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We propose a novel job scheduling approach for homogeneous cluster computing platforms. Its key feature is the use of virtual machine technology to share fractional node resources in a precise and controlled manner. Other VM-based…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-06-27 Henri Casanova , Mark Stillwell , Frédéric Vivien

Cloud computing is a new archetype that provides dynamic computing services to cloud users through the support of datacenters that employs the services of datacenter brokers which discover resources and assign them Virtually. The focus of…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-29 J. Kok Konjaang , J. Y. Maipan-uku , Kumangkem Kennedy Kubuga

Multi-cloud computing has become increasingly popular with enterprises looking to avoid vendor lock-in. While most cloud providers offer similar functionality, they may differ significantly in terms of performance and/or cost. A customer…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-04-21 Małgorzata Łazuka , Thomas Parnell , Andreea Anghel , Haralampos Pozidis

Finding the best configuration of algorithms' hyperparameters for a given optimization problem is an important task in evolutionary computation. We compare in this work the results of four different hyperparameter tuning approaches for a…

Neural and Evolutionary Computing · Computer Science 2022-03-18 Furong Ye , Carola Doerr , Hao Wang , Thomas Bäck

In software engineering, the meticulous configuration of software tools is crucial in ensuring optimal performance within intricate systems. However, the complexity inherent in selecting optimal configurations is exacerbated by the…

Software Engineering · Computer Science 2023-12-12 Jai Kannan

Cloud computing allow the users to efficiently and dynamically provision computing resource to meet their IT needs. Cloud Provider offers two subscription plan to the customer namely reservation and on-demand. The reservation plan is…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-02-12 M. Uthaya Banu , K. Saravanan

Online learning is the cornerstone of applications like recommendation and advertising systems, where models continuously adapt to shifting data distributions. Model training for such systems is remarkably expensive, a cost that multiplies…

Machine Learning · Computer Science 2025-12-02 Berivan Isik , Matthew Fahrbach , Dima Kuzmin , Nicolas Mayoraz , Emil Praun , Steffen Rendle , Raghavendra Vasudeva

Edge computing has become a very popular service that enables mobile devices to run complex tasks with the help of network-based computing resources. However, edge clouds are often resource-constrained, which makes resource allocation a…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-02 Caroline Rublein , Fidan Mehmeti , Mark Mahon , Thomas F. La Porta

Optimizing resource utilization in high-performance computing (HPC) clusters is essential for maximizing both system efficiency and user satisfaction. However, traditional rigid job scheduling often results in underutilized resources and…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-20 Patrick Zojer , Jonas Posner , Taylan Özden

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

Distributed data storage services tailored to specific applications have grown popular in the high-performance computing (HPC) community as a way to address I/O and storage challenges. These services offer a variety of specific interfaces,…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-10-04 Matthieu Dorier , Romain Egele , Prasanna Balaprakash , Jaehoon Koo , Sandeep Madireddy , Srinivasan Ramesh , Allen D. Malony , Rob Ross

While the pay-as-you-go nature of cloud virtual machines (VMs) makes it easy to spin-up large clusters for training ML models, it can also lead to ballooning costs. The 100s of virtual machine sizes provided by cloud platforms also makes it…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-12-06 Sahil Tyagi , Prateek Sharma

Aiming at analyzing performance in cloud computing, some unpredictable perturbations which may lead to performance downgrade are essential factors that should not be neglected. To avoid performance downgrade in cloud computing system, it is…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-30 Jiaxin Zhou , Siyi Chen , Haiyang Kuang

Optimising the execution of Bag-of-Tasks (BoT) applications on the cloud is a hard problem due to the trade- offs between performance and monetary cost. The problem can be further complicated when multiple BoT applications need to be…

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

Cloud platforms offer the same VMs under many purchasing options that specify different costs and time commitments, such as on-demand, reserved, sustained-use, scheduled reserve, transient, and spot block. In general, the stronger the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-04-10 Pradeep Ambati , Noman Bashir , David Irwin , Mohammad Hajiesmaili , Prashant Shenoy

The performance of modern machine learning methods highly depends on their hyperparameter configurations. One simple way of selecting a configuration is to use default settings, often proposed along with the publication and implementation…

Machine Learning · Statistics 2021-05-03 Florian Pfisterer , Jan N. van Rijn , Philipp Probst , Andreas Müller , Bernd Bischl

Many academic disciplines - including information systems, computer science, and operations management - face scheduling problems as important decision making tasks. Since many scheduling problems are NP-hard in the strong sense, there is a…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-05-26 Gerhard Rauchecker , Guido Schryen

Saving energy is an important issue for cloud providers to reduce energy cost in a data center. With the increasing popularity of cloud computing, it is time to examine various energy reduction methods for which energy consumption could be…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-21 Nasrin Akhter , Mohamed Othman , Ranesh Kumar Naha

Mobile micro-clouds are promising for enabling performance-critical cloud applications. However, one challenge therein is the dynamics at the network edge. In this paper, we study how to place service instances to cope with these dynamics,…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-09-19 Shiqiang Wang , Rahul Urgaonkar , Ting He , Kevin Chan , Murtaza Zafer , Kin K. Leung

The emergence of cloud computing based on virtualization technologies brings huge opportunities to host virtual resource at low cost without the need of owning any infrastructure. Virtualization technologies enable users to acquire,…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-03-08 Minxian Xu , Wenhong Tian , Rajkumar Buyya