English
Related papers

Related papers: A Self-adaptive Auto-scaling Method for Scientific…

200 papers

Large batch jobs such as Deep Learning, HPC and Spark require far more computational resources and higher cost than conventional online service. Like the processing of other time series data, these jobs possess a variety of characteristics…

Machine Learning · Computer Science 2020-10-13 Peng Gao

Containers offer an array of advantages that benefit research reproducibility and portability across groups and systems. As container tools mature, container security improves, and High-performance computing (HPC) and cloud system tools…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-24 Tiziano Müller , Nina Mujkanovic , Juan J. Durillo , Nicolay Hammer

We propose a simple yet effective policy for the predictive auto-scaling of horizontally scalable applications running in cloud environments, where compute resources can only be added with a delay, and where the deployment throughput is…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-08-05 Valentin Flunkert , Quentin Rebjock , Joel Castellon , Laurent Callot , Tim Januschowski

Although High Performance Computing (HPC) users understand basic resource requirements such as the number of CPUs and memory limits, internal infrastructural utilization data is exclusively leveraged by cluster operators, who use it to…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-19 Abel Souza , Kristiaan Pelckmans , Johan Tordsson

The primary motivation for uptake of virtualization has been resource isolation, capacity management and resource customization allowing resource providers to consolidate their resources in virtual machines. Various approaches have been…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-09-27 Omer Khalid , Ivo Maljevic , Richard Anthony , Miltos Petridis , Kevin Parrot , Markus Schulz

High Speed computing meets ever increasing real-time computational demands through the leveraging of flexibility and parallelism. The flexibility is achieved when computing platform designed with heterogeneous resources to support…

Operating Systems · Computer Science 2015-01-08 Mahendra Vucha , Arvind Rajawat

The rapid development of cloud-native architecture has promoted the widespread application of container technology, but the optimization problems in container scheduling and resource management still face many challenges. This paper…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-12-24 Xiaoye Wang

Methods developed at the Texas Advanced Computing Center (TACC) are described and demonstrated for automating the construction of an elastic, virtual cluster emulating the Stampede2 high performance computing (HPC) system. The cluster can…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-07-13 W. Cyrus Proctor , Mike Packard , Anagha Jamthe , Richard Cardone , Joseph Stubbs

Cloud Computing is a paradigm of both parallel processing and distributed computing. It offers computing facilities as a utility service in pay as par use manner. Virtualization, self service provisioning, elasticity and pay per use are the…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-12-20 Syed Arshad Ali , Mansaf Alam

Cloud computing is an established technology allowing users to share resources on a large scale, never before seen in IT history. A cloud system connects multiple individual servers in order to process related tasks in several environments…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-30 Leszek Sliwko

The convergence of IoT, Edge, Cloud, and HPC technologies creates a compute continuum that merges cloud scalability and flexibility with HPC's computational power and specialized optimizations. However, integrating cloud and HPC resources…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-20 Aasish Kumar Sharma , Christian Boehme , Patrick Gelß , Ramin Yahyapour , Julian Kunkel

The use of High Performance Computing (HPC) in commercial and consumer IT applications is becoming popular. They need the ability to gain rapid and scalable access to high-end computing capabilities. Cloud computing promises to deliver such…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-09-08 Saurabh Kumar Garg , Chee Shin Yeo , Arun Anandasivam , Rajkumar Buyya

Autoscaling is a technology that automatically scales resources for applications without human intervention to ensure runtime Quality of Service (QoS) while reducing costs. However, user-facing cloud applications serve dynamic workloads…

Software Engineering · Computer Science 2026-03-03 Chunyang Meng , Haogang Tong , Tianyang Wu , Maolin Pan , Yang Yu , Yi Jiang

High Performance Computing (HPC) clouds are becoming an alternative to on-premise clusters for executing scientific applications and business analytics services. Most research efforts in HPC cloud aim to understand the cost-benefit of…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-02-05 Marco A. S. Netto , Rodrigo N. Calheiros , Eduardo R. Rodrigues , Renato L. F. Cunha , Rajkumar Buyya

Cloud Computing is the latest blooming technology in the era of Computer Science and Information Technology domain. There is an enormous pool of data centres, which are termed as Clouds where the services and associated data are being…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-09-30 Nallakumar R. , Sruthi Priya K. S

Cloud-based computing infrastructure provides an efficient means to support real-time processing workloads, e.g., virtualized base station processing, and collaborative video conferencing. This paper addresses resource allocation for a…

Networking and Internet Architecture · Computer Science 2016-03-08 Yuhuan Du , Gustavo de Veciana

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

Burst-Buffering is a promising storage solution that introduces an intermediate highthroughput storage buffer layer to mitigate the I/O bottleneck problem that the current High-Performance Computing (HPC) platforms suffer. The existing…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-10-17 Benbo Zha , Hong Shen

The dynamic provisioning of virtualized resources offered by cloud computing infrastructures allows applications deployed in a cloud environment to automatically increase and decrease the amount of used resources. This capability is called…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-02-14 Nicolo M. Calcavecchia , Bogdan Alexandru Caprarescu , Elisabetta Di Nitto , Daniel J. Dubois , Dana Petcu

With the ever-growing need of data in HPC applications, the congestion at the I/O level becomes critical in super-computers. Architectural enhancement such as burst-buffers and pre-fetching are added to machines, but are not sufficient to…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-02-23 Guillaume Aupy , Ana Gainaru , Valentin Le Fèvre
‹ Prev 1 2 3 10 Next ›