, Ai Shan Lee, Nicolas Bertin + 34 more
Genomic researchers are increasingly utilizing commercial cloud platforms (CCPs) to manage their data and analytics needs. Commercial clouds allow researchers to grow their storage and analytics capacity on demand, keeping pace with expanding project data footprints and enabling researchers to avoid large capital…
Authors not listed
Machine learning models are transforming data-driven research across scientific disciplines, yet their deployment as accessible and reliable web services remains a significant challenge. We introduce the NERDD framework, a scalable, maintainable, and secure microservices platform designed to support the sustainable…