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Virtualization technology has enabled applications to be decoupled from the underlying hardware providing the benefits of portability, better control over execution environment and isolation. It has been widely adopted in scientific grids…

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

Scientific workflow management systems support large-scale data analysis on cluster infrastructures. For this, they interact with resource managers which schedule workflow tasks onto cluster nodes. In addition to workflow task descriptions,…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-30 Jonathan Bader , Kathleen West , Soeren Becker , Svetlana Kulagina , Fabian Lehmann , Lauritz Thamsen , Henning Meyerhenke , Odej Kao

Deep learning based recommendation systems form the backbone of most personalized cloud services. Though the computer architecture community has recently started to take notice of deep recommendation inference, the resulting solutions have…

Hardware Architecture · Computer Science 2020-10-13 Samuel Hsia , Udit Gupta , Mark Wilkening , Carole-Jean Wu , Gu-Yeon Wei , David Brooks

A non-invasive, cloud-agnostic approach is demonstrated for extending existing cloud platforms to include checkpoint-restart capability. Most cloud platforms currently rely on each application to provide its own fault tolerance. A uniform…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-24 Jiajun Cao , Matthieu Simonin , Gene Cooperman , Christine Morin

Cloud computing datacenters provide millions of virtual machines in actual cloud markets. In this context, Virtual Machine Placement (VMP) is one of the most challenging problems in cloud infrastructure management, considering the large…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-01-11 Jammily Ortigoza , Fabio Lopez-Pires , Benjamın Baran

Cloud computing is penetrating into various domains and environments, from theoretical computer science to economy, from marketing hype to educational curriculum and from R&D lab to enterprise IT infrastructure. Yet, the currently…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-10-26 Mikael Fernandus Simalango , Mun-Young Kang , Sangyoon Oh

Serverless computing along with Function-as-a-Service (FaaS) is forming a new computing paradigm that is anticipated to found the next generation of cloud systems. The popularity of this paradigm is due to offering a highly transparent…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-27 Chavit Denninnart , Thanawat Chanikaphon , Mohsen Amini Salehi

This paper examines the workload distribution challenges in centralized cloud systems and demonstrates how Hybrid Edge Cloud (HEC) [1] mitigates these inefficiencies. Workloads in cloud environments often follow a Pareto distribution, where…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-01-30 Siavash Alamouti

As the popularity of quantum computing continues to grow, quantum machine access over the cloud is critical to both academic and industry researchers across the globe. And as cloud quantum computing demands increase exponentially, the…

Quantum Physics · Physics 2022-03-25 Gokul Subramanian Ravi , Kaitlin N. Smith , Pranav Gokhale , Frederic T. Chong

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

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 platforms are increasingly being used to run HPC workloads. Major cloud providers offer a wide variety of virtual machine (VM) types, enabling users to find the optimal balance between performance and cost. However, this extensive…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-11-26 Marco A. S. Netto

Interactive urgent computing is a small but growing user of supercomputing resources. However there are numerous technical challenges that must be overcome to make supercomputers fully suited to the wide range of urgent workloads which…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-29 Nick Brown , Rupert Nash , Gordon Gibb , Evgenij Belikov , Artur Podobas , Wei Der Chien , Stefano Markidis , Markus Flatken , Andreas Gerndt

Cloud providers offer a variety of execution platforms in form of bare-metal, VM, and containers. However, due to the pros and cons of each execution platform, choosing the appropriate platform for a specific cloud-based application has…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-04 Davood Ghatreh Samani , Chavit Denninnart , Josef Bacik , Mohsen Amini Salehi

Cloud computing has grown rapidly in recent years, mainly due to the sharp increase in data transferred over the internet. This growth makes load balancing a key part of cloud systems, as it helps distribute user requests across servers to…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-11 Shadman Sakib , Ajay Katangur , Rahul Dubey

The core of the computer business now offers subscription-based on-demand services with the help of cloud computing. We may now share resources among multiple users by using virtualization, which creates a virtual instance of a computer…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-13 Sakshi Chhabra , Ashutosh Kumar Singh

Computing and intelligence are substantial requirements for the accurate performance of autonomous ground vehicles (AGVs). In this context, the use of cloud services in addition to onboard computers enhances computing and intelligence…

Computers and Society · Computer Science 2020-08-12 Praveen Damacharla , Dhwani Mehta , Ahmad Y Javaid , Vijay K. Devabhaktuni

This paper is about the possible negative impact of excessive collaboration on the performance of top employees. With the rise of participatory culture and developments in communications technology, management practices require greater…

Applications · Statistics 2020-04-29 Anna Velyka , Marco Guerzoni

Cloud data analytics has become an integral part of enterprise business operations for data-driven insight discovery. Performance modeling of cloud data analytics is crucial for performance tuning and other critical operations in the cloud.…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-21 Khaled Zaouk , Fei Song , Chenghao Lyu , Yanlei Diao

The pay-as-you-go model supported by existing cloud infrastructure providers is appealing to most application service providers to deliver their applications in the cloud. Within this context, elasticity of applications has become one of…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-11-17 Rui Han