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Cloud computing recently developed into a viable alternative to on-premises systems for executing high-performance computing (HPC) applications. With the emergence of new vendors and hardware options, there is now a growing need to…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-14 Mohammad Mohammadi , Timur Bazhirov

How can applications be deployed on the cloud to achieve maximum performance? This question has become significant and challenging with the availability of a wide variety of Virtual Machines (VMs) with different performance capabilities in…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 Blesson Varghese , Ozgur Akgun , Ian Miguel , Long Thai , Adam Barker

Performance benchmarking is a common practice in software engineering, particularly when building large-scale, distributed, and data-intensive systems. While cloud environments offer several advantages for running benchmarks, it is often…

Software Engineering · Computer Science 2025-04-17 Sören Henning , Adriano Vogel , Esteban Perez-Wohlfeil , Otmar Ertl , Rick Rabiser

Cloud computing focuses on delivery of reliable, secure, fault-tolerant, sustainable, and scalable infrastructures for hosting Internet-based application services. These applications have different composition, configuration, and deployment…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-03-17 Rodrigo N. Calheiros , Rajiv Ranjan , Cesar A. F. De Rose , Rajkumar Buyya

We present a comparative analysis of the maximum performance achieved by the Linpack benchmark on compute intensive hardware publicly available from multiple cloud providers. We study both performance within a single compute node, and…

Performance · Computer Science 2018-07-17 Mohammad Mohammadi , Timur Bazhirov

Developing data mining algorithms that are suitable for cloud computing platforms is currently an active area of research, as is developing cloud computing platforms appropriate for data mining. Currently, the most common benchmark for…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-07-09 Collin Bennett , Robert L. Grossman , David Locke , Jonathan Seidman , Steve Vejcik

How can applications be deployed on the cloud to achieve maximum performance? This question is challenging to address with the availability of a wide variety of cloud Virtual Machines (VMs) with different performance capabilities. The…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-15 Blesson Varghese , Ozgur Akgun , Ian Miguel , Long Thai , Adam Barker

Cloud computing provides on-demand access to affordable hardware (multi-core CPUs, GPUs, disks, and networking equipment) and software (databases, application servers and data processing frameworks) platforms with features such as…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 Khalid Alhamazani , Rajiv Ranjan , Prem Prakash Jayaraman , Karan Mitra , Chang Liu , Fethi Rabhi , Dimitrios Georgakopoulos , Lizhe Wang

Serverless computing is gaining traction as an attractive model for the deployment of a multitude of workloads in the cloud. Designing and building effective resource management solutions for any computing environment requires extensive…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-20 Anupama Mampage , Rajkumar Buyya

To optimally deploy their applications, users of Infrastructure-as-a-Service clouds are required to evaluate the costs and performance of different combinations of cloud configurations to find out which combination provides the best service…

Software Engineering · Computer Science 2014-08-21 Joel Scheuner , Philipp Leitner , Jurgen Cito , Harald Gall

In this paper, we draw the specifications of a novel benchmark for comparing parallel processing frameworks in the context of big data applications hosted in the cloud. We aim at filling several gaps in already existing cloud data…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-12-24 Jaume Ferrarons , Mulu Adhana , Carlos Colmenares , Sandra Pietrowska , Fadila Bentayeb , Jérôme Darmont

Serverless computing has emerged as a prominent paradigm, with a significant adoption rate among cloud customers. While this model offers advantages such as abstraction from the deployment and resource scheduling, it also poses limitations…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-26 Larissa Schmid , Marcin Copik , Alexandru Calotoiu , Laurin Brandner , Anne Koziolek , Torsten Hoefler

Cloud computing is an emerging platform of service computing designed for swift and dynamic delivery of assured computing resources. Cloud computing provide Service-Level Agreements (SLAs) for guaranteed uptime availability for enabling…

Software Engineering · Computer Science 2010-04-13 T. Vengattaraman , P. Dhavachelvan , R. Baskaran

Function-as-a-Service (FaaS) is one of the most promising directions for the future of cloud services, and serverless functions have immediately become a new middleware for building scalable and cost-efficient microservices and…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-05 Marcin Copik , Grzegorz Kwasniewski , Maciej Besta , Michal Podstawski , Torsten Hoefler

Cloud computing has become increasingly popular. Many options of cloud deployments are available. Testing cloud performance would enable us to choose a cloud deployment based on the requirements. In this paper, we present an innovative…

Performance · Computer Science 2015-09-03 Li Chen , Pooja Jain , Kingsum Chow , Emad Guirguis , Tony Wu

Recent advancements in data stream processing frameworks have improved real-time data handling, however, scalability remains a significant challenge affecting throughput and latency. While studies have explored this issue on local machines…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-04 Apurv Deepak Kulkarni , Siavash Ghiasvand

In the past decade, cloud computing has emerged from a pursuit for a service-driven information and communication technology (ICT), into a signifcant fraction of the ICT market. Responding to the growth of the market, many alternative cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-04-13 Nikolas Herbst , Rouven Krebs , Giorgos Oikonomou , George Kousiouris , Athanasia Evangelinou , Alexandru Iosup , Samuel Kounev

Can cloud computing infrastructures provide HPC-competitive performance for scientific applications broadly? Despite prolific related literature, this question remains open. Answers are crucial for designing future systems and democratizing…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-09 Giulia Guidi , Marquita Ellis , Aydin Buluc , Katherine Yelick , David Culler

Although Cloud computing emerged for business applications in industry, public Cloud services have been widely accepted and encouraged for scientific computing in academia. The recently available Google Compute Engine (GCE) is claimed to…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-12-25 Zheng Li , Liam O'Brien , Rajiv Ranjan , Miranda Zhang

In a world, where complexity increases on a daily basis the Function-as-a-Service (FaaS) cloud model seams to take countermeasures. In comparison to other cloud models, the fast evolving FaaS increasingly abstracts the underlying…

Software Engineering · Computer Science 2019-05-20 Roland Pellegrini , Igor Ivkic , Markus Tauber
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