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Related papers: Performance Exploration of Virtualization Systems

200 papers

Virtual machine (VM) placement is very important for cloud platforms. While techniques, such as live virtual machine migration, are very useful to balance the load in the data centers, they are expensive operations. In this position paper,…

Networking and Internet Architecture · Computer Science 2013-07-26 Xia Liu , Li Fan

The utilization of paging for virtual machine (VM) memory management is the root cause of memory virtualization overhead. This paper shows that paging is not necessary in the hypervisor. In fact, memory fragmentation, which explains paging…

Operating Systems · Computer Science 2020-06-02 Boris Teabe , Peterson Yuhala , Alain Tchana , Fabien Hermenier , Daniel Hagimont , Gilles Muller

Benchmarking in cloud environments suffers from performance variability from multi-tenant resource contention. Duet benchmarking mitigates this by running two workload versions concurrently on the same VM, exposing them to identical…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-06 Nils Japke , Furat Hamdan , Diana Baumann , David Bermbach

Cloud computing is widely adopted by corporate as well as retail customers to reduce the upfront cost of establishing computing infrastructure. However, switching to the cloud based services poses a multitude of questions, both for…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-22 M P Gilesh

The increasing complexity of hardware and software requires advanced development and test methodologies for modern systems on chips. This paper presents a novel approach to ARM-on-ARM virtualization within SystemC-based simulators using…

Software Engineering · Computer Science 2025-06-25 Nils Bosbach , Rebecca Pelke , Niko Zurstraßen , Jan Henrik Weinstock , Lukas Jünger , Rainer Leupers

Last several years, GPUs are used to accelerate computations in many computer science domains. We focused on GPU accelerated Support Vector Machines (SVM) training with non-linear kernel functions. We had searched for all available GPU…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-07-21 Jan Vanek , Josef Michalek , Josef Psutka

This paper studies parallelization schemes for stochastic Vector Quantization algorithms in order to obtain time speed-ups using distributed resources. We show that the most intuitive parallelization scheme does not lead to better…

Machine Learning · Statistics 2012-05-14 Matthieu Durut , Benoît Patra , Fabrice Rossi

Virtualization is generally adopted in server and desktop environments to provide for fault tolerance, resource management, and energy efficiency. Virtualization enables parallel execution of multiple operating systems (OSs) while sharing…

Operating Systems · Computer Science 2016-05-05 Junaid Shuja , Abdullah Gani , Sajjad A. Madani

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

The ever-increasing complexity of HW/SW systems presents a persistent challenge, particularly in safety-critical domains like automotive, where extensive testing is imperative. However, the availability of hardware often lags behind,…

Software Engineering · Computer Science 2025-06-13 Lukas Jünger , Jan Henrik Weinstock , Tim Kraus

We present preliminary results of an investigation into the suitability of virtualised hardware -- in particular clouds -- for running computational experiments. Our main concern was that the reported CPU time would not be reliable and…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-10-31 Ian P. Gent , Lars Kotthoff

The choice between containers and unikernels is a critical trade-off for edge applications, balancing the container's ecosystem maturity against unikernel's specialized efficiency. However, until now, how this trade-off behaves under the…

Performance · Computer Science 2025-09-10 Hai Dinh-Tuan

The rate of change in business and government is accelerating. A number of techniques for addressing that change have emerged independently to provide for automated solutions in this environment. This paper will examine three of the most…

Software Engineering · Computer Science 2012-08-21 Steve Kruba , Steven Baynes , Robert Hyer

Microservices architecture has started a new trend for application development for a number of reasons: (1) to reduce complexity by using tiny services; (2) to scale, remove and deploy parts of the system easily; (3) to improve flexibility…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-15 Marcelo Amaral , Jordà Polo , David Carrera , Iqbal Mohomed , Merve Unuvar , Malgorzata Steinder

AI applications pose increasing demands on performance, so it is not surprising that the era of client-side distributed software is becoming important. On top of many AI applications already using mobile hardware, and even browsers for…

Artificial Intelligence · Computer Science 2018-02-13 Bernd Malle , Nicola Giuliani , Peter Kieseberg , Andreas Holzinger

Traditional memory management suffers from metadata overhead, architectural complexity, and stability degradation, problems intensified in cloud environments. Existing software/hardware optimizations are insufficient for cloud computing's…

Containers improve the efficiency in application deployment and thus have been widely utilised on Cloud and lately in High Performance Computing (HPC) environments. Containers encapsulate complex programs with their dependencies in isolated…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-20 Naweiluo Zhou , Huan Zhou , Dennis Hoppe

Virtualization has become widespread across all computing environments, from edge devices to cloud systems. Its main advantages are resource management through abstraction and improved isolation of platform resources and processes. However,…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-25 Francesco Ciraolo , Mattia Nicolella , Denis Hoornaert , Marco Caccamo , Renato Mancuso

The unprecedented growth in data demand from emerging applications has turned virtual memory (VM) into a major performance bottleneck. Researchers explore new hardware/OS co-designs to optimize VM across diverse applications and systems. To…

The upcoming many-core architectures require software developers to exploit concurrency to utilize available computational power. Today's high-level language virtual machines (VMs), which are a cornerstone of software development, do not…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-02-05 Stefan Marr , Michael Haupt , Stijn Timbermont , Bram Adams , Theo D'Hondt , Pascal Costanza , Wolfgang De Meuter
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