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Proliferation of cloud computing has revolutionized hosting and delivery of Internet-based application services. However, with the constant launch of new cloud services and capabilities almost every month by both big (e.g., Amazon Web…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-04-09 Miranda Zhang , Rajiv Ranjan , Michael Menzel , Surya Nepal , Peter Strazdins , Lizhe Wang

With the advantages that cloud computing offers in terms of platform as a service, software as a service, and infrastructure as a service, data engineers and data scientists are able to leverage cloud computing for their ETL/ELT (extract,…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-09-01 Mohammad Rehman , Hairong Wang

Considering the market's competitiveness and the complexity of organizations and projects, analyzing data is crucial to decision support on software development and project management processes. These practices are essential to increase…

Information Retrieval · Computer Science 2022-11-28 Andre Nobre Barrocas , Alberto Rodrigues da Silva , Joao Paulo Saraiva

The microservice architectural style has gained much attention from both academia and industry recently as a novel way to design, develop, and deploy cloud-native applications. This concept encourages the decomposition of a monolith into…

Software Engineering · Computer Science 2022-03-15 Hai Dinh-Tuan , Maria Mora-Martinez , Felix Beierle , Sandro Rodriguez Garzon

Serverless computing is increasingly popular because of its lower cost and easier deployment. Several cloud service providers (CSPs) offer serverless computing on their public clouds, but it may bring the vendor lock-in risk. To avoid this…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-08 Junfeng Li , Sameer G. Kulkarni , K. K. Ramakrishnan , Dan Li

Applications that fuse machine learning and simulation can benefit from the use of multiple computing resources, with, for example, simulation codes running on highly parallel supercomputers and AI training and inference tasks on…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-12-04 Logan Ward , J. Gregory Pauloski , Valerie Hayot-Sasson , Ryan Chard , Yadu Babuji , Ganesh Sivaraman , Sutanay Choudhury , Kyle Chard , Rajeev Thakur , Ian Foster

Serverless computing is a widely adopted cloud execution model composed of Function-as-a-Service (FaaS) and Backend-as-a-Service (BaaS) offerings. The increased level of abstraction makes vendor lock-in inherent to serverless computing,…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-29 Haidong Zhao , Zakaria Benomar , Tobias Pfandzelter , Nikolaos Georgantas

Infrastructure as Code (IaC) has enabled cloud customers to have more agility in creating and modifying complex deployments of cloud-provisioned resources. By writing a configuration in IaC languages such as CloudFormation, users can…

Software Engineering · Computer Science 2024-02-27 Feitong Qiao , Aryana Mohammadi , Jürgen Cito , Mark Santolucito

Programmers often seek help from Q\&A websites to resolve issues they encounter during programming. Stack Overflow has been a widely used platform for this purpose for over a decade. Recently, revolutionary AI-powered platforms like ChatGPT…

Software Engineering · Computer Science 2023-08-29 Jinrun Liu , Xinyu Tang , Linlin Li , Panpan Chen , Yepang Liu

Big data dictate their requirements to the hardware and software. Simple migration to the cloud data processing, while solving the problem of increasing computational capabilities, however creates some issues: the need to ensure the safety,…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-07-03 E. Nikulchev , E. Pluzhnik , D. Biryukov , O. Lukyanchikov , S. Payain

Cloud computing has revolutionized the way organizations manage their IT infrastructure, but it has also introduced new challenges, such as managing cloud costs. The rapid adoption of artificial intelligence (AI) and machine learning (ML)…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-28 Saurabh Deochake

This paper addresses how the benefits of cloud-based infrastructure can be harnessed for analytical workloads. Often the software handling analytical workloads is not developed by a professional programmer, but on an ad hoc basis by…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-08-14 Ishan Patel , Andrew Rau-Chaplin , Blesson Varghese

Cloud services must typically be distributed across a large number of machines in order to make use of multiple compute and storage resources. This opens the programmer to several sources of complexity such as concurrency, order of message…

Programming Languages · Computer Science 2020-02-13 Pantazis Deligiannis , Narayanan Ganapathy , Akash Lal , Shaz Qadeer

The need for scalable and efficient stream analysis has led to the development of many open-source streaming data processing systems (SDPSs) with highly diverging capabilities and performance characteristics. While first initiatives try to…

Databases · Computer Science 2019-06-27 Jeyhun Karimov , Tilmann Rabl , Asterios Katsifodimos , Roman Samarev , Henri Heiskanen , Volker Markl

A pooled and shared on-demand Infrastructure as a Service (IaaS), based on the Openstack software suite, was rolled out on the Grenoble university campus in 2018 and updated in 2019.We present the methods used to deploy and manage the…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-10 Nicolas Gibelin , Rémi Cailletaud , Gabriel Moreau , Jean-François Scariot , Gabrielle Feltin , Anthony Defize

We present an Edge-as-a-Service (EaaS) platform for realising distributed cloud architectures and integrating the edge of the network in the computing ecosystem. The EaaS platform is underpinned by (i) a lightweight discovery protocol that…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-30 Blesson Varghese , Nan Wang , Jianyu Li , Dimitrios S. Nikolopoulos

While the requirements of enterprise and web applications have driven the development of Cloud computing, some of its key features, such as customized environments and rapid elasticity, could also benefit scientific applications. However,…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-06-23 Álvaro López García , Enol Fernández del Castillo

We consider robust resource allocation of services in Clouds. More specifically, we consider the case of a large public or private Cloud platform that runs a relatively small set of large and independent services. These services are…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-10-22 Olivier Beaumont , Lionel Eyraud-Dubois , Paul Renaud-Goud

Serverless computing, particularly Function-as-a-Service (FaaS), has revolutionized cloud computing by abstracting infrastructure management and enabling dynamic resource allocation. This paper examines the performance and compatibility of…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-23 Ehsan Ataie , Mohammadreza Pooshani , Hossein Aqasizade

The Operational Technology Platform as a Service (OTPaaS) initiative provides a structured framework for the efficient management and storage of data. It ensures excellent response times while improving security, reliability, data and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-27 Carlos J Barrios , Yves Denneulin