Results 81 to 90 of about 969,545 (337)
Interplay of Virtual Machine Selection and Virtual Machine Placement
, 2016 Previous work on optimizing resource provisioning in virtualized environments focused either on mapping virtual machines to physical machines (i.e., virtual machine placement) or mapping computational tasks to virtual machines (i.e., virtual machine selection). In this paper, we investigate how these two optimization problems influence each other.
openaire +4 more sources
Journal of Applied Clinical Medical Physics, EarlyView.Abstract The establishment of guidelines and curriculum standards for medical physics residency training is a critical component of setting expectations and competencies for the profession. Since the last publication of these standards, residency training has become integrated into the eligibility criteria for most medical physics certification bodies.
Jonathon A. Nye +16 more
wiley +1 more source
Cloud Process Execution Engine - Evaluation of the Core Concepts [PDF]
, 2010 In this technical report we describe describe the Domain Specific Language (DSL) of the Workflow Execution Execution (WEE). Instead of interpreting an XML based workflow description language like BPEL, the WEE uses a minimized but expressive set of ...
Mangler, Juergen +2 more
core
DiVM: Model Checking with LLVM and Graph Memory
, 2017 In this paper, we introduce the concept of a virtual machine with graph-organised memory as a versatile backend for both explicit-state and abstraction-driven verification of software. Our virtual machine uses the LLVM IR as its instruction set, enriched
Barnat, Jiří +3 more
core +1 more source
Exploiting Interfaces of Secure Encrypted Virtual Machines [PDF]
arXiv, 2020 Cloud computing is a convenient model for processing data remotely. However, users must trust their cloud provider with the confidentiality and integrity of the stored and processed data. To increase the protection of virtual machines, AMD introduced SEV, a hardware feature which aims to protect code and data in a virtual machine.
arxiv
Disentangling virtual machine architecture
IET Software, 2009 Virtual machine (VM) implementations are made of intricately intertwined subsystems, interacting largely through implicit dependencies. As the degree of crosscutting present in VMs is very high, VM implementations exhibit significant internal complexity.
Haupt, Michael (Dr.) +5 more
openaire +4 more sources
A Novel Digitalization Approach for Smart Materials – Ontology‐Based Access to Data and Models
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.In order to access heterogeneous material data and model‐based knowledge, the established ontology‐based data access (OBDA) is extended to include material models. This novel ontology‐based data and model access (OBDMA) enables the computation of new responses beyond stored data.
Jürgen Maas +15 more
wiley +1 more source
Motion and Virtual Cutting Simulation System for a Five-Axis Virtual Machine Tool
International Journal of Automation and Smart Technology, 2011 Since five-axis machine tools are very costly and their use requires a high level of knowledge and expertise, a virtual machine tool must be used to simulate five-axis machine tool operation. Configuration code or a mechanism topology matrix must be used
Rong-Shean Lee, Ko-Jen Mei
doaj +1 more source
A Performance Survey on Stack-based and Register-based Virtual Machines [PDF]
arXiv, 2016 Virtual machines have been widely adapted for high-level programming language implementations and for providing a degree of platform neutrality. As the overall use and adaptation of virtual machines grow, the overall performance of virtual machines has become a widely-discussed topic. In this paper, we present a survey on the performance differences of
arxiv
Kernel learning for ligand-based virtual screening: discovery of a new PPARgamma agonist [PDF]
, 2010 Poster presentation at 5th German Conference on Cheminformatics: 23. CIC-Workshop Goslar, Germany. 8-10 November 2009 We demonstrate the theoretical and practical application of modern kernel-based machine learning methods to ligand-based virtual ...
Hansen, Katja +9 more
core