Relevant bibliographies by topics / Hypervizor hypervisor

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Hypervizor hypervisor'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Hypervizor hypervisor"

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Shetty, Jyoti, Sahana Upadhaya, Rajarajeshwari H S, Shobha G, and Jayant Chandra. "An Empirical Performance Evaluation of Docker Container, Openstack Virtual Machine and Bare Metal Server." Indonesian Journal of Electrical Engineering and Computer Science 7, no. 1 (July 1, 2017): 205. http://dx.doi.org/10.11591/ijeecs.v7.i1.pp205-213.

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<p>Server virtualization is a fundamental technological innovation that is used extensively in IT enterprises. Server virtualization enables creation of multiple virtual machines on single underlying physical machine. It is realized either in form of hypervisors or containers. Hypervisor is an extra layer of abstraction between the hardware and virtual machines that emulates underlying hardware. In contrast, the more recent container-based virtualization technology runs on host kernel without additional layer of abstraction.Thus container technology is expected to provide near native performance compared to hypervisor based technology. We have conducted a series of experiments to measure and compare the performance of workloads over hypervisor based virtual machines, Docker containers and native bare metal machine. We use a standard benchmark workload suite that stress CPU, memory, disk IO and system. The results obtained show that Docker containers provide better or similar performance compared to traditional hypervisor based virtual machines in almost all the tests. However as expected the native system still provides the best performance as compared to either containers or hypervisors.</p>
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Boberić, Milan. "JEDNO OD REŠENJA ZA PARTICIONISANJE CENTRALNE PROCESORSKE JEDINICE SA VIŠE JEZGARA." Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 34, no. 04 (March 22, 2019): 781–84. http://dx.doi.org/10.24867/02ih07boberic.

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U ovom radu predstavljena je imple­mentacija i optimizacija sistema za particionisanje centralne procesorske jedinice sa više jezgara. Sistem se sastoji iz UltraZed-EG ploče na kojoj je implementiran Xen Hypervisor kao sistem za particionisanje. Xen Hypervisor je virtuelni sloj koji koristi postojeći operativni sistem (host) koji mu omogućava pristup memoriji, prekidima i drugim resursima i omogućava kreiranje virtuelnih jezgara koja se po instrukcijama korisnika mogu raspoređivati na fizička jezgra. Dat je akcenat na real-time particionisanje i optimizaciju Xen Hypervisora u cilju poboljšanja performansi.
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Barrowclough, John Patrick, and Rameez Asif. "Securing Cloud Hypervisors: A Survey of the Threats, Vulnerabilities, and Countermeasures." Security and Communication Networks 2018 (June 11, 2018): 1–20. http://dx.doi.org/10.1155/2018/1681908.

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The exponential rise of the cloud computing paradigm has led to the cybersecurity concerns, taking into account the fact that the resources are shared and mediated by a ‘hypervisor’ that may be attacked and user data can be compromised or hacked. In order to better define these threats to which a cloud hypervisor is exposed, we conducted an in-depth analysis and highlighted the security concerns of the cloud. We basically focused on the two particular issues, i.e., (a) data breaches and (b) weak authentication. For in-depth analysis, we have successfully demonstrated a fully functional private cloud infrastructure running on CloudStack for the software management and orchestrated a valid hack. We analyzed the popular open-source hypervisors, followed by an extensive study of the vulnerability reports associated with them. Based on our findings, we propose the characterization and countermeasures of hypervisor’s vulnerabilities. These investigations can be used to understand the potential attack paths on cloud computing and Cloud-of-Things (CoT) applications and identify the vulnerabilities that enabled them.
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Kashyap, Rekha, and Deo Prakash Vidyarthi. "A Secured Real Time Scheduling Model for Cloud Hypervisor." International Journal of Cloud Applications and Computing 6, no. 4 (October 2016): 97–110. http://dx.doi.org/10.4018/ijcac.2016100106.

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Virtualization is critical to cloud computing and is possible through hypervisors, which maps the Virtual machines((VMs) to physical resources but poses security concerns as users relinquish physical possession of their computation and data. Good amount of research is initiated for resource provisioning on hypervisors, still many issues need to be addressed for security demanding and real time VMs. First work SRT-CreditScheduler (Secured and Real-time), maximizes the success rate by dynamically prioritizing the urgency and the workload of VMs but ensures highest security for all. Another work, SA-RT-CreditScheduler (Security-aware and Real-time) is a dual objective scheduler, which maximizes the success rate of VMs in best possible security range as specified by the VM owner. Though the algorithms can be used by any hypervisor, for the current work they have been implemented on Xen hypervisor. Their effectiveness is validated by comparing it with Xen's, Credit and SEDF scheduler, for security demanding tasks with stringent deadline constraints.
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Perneel, L., H. Fayyad-Kazan, L. Peng, F. Guan, and M. Timmerman. "Business Hypervisors for Real-time Applications." Engineering, Technology & Applied Science Research 5, no. 4 (August 17, 2015): 832–40. http://dx.doi.org/10.48084/etasr.568.

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System virtualization is one of the hottest trends in information technology today. It is not just another nice to use technology but has become fundamental across the business world. It is successfully used with many business application classes where cloud computing is the most visual one. Recently, it started to be used for soft Real-Time (RT) applications such as IP telephony, media servers, audio and video streaming servers, automotive and communication systems in general. Running these applications on a traditional system (Hardware + Operating System) guarantee their Quality of Service (QoS); virtualizing them means inserting a new layer between the hardware and the (virtual) Operating System (OS), and thus adding extra overhead. Although these applications’ areas do not always demand hard time guarantees, they require the underlying virtualization layer supports low latency and provide adequate computational resources for completion within a reasonable or predictable timeframe. These aspects are intimately intertwined with the logic of the hypervisor scheduler. In this paper, a series of tests are conducted on three hypervisors (VMware ESXi, Hyper-V server and Xen) to provide a benchmark of the latencies added to the applications running on top of them. These tests are conducted for different scenarios (use cases) to take into consideration all the parameters and configurations of the hypervisors’ schedulers. Finally, this benchmark can be used as a reference for choosing the best hypervisor-application combination.
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Zoughbi, Dina Mohsen, and Nitul Dutta. "Hypervisor Vulnerabilities and Some Defense Mechanisms, in Cloud Computing Environment." International Journal of Innovative Technology and Exploring Engineering 10, no. 2 (December 10, 2020): 42–48. http://dx.doi.org/10.35940/ijitee.b8262.1210220.

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Cloud computing is the most important technology at the present time, in terms of reducing applications costs and makes them more scalable and flexible. As the cloud currency is based on building virtualization technology, so it can secure a large-scale environment with limited security capacity such as the cloud. Where, Malicious activities lead the attackers to penetrate virtualization technologies that endanger the infrastructure, and then enabling attacker access to other virtual machines which running on the same vulnerable device. The proposed work in this paper is to review and discuss the attacks and intrusions that allow a malicious virtual machine (VM) to penetrate hypervisor, especially the technologies that malicious virtual machines work on, to steal more than their allocated quota from material resources, and the use of side channels to steal data and Passing buffer barriers between virtual machines. This paper is based on the Security Study of Cloud Hypervisors and classification of vulnerabilities, security issues, and possible solutions that virtual machines are exposed to. Therefore, we aim to provide researchers, academics, and industry with a better understanding of all attacks and defense mechanisms to protect cloud security. and work on building a new security architecture in a virtual technology based on hypervisor to protect and ensure the security of the cloud.
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Rong Chang, Bao, Hsiu-Fen Tsai, Chi-Ming Chen, and Chien-Feng Huang. "Analysis of virtualized cloud server together with shared storage and estimation of consolidation ratio and TCO/ROI." Engineering Computations 31, no. 8 (October 28, 2014): 1746–60. http://dx.doi.org/10.1108/ec-11-2012-0295.

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Purpose – The physical server transition to virtualized infrastructure server have encountered crucial problems such as server consolidation, virtual machine (VM) performance, workload density, total cost of ownership (TCO), and return on investments (ROIs). In order to solve the problems mentioned above, the purpose of this paper is to perform the analysis of virtualized cloud server together with shared storage as well as the estimation of consolidation ratio and TCO/ROI in server virtualization. Design/methodology/approach – This paper introduces five distinct virtualized cloud computing servers (VCCSs), and provides the appropriate assessment to five well-known hypervisors built in VCCSs. The methodology the authors proposed in this paper will gives people an insight into the problem of physical server transition to virtualized infrastructure server. Findings – As a matter of fact, VM performance seems almost to achieve the same level, but the estimation of VM density and TCO/ROI are totally different among hypervisors. As a result, the authors have the recommendation to choose the hypervisor ESX server if you need a scheme with higher ROI and lower TCO. Alternatively, Proxmox VE would be the second choice if you like to save the initial investment at first and own a pretty well management interface at console. Research limitations/implications – In the performance analysis, instead of ESX 5.0, the authors adopted ESXi 5.0 that is free software, its function is limited, and does not have the full functionality of ESX server, such as: distributed resource scheduling, high availability, consolidated backup, fault tolerance, and disaster recovery. Moreover, this paper do not discuss the security problem on VCCS which is related to access control and cryptograph in VMs to be explored in the further work. Practical implications – In the process of virtualizing the network, ESX/ESXi has restrictions on the brand of the physical network card, only certain network cards can be detected by the VM. For instance: Intel and Broadcom network cards. The newer versions of ESXi 5.0.0 and above now support parts of Realtek series (Realtek 8186, Realtek 8169, and Realtek 8111E). Originality/value – How to precisely assess the hypervisor for server/desktop virtualization is also of hard question needed to deal with it crisply before deploying new IT with VCCS on site. The authors have utilized the VMware calculator and developed an approach to server/desktop consolidation, virtualization performance, VM density, TCO, and ROIs. As a result, in this paper the authors conducted a comprehensive approach to analyze five well-known hypervisors and will give the recommendation for IT manager to choose a right solution for server virtualization.
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Ahuja, Sanjay P., and Suganya Sridharan. "Performance Evaluation of Hypervisors for Cloud Computing." International Journal of Cloud Applications and Computing 2, no. 3 (July 2012): 26–67. http://dx.doi.org/10.4018/ijcac.2012070102.

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The virtualization of IT infrastructure enables consolidation and pooling of IT resources so they are shared over diverse applications to offset the limitation of shrinking resources and growing business needs. Virtualization provides a logical abstraction of physical computing resources and creates computing environments that are not restricted by physical configuration or implementation. Virtualization is very important for cloud computing because the delivery of services simplified by providing a platform for optimizing complex IT resources in a scalable manner, which makes cloud computing more cost effective. Hypervisor plays an important role in the virtualization of hardware. This software provides a virtual hardware to support running multiple operating systems concurrently using one physical server. This research quantitatively and qualitatively compares the performance of VMware ESXi 4.1, Citrix Systems Xen Server 5.6 and KVM Hypervisors using standard benchmark SPECvirt_sc2010v1.01 formulated by Standard Performance Evaluation Committee (SPEC), which generate various Workloads simulating real life situations.
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Fox, Dirk. "Hypervisor." Datenschutz und Datensicherheit - DuD 36, no. 1 (January 2012): 54. http://dx.doi.org/10.1007/s11623-012-0012-y.

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Colafranceschi, Stefano, and Emanuele De Biase. "The Case for a Cost-Effective General-Purpose Computer Cluster for Small Colleges." International Journal of Emerging Technologies in Learning (iJET) 16, no. 04 (February 26, 2021): 4. http://dx.doi.org/10.3991/ijet.v16i04.18837.

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The computational capabilities of commercial CPUs and GPUs reached a plateau but soft-ware applications are usually memory-intense tasks and they commonly need/utilize most recent hardware developments. Computer clusters are an expensive solution, although reliable and versatile, with a limited market share for small colleges. Small schools would typically rely on cloud-based systems because they are more afford-able (less expensive), manageable (no need to worry about the maintenance), and easier to implement (the burden is shifted into the datacenter). Here we provide arguments in favor of an on-campus hardware solution, which, while providing benefits for students, does not present the financial burden associated with larger and more powerful computer clus-ters. We think that instructors of engineering/computer science faculties might find this a viable and workable solution to improve the computing environment of their school without incurring the high cost of a ready-made solution. At the basis of this proposal is the acquisition of inexpensive refurbished hardware and of a type1 VMware hypervisor with a free licensing, as well as of a custom-made web plat-form to control the deployed hypervisors. VMware is a global leader in cloud infrastruc-ture and software-based solutions. In particular, the adoption of a customized "Elastic Sky X integrated" as hypervisor together with Virtual Operating Systems installed in the very same datastore, would constitute an interesting and working proof-of-concept achieving a computer cluster at a fraction of the market cost.
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Dissertations / Theses on the topic "Hypervizor hypervisor"

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Škultéty, Erik. "Aplikační rozhraní pro administraci projektu Libvirt." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255346.

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Tato práce se zabývá problematikou virtualizace, konkrétně virtualizační knihovnou libvirt, cílem které je správa virtuálních strojů a podpora různých typů hypervizorů a virtualizačních řešení jednotným způsobem transparentním pro uživatele. Podstatná část funkcionality knihovny libvirt je na pozadí implementována formou démona libvirtd. Ačkoliv libvirtd démon poskytuje služby pro správu virtuálních strojů, neumožňuje správu sebe samého, kromě změn hodnot parametrů v konfiguračním souboru. Pro změnu nastavení je pak standardním přístupem změna v konfiguračním souboru a následný restart démona. Jelikož uvedený způsob mění pouze perzistentní konfiguraci a restart démona nemusí být vždy optimální řešení, vznikla idea administrativního rozhraní knihovny libvirt, které by umožnilo správu démona za běhu. Hlavním přínosem této práce je návrh a popis implementace aplikačního rozhraní pro administraci knihovny libvirt. Konkrétně pro tuto práci byla zvolena rozhraní pro konfiguraci počtu obslužných vláken, nastavení úrovně a filtrovacích parametrů pro žurnálovací podsystém a správu připojených klientů na straně démona libvirtd.
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Rybák, Martin. "Konsolidace serverů za použití virtualizace." Master's thesis, Vysoká škola ekonomická v Praze, 2007. http://www.nusl.cz/ntk/nusl-77173.

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The thesis deals with the topic of complexity of current IT. As a result, the consolidation of servers using virtualization is the answer to permanently growing complexity of server infrastructure. The thesis summarizes the basic aspects of this issue, compares the contributions and tries to analyze problems which can emerge. Further, it points a way of consolidation journey, compares different types of virtualization and elaborates the contributions of virtualization for corporate IS/ICT and its flexibility of solution. It analyzes present state of the market with virtualization tools, describes and compares some products of the market key players and analyzes the new opportunities for virtualization, e. g. the virtual desktop infrastructure. At the end, it suggests an approach for consolidated project solution in practice and tries to show some basic steps which should not be omitted. Besides the complex view to the topic, the thesis also presents the contributions, risks and questions to be raised and, at least partly, answers these questions.
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Krempa, Peter. "Analysis of Entropy Levels in the Entropy Pool of Random Number Generator." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236179.

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V informatice je pojem entropie obvykle znám jako nahodný proud dat.  Tato práce krátce shrnuje metody generovaní nahodných dat a popisuje generátor náhodnych čísel, jež je obsažen v jádře operačního systému Linux.  Dále se práce zabývá určením bitové rychlosti generování nahodných dat tímto generátorem ve virtualizovaném prosředí, které poskytují různé hypervizory.  Práce popíše problémy nízkého výkonu generátory nahodných dat ve virtualním prostředí a navrhne postup pro jejich řešení.  Poté je nastíňena implementace navržených postupů, které je podrobena testům a její vysledky jsou porovnány s původním systémem. Systém pro distribuci entropie může dále vylepšit množství entropie v sytémovém jádře o několik řádu, pokud je připojen k vykonému generátoru nahodných dat.
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Isenstierna, Tobias, and Stefan Popovic. "Computer systems in airborne radar : Virtualization and load balancing of nodes." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18300.

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Introduction. For hardware used in radar systems of today, technology is evolving in an increasing rate. For existing software in radar systems, relying on specific drivers or hardware, this quickly becomes a problem. When hardware required is no longer produced or outdated, compatibility problems emerges between the new hardware and existing software. This research will focus on exploring if the virtualization technology can be helpful in solving this problem. Would it be possible to address the compatibility problem with the help of hypervisor solutions, while also maintaining high performance? Objectives. The aim with this research is to explore the virtualization technology with focus on hypervisors, to improve the way that hardware and software cooperate within a radar system. The research will investigate if it is possible to solve compatibility problems between new hardware and already existing software, while also analysing the performance of virtual solutions compared to non-virtualized. Methods. The proposed method is an experiment were the two hypervisors Xen and KVM will analysed. The hypervisors will be running on two different systems. A native environment with similarities to a radar system will be built and then compared with the same system, but now with hypervisor solutions applied. Research around the area of virtualization will be conducted with focus on security, hypervisor features and compatibility. Results. The results will present a proposed virtual environment setup with the hypervisors installed. To address the compatibility issue, an old operating system has been used to prove that implemented virtualization works. Finally performance results are presented for the native environment compared against a virtual environment. Conclusions. From results gathered with benchmarks, we can see that the individual performance might vary, which is to be expected when used on different hardware. A virtual setup has been built, including Xen and KVM hypervisors, together with NAS communication. Running an old operating system as a virtual guest, compatibility has been proven to exist between software and hardware using KVM as the virtual solution. From the results gathered, KVM seems like a good solution to investigate more.
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Cardace, Antonio. "UMView, a Userspace Hypervisor Implementation." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13184/.

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UMView is a partial virtual machine and userspace hypervisor capable of intercepting system calls and modifying their behavior according to the calling process' view. In order to provide flexibility and modularity UMView supports modules loadable at runtime using a plugin architecture. UMView in particular is the implementation of the View-OS concept which negates the global view assumption which is so radically established in the world of OSes and virtualization.
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Klemperer, Peter Friedrich. "Efficient Hypervisor Based Malware Detection." Research Showcase @ CMU, 2014. http://repository.cmu.edu/dissertations/466.

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Recent years have seen an uptick in master boot record (MBR) based rootkits that load before the Windows operating system and subvert the operating system’s own procedures. As such, MBR rootkits are difficult to counter with operating system-based antivirus software that runs at the same privilege-level as the rookits. Hypervisors operate at a higher privilege level than the guests they manage, creating a high-ground position in the host. This high-ground position can be exploited to perform security checks on the virtual machine guests where the checking software is isolated from guest-based viruses. The efficient introspection system described in this thesis targets existing virtualized systems to improve security with real-time, concurrent memory introspection capabilities. Efficient introspection decouples memory introspection from virtual machine guest execution, establishes coherent and consistent memory views between the host and running guest, while maintaining normal guest operation. Existing introspection systems have provided one or two of these properties but not all three at once. This thesis presents a new concurrent-computing approach – high-performance memory snapshotting – to accelerating hypervisor based introspection of virtual machine guest memory that combines all three elements to improve performance and security. Memory snapshots create a coherent and consistent memory view of the guest that can be shared with the independently running introspection application. Three memory snapshotting mechanisms are presented and evaluated for their impact on normal guest operation. Existing introspection systems and security protection techniques that were previously dismissed as too slow are now be enabled by efficient introspection. This thesis explains why existing introspection systems are inadequate, describes how existing system performance can be improved, evaluates an efficient introspection prototype on both applications and microbenchmarks, and discusses two potential security applications that are enabled by efficient introspection. These applications point to efficient introspection’s utility for supporting useful security applications.
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McAdams, Sean. "Virtualization Components of the Modern Hypervisor." UNF Digital Commons, 2015. http://digitalcommons.unf.edu/etd/599.

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Virtualization is the foundation on which cloud services build their business. It supports the infrastructure for the largest companies around the globe and is a key component for scaling software for the ever-growing technology industry. If companies decide to use virtualization as part of their infrastructure it is important for them to quickly and reliably have a way to choose a virtualization technology and tweak the performance of that technology to fit their intended usage. Unfortunately, while many papers exist discussing and testing the performance of various virtualization systems, most of these performance tests do not take into account components that can be configured to improve performance for certain scenarios. This study provides a comparison of how three hypervisors (VMWare vSphere, Citrix XenServer, and KVM) perform under different sets of configurations at this point and which system workloads would be ideal for these configurations. This study also provides a means in which to compare different configurations with each other so that implementers of these technologies have a way in which to make informed decisions on which components should be enabled for their current or future systems.
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Shah, Tawfiq M. "Radium: Secure Policy Engine in Hypervisor." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804971/.

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The basis of today’s security systems is the trust and confidence that the system will behave as expected and are in a known good trusted state. The trust is built from hardware and software elements that generates a chain of trust that originates from a trusted known entity. Leveraging hardware, software and a mandatory access control policy technology is needed to create a trusted measurement environment. Employing a control layer (hypervisor or microkernel) with the ability to enforce a fine grained access control policy with hyper call granularity across multiple guest virtual domains can ensure that any malicious environment to be contained. In my research, I propose the use of radium's Asynchronous Root of Trust Measurement (ARTM) capability incorporated with a secure mandatory access control policy engine that would mitigate the limitations of the current hardware TPM solutions. By employing ARTM we can leverage asynchronous use of boot, launch, and use with the hypervisor proving its state and the integrity of the secure policy. My solution is using Radium (Race free on demand integrity architecture) architecture that will allow a more detailed measurement of applications at run time with greater semantic knowledge of the measured environments. Radium incorporation of a secure access control policy engine will give it the ability to limit or empower a virtual domain system. It can also enable the creation of a service oriented model of guest virtual domains that have the ability to perform certain operations such as introspecting other virtual domain systems to determine the integrity or system state and report it to a remote entity.
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Suryanarayana, Vidya. "Impact of hypervisor cache locking on performance." Diss., Wichita State University, 2013. http://hdl.handle.net/10057/10616.

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Server virtualization has become the modern trend in various industries. Industries are resorting to the deployment of virtualized servers in order to cut the cost of additional, expensive hardware and consolidate the servers on minimal hardware for easier management and maintenance. Virtualized servers are often seen connected to disk arrays in many industries ranging from small to medium business to large data centers. In such a setup, assuring a low latency of data access from the disk array plays an important role in improving the performance and robustness of the overall system. Caching techniques have been researched and used in the past on traditional processors to reduce the number of memory accesses and have proven benefits in alleviating the response times of applications. The research done in this paper explores caching on the hypervisor and analyzes the performance of data cache locking technique in hypervisor caches. The research aims at reducing the Input / Output (I/O) latency in a server virtualized Storage Area Network (SAN) setup, which thereby increases the performance of applications running on the virtualized servers. The authors introduce a miss table that can determine the blocks of data in the hypervisor cache that need to be locked. Way cache locking method is used for locking, such that only selected lines of cache are locked (not the entire cache). The proposed cache locking technique is later evaluated with the introduction of a small victim buffer cache and probability based cache replacement algorithm. Valgrind simulation tool was used to generate memory traces by virtual machines (VMs). Experimental results show an improved cache hit percentage and a considerable reduction in the I/O response time due to the proposed cache locking technique when compared to the results without hypervisor cache locking.
Thesis (Ph.D.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science
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Chan, Lawrence L. "Modeling virtualized application performance from hypervisor counters." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66404.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 61-64).
Managing a virtualized datacenter has grown more challenging, as each virtual machine's service level agreement (SLA) must be satisfied, when the service levels are generally inaccessible to the hypervisor. To aid in VM consolidation and service level assurance, we develop a modeling technique that generates accurate models of service level. Using only hypervisor counters as inputs, we train models to predict application response times and predict SLA violations. To collect training data, we conduct a simulation phase which stresses the application across many workloads levels, and collects each response time. Simultaneously, hypervisor performance counters are collected. Afterwards, the data is synchronized and used as training data in ensemble-based genetic programming for symbolic regression. This modeling technique is quite efficient at dealing with high-dimensional datasets, and it also generates interpretable models. After training models for web servers and virtual desktops, we test generalization across different content. In our experiments, we found that our technique could distill small subsets of important hypervisor counters from over 700 counters. This was tested for both Apache web servers and Windows-based virtual desktop infrastructures. For the web servers, we accurately modeled the breakdown points and also the service levels. Our models could predict service levels with 90.5% accuracy on a test set. On a untrained scenario with completely different contending content, our models predict service levels with 70% accuracy, but predict SLA violation with 92.7% accuracy. For the virtual desktops, on test scenarios similar to training scenarios, model accuracy was 97.6%. Our main contribution is demonstrating that a completely data-driven approach to application performance modeling can be successful. In contrast to many other works, our models do not use workload level or response times as inputs to the models, but nevertheless predicts service level accurately. Our approach also lets the models determine which inputs are important to a particular model's performance, rather than hand choosing a few inputs to train on.
by Lawrence L. Chan.
M.Eng.
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Books on the topic "Hypervizor hypervisor"

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Chisnall, David. The definitive guide to the Xen hypervisor. Upper Saddle River, NJ: Prentice Hall, 2008.

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1977-, Sterling Mike, and Stewart Allen 1969-, eds. Windows server 2008 Hyper-V: Insiders guide to Microsoft's Hypervisor. Indianapolis, Ind: Wiley Pub., 2009.

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1977-, Sterling Mike, ed. Windows server 2008 R2 Hyper-V: Insiders guide to Microsoft's Hypervisor. Hoboken, NJ: Wiley, 2010.

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Kelbley, John. Windows server 2008 R2 Hyper-V: Insiders guide to Microsoft's Hypervisor. Indianapolis: Wiley Technology Pub., 2010.

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Xen Virtualization: A fast and practical guide to supporting multiple operating systems with the Xen Hypervisor. Birmingham: Packt Publishing, Limited, 2007.

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Litty, Lionel. Hypervisor-based intrusion detection. 2005.

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Litty, Lionel. Hypervisor-based intrusion detection. 2005.

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Blokdyk, Gerardus. Embedded Hypervisor a Complete Guide - 2020 Edition. Emereo Pty Limited, 2020.

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The Definitive Guide to the Xen Hypervisor. Prentice Hall PTR, 2007.

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Chisnall, David. The Definitive Guide to the Xen Hypervisor. Prentice Hall, 2007.

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Book chapters on the topic "Hypervizor hypervisor"

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Jain, Shashank Mohan. "Hypervisors." In Linux Containers and Virtualization, 15–30. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6283-2_2.

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Zaidenberg, Nezer Jacob, Michael Kiperberg, Raz Ben Yehuda, Roee Leon, Asaf Algawi, and Amit Resh. "Hypervisor Memory Introspection and Hypervisor Based Malware Honeypot." In Communications in Computer and Information Science, 317–34. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49443-8_15.

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Vasudevan, Amit. "Micro-Hypervisor Applications." In Practical Security Properties on Commodity Computing Platforms, 73–85. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25049-2_4.

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Graziano, Mariano, Andrea Lanzi, and Davide Balzarotti. "Hypervisor Memory Forensics." In Research in Attacks, Intrusions, and Defenses, 21–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41284-4_2.

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Cohen, Ernie. "Validating the Microsoft Hypervisor." In FM 2006: Formal Methods, 81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11813040_6.

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Barrett/Norris, Kenneth/Stephen. "Building the Hypervisor Host." In Running Mainframe z on Distributed Platforms, 31–51. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6431-6_3.

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Budianto, Enrico, Richard Chow, Jonathan Ding, and Michael McCool. "Language-Based Hypervisors." In Cryptology and Network Security, 731–36. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48965-0_52.

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Vasudevan, Amit. "Micro-Hypervisors: What? Why?" In Practical Security Properties on Commodity Computing Platforms, 1–10. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25049-2_1.

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Alkassar, Eyad, Mark A. Hillebrand, Wolfgang Paul, and Elena Petrova. "Automated Verification of a Small Hypervisor." In Verified Software: Theories, Tools, Experiments, 40–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15057-9_3.

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Mutch, John, and Brian Anderson. "Protecting Virtual Environments from Hypervisor Sabotage." In Preventing Good People from doing Bad Things, 97–111. Berkeley, CA: Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3922-2_6.

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Conference papers on the topic "Hypervizor hypervisor"

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Ferruzzi, Adriano José, Christian Esteve Rothenberg, and Leandro Martinez. "Análise do Comportamento de Aplicações Paralelas em Ambientes de Computação de Alto Desempenho Virtualizados." In XVIII Workshop em Clouds e Aplicações. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/wcga.2020.12444.

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A computação em nuvem tem se tornado cada vez mais frequente em empresas e universidades, principalmente devido ao fato da nuvem computacional ser mais facilmente administrada uma vez que seu ambiente esteja devidamente configurado. Entretanto, há resistência na implantação de ambientes de computação de alto desempenho em nuvem e isso, provavelmente, está associado ao fato da nuvem precisar de um hypervisor para a administração das máquinas virtuais, resultando em uma perda de desempenho causado pela camada de virtualização. Por outro lado, as tecnologias de virtualização estão em constante avanço, tornando essa perda de desempenho menor com o passar dos anos. Sendo assim, o trabalho faz a análise do desempenho de aplicações paralelas e da infraestrutura utilizada além de avaliar as características dos hypervisors XenServer e KVM com o propósito de comparar o desempenho de cada ambiente e identificar qual a melhor hypervisor a ser utilizada na criação de um ambiente de computação de alto desempenho virtualizado.
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"Extending Hypervisor Architecture to Allow One Way Data Transfers from VMs to Hypervisors." In 4th International Conference on Cloud Computing and Services Science. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004958006040609.

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Sartakov, Vasily A., and Rudiger Kapitza. "NV-Hypervisor: Hypervisor-Based Persistence for Virtual Machines." In 2014 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). IEEE, 2014. http://dx.doi.org/10.1109/dsn.2014.64.

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VanderLeest, Steven H. "ARINC 653 hypervisor." In 2010 IEEE/AIAA 29th Digital Avionics Systems Conference (DASC). IEEE, 2010. http://dx.doi.org/10.1109/dasc.2010.5655298.

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Naughton, Thomas, Geoffroy Vallee, Stephen L. Scott, and Ferrol Aderholdt. "Loadable Hypervisor Modules." In 2010 43rd Hawaii International Conference on System Sciences. IEEE, 2010. http://dx.doi.org/10.1109/hicss.2010.258.

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Dubrulle, P., R. Sirdey, P. Dore, M. Aichouch, and E. Ohayon. "Blind hypervision to protect virtual machine privacy against hypervisor escape vulnerabilities." In 2015 IEEE 13th International Conference on Industrial Informatics (INDIN). IEEE, 2015. http://dx.doi.org/10.1109/indin.2015.7281938.

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Gantet, Anais. "CrashOS: Hypervisor Testing Tool." In 2017 IEEE 28th International Symposium on Software Reliability Engineering: Workshops (ISSREW). IEEE, 2017. http://dx.doi.org/10.1109/issrew.2017.34.

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Thongthua, Ammarit, and Sudsanguan Ngamsuriyaroj. "Assessment of Hypervisor Vulnerabilities." In 2016 International Conference on Cloud Computing Research and Innovations (ICCCRI). IEEE, 2016. http://dx.doi.org/10.1109/icccri.2016.19.

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Omote, Yushi, Yosuke Chubachi, Takahiro Shinagawa, Tomohiro Kitamura, Hideki Eiraku, and Katsuya Matsubara. "Hypervisor-based background encryption." In the 27th Annual ACM Symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2245276.2232073.

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Bressoud, T. C., and F. B. Schneider. "Hypervisor-based fault tolerance." In the fifteenth ACM symposium. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/224056.224058.

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Reports on the topic "Hypervizor hypervisor"

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Chandramouli, Ramaswamy. Security recommendations for hypervisor deployment on servers. Gaithersburg, MD: National Institute of Standards and Technology, January 2018. http://dx.doi.org/10.6028/nist.sp.800-125a.

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Chandramouli, Ramaswamy. Security recommendations for server-based hypervisor platforms. Gaithersburg, MD: National Institute of Standards and Technology, June 2018. http://dx.doi.org/10.6028/nist.sp.800-125ar1.

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Mitchum, Terrence, Kent Larson, Raymond Lu, Brian Loe, and Dick O'Brien. Hypervisors for Security and Robustness. Fort Belvoir, VA: Defense Technical Information Center, February 1999. http://dx.doi.org/10.21236/ada360460.

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Vasudevan, Amit, Jonathan M. McCune, and James Newsome. It's an app. It's a hypervisor. It's a hypapp. : Design and Implementation of an eXtensible and Modular Hypervisor Framework. Fort Belvoir, VA: Defense Technical Information Center, June 2012. http://dx.doi.org/10.21236/ada579935.

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Chandramouli, Ramaswamy, Anoop Singhal, Duminda Wijesekera, and Changwei Liu. Methodology for enabling forensic analysis using hypervisor vulnerabilities data. Gaithersburg, MD: National Institute of Standards and Technology, June 2019. http://dx.doi.org/10.6028/nist.ir.8221.

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Chaki, Sagar, Amit Vasudevan, Limin Jia, Jonathan McCune, and Anupam Datta. Design, Development, and Automated Verification of an Integrity-Protected Hypervisor. Fort Belvoir, VA: Defense Technical Information Center, July 2012. http://dx.doi.org/10.21236/ada579386.

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Asai, H., M. MacFaden, J. Schoenwaelder, K. Shima, and T. Tsou. Management Information Base for Virtual Machines Controlled by a Hypervisor. RFC Editor, October 2015. http://dx.doi.org/10.17487/rfc7666.

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Zaharia, Matei, Sachin Katti, Chris Grier, Vern Paxson, Scott Shenker, Ion Stoica, and Dawn Song. Hypervisors as a Foothold for Personal Computer Security: An Agenda for the Research Community. Fort Belvoir, VA: Defense Technical Information Center, January 2012. http://dx.doi.org/10.21236/ada555877.

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