Application of Virtualization Technology in IaaS Cloud Deployment Model

2018 ◽  
pp. 29-99
Author(s):  
Ganesh Chandra Deka ◽  
Prashanta Kumar Das
Keyword(s):  
Social Networking ◽  
Open Source ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Effective Utilization ◽  
Vm Migration ◽  
E Learning ◽  
Key Terms ◽  
Area Of Application ◽  
Technical Terms

Virtualization is an old proven technology used for effective utilization of Servers, Storage, and Network for reducing IT expenses without compromising the efficiency and agility for all size businesses. The area of application of Virtualization is very diverse such as e-Learning, Social Networking, and Simulation are a few to be mentioned. This chapter focuses on different virtualization approaches, benefits, architecture of different open source and commercial Virtual Machine Manager (VMM) and Virtual Machines (VM) migration techniques. All the technical terms appearing in this chapter is either defined wherever they appear or explained in the Key Terms and Definitions section of the chapter. The hardware requirements of all the hypervisiors are discussed for hassle free implementation and smooth reading of the chapter.

scholarly journals IPV4 and IPV6 based hybrid approach for spam and virus detection

2018 ◽  
Vol 7 (2.4) ◽  
pp. 147
Author(s):  
Swati Hira ◽  
Samir Ajani ◽  
Pratibha Kokardikar ◽  
Shubhangi Neware
Keyword(s):  
Open Source ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Hybrid Approach ◽  
Virus Detection ◽  
Entry Point ◽  
Software Interface ◽  
Established Fact

The proposed email setup consist of multiple mail servers distributed at two levels to achieve desirable email access performance. It is a well-established fact that 99% of the emails received over internet are either spam or contained viruses and such emails can be dropped at the first entry point of the Network. Thus, the first level in the proposed architecture has been taken as an email gateway which is equipped with antivirus and anti-spam software. Spam assassion is an open source freeware software for filtering of the spam emails. Perl based spamassassion id to CPU and Memory hungry for heavily loaded server thus this new arrangement would then overcome the Problem of slow Email access for users by detaching spamassassion from email repository servers. The second level of the servers with email repositories for users all the email servers used in this implementation would be Linux X86 servers. Virtualization technique presents a software interface to virtual machines that is similar but not identical to that of the underlying hardware. First level is implemented in Virtual machine. So as to provide scalability, portability, migration and vendor independent. 

scholarly journals PENGAMANAN NESTED VIRTUALIZATION SERVER UNTUK E-LEARNING MOODLE PADA PROXMOX VE MENGGUNAKAN METODE HIGH AVAILABILITY

BUANA ILMU ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 20-28
Author(s):  
Asep Sofyan Wahyudin ◽  
Muhamad Abdul Aziz ◽  
Eryan Ahmad Firdaus ◽  
Kanggep Andrijana Kusuma
Keyword(s):  
Information System ◽  
Virtual Machine ◽  
Virtual Machines ◽  
High Availability ◽  
Computing Technology ◽  
E Learning ◽  
Optimal Information ◽  
Real Machine

Perkembangan teknologi komputasi saat ini luar biasa sangan pesat, tak sedikit sebuah server yang dulunya hanya dimanfaatkan untuk menangani satu layanan saja, kini hal itu sudah di anggap sebagai pemborosan resource, salah satu penyebabnya adalah perkembangan metode virtualisasi yang di anggap dapat mengoptimalkan sebuah server untuk menangani lebih banyak layanan dengan cara membuat beberapa mesin virtual dalam satu mesin real untuk memaksimalkan kemampuan server, lalu apakan dalam sebuah mesin virtual dapat menjalakan mesin virtual lagi, amankah bila digunakan untuk menangani layanan sistem informasi secara optimal.  Kata Kunci- Virtualisasi Bersarang, E-Learning, High Availability.   The development of computing technology is currently very fast, not a few servers that were previously only used to handle one service, now it is considered a waste of resources, one of the causes is the development of virtualization methods which are considered to optimize servers for more services by creating several virtual machines in to one real machine to maximize server capabilities, so in a virtual machine can it run the virtual machine again, is it safe to using it for optimal information system services.  Keyword- Nested Virtualization, E-Learning, High Availability.

scholarly journals A Virtual Machine Migration Strategy Based on the Relevance of Services against Side-Channel Attacks

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Ji-Ming Chen ◽  
Shi Chen ◽  
Xiang Wang ◽  
Lin Lin ◽  
Li Wang
Keyword(s):  
Internet Of Things ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Edge Computing ◽  
Security And Privacy ◽  
Side Channel ◽  
Virtual Machine Migration ◽  
Side Channel Attacks ◽  
Migration Strategy ◽  
Vm Migration

With the rapid development of Internet of Things technology, a large amount of user information needs to be uploaded to the cloud server for computing and storage. Side-channel attacks steal the private information of other virtual machines by coresident virtual machines to bring huge security threats to edge computing. Virtual machine migration technology is currently the main way to defend against side-channel attacks. VM migration can effectively prevent attackers from realizing coresident virtual machines, thereby ensuring data security and privacy protection of edge computing based on the Internet of Things. This paper considers the relevance between application services and proposes a VM migration strategy based on service correlation. This strategy defines service relevance factors to quantify the degree of service relevance, build VM migration groups through service relevance factors, and effectively reduce communication overhead between servers during migration, design and implement the VM memory migration based on the post-copy method, effectively reduce the occurrence of page fault interruption, and improve the efficiency of VM migration.

scholarly journals A Virtual Machine Migration Strategy Based on Time Series Workload Prediction Using Cloud Model

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Yanbing Liu ◽  
Bo Gong ◽  
Congcong Xing ◽  
Yi Jian
Keyword(s):  
Time Series ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Cloud Model ◽  
Prediction Algorithm ◽  
Virtual Machine Migration ◽  
Migration Strategy ◽  
Workload Prediction ◽  
Vm Migration ◽  
Host Machine

Aimed at resolving the issues of the imbalance of resources and workloads at data centers and the overhead together with the high cost of virtual machine (VM) migrations, this paper proposes a new VM migration strategy which is based on the cloud model time series workload prediction algorithm. By setting the upper and lower workload bounds for host machines, forecasting the tendency of their subsequent workloads by creating a workload time series using the cloud model, and stipulating a general VM migration criterion workload-aware migration (WAM), the proposed strategy selects a source host machine, a destination host machine, and a VM on the source host machine carrying out the task of the VM migration. Experimental results and analyses show, through comparison with other peer research works, that the proposed method can effectively avoid VM migrations caused by momentary peak workload values, significantly lower the number of VM migrations, and dynamically reach and maintain a resource and workload balance for virtual machines promoting an improved utilization of resources in the entire data center.

scholarly journals Efficient Virtual Machine Memory Transfer in Datacenter with optimal downtime

2019 ◽  
Author(s):  
Girish L
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Flow Chart ◽  
Key Factors ◽  
Virtual Machine Migration ◽  
Memory Transfer ◽  
Vm Migration ◽  
Host Machine ◽  
Machine Memory

Cloud computing is a technology which relies onsharing various computing resources instead of having localservers to handle applications. Cloud computing is driven byvirtualization technology. Virtual machines need migration fromone host to anther due to the presence of error or over loading orslowness in the current running host machine. Live Virtualmachine migration is the transfer of running virtual machinefrom one host to another without stopping the current runningtask. During this live virtual machine migration Downtime is oneof the key factors that have to be considered and assessed.Here we present detailed survey on what are the importance oflive virtual machine migration in cloud computing technologyand various techniques to reduce the downtime during livevirtual machine migration. The flow chart showing the steps usedin Pre copy approach for VM migration. And also we presentthe result of the comparison between the two virtual machinemigration environments, VMWare and Xen Server.

scholarly journals A Novel Hadoop Based Virtualization Automated Framework

2019 ◽  
Vol 9 (2) ◽  
pp. 3701-3704
Keyword(s):  
Distributed Computing ◽  
Open Source ◽  
Virtual Machine ◽  
Virtual Machines

With the huge development in relocation to distributed computing for customary applications, the interest inHadoop VIRTUALIZATION is the new requirement for further research and improvements. The extreme interest for Hadoop VIRTUALIZATION in distributed computing is been tended to with the innovation improvement and regarding virtual machines. Significantly the equipment segments the executives of virtual machine is impressively achieving the pick of research with the ongoing headways by different organizations and open source explores like AlphaVM, Hyper-V, Integrity Virtual Machines, JPC (Virtual Machine), PowerVM, Sun xVM, VMware Workstation and z LPARs. Another most imperative segment of Hadoop VIRTUALIZATION and virtual machine picture stockpiling is been the bottleneck for the further headway. The impediments are being tended to by bunching and capacity territory organizing, anyway these current arrangements are no counterpart for the modern evaluation interest for the VM picture stockpiling necessities. Subsequently in this work we propose a cloud based virtual machine stockpiling structure intended for huge scale arrangement fulfilling alternate requirements for capacity highlights like replication and estimations of execution enhancements. This work additionally exhibits the headways in execution for Hadoop VIRTUALIZATION the board

scholarly journals EeadSelfCloud: Energy Efficient Adaptive Depth Self Cloud Mechanism for VM Migration in Data Centers

2019 ◽  
Vol 8 (10) ◽  
pp. 2236-2244
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Data Center ◽  
Data Centers ◽  
Virtual Machines ◽  
Power Saving ◽  
Human Beings ◽  
Hop Count ◽  
Vm Migration ◽  
Self Organizing

Cloud computing, with its great potential in low cost and demanding services, is a good computing platform. Modern data centers for cloud computing are facing the difficulty of consistently increasing complexity because of the expanding quantity of clients and their enlarging resource demands. A great deal of efforts are currently focused on giving the cloud framework with autonomic behavior , so it can take decision about virtual machine (VM) management over the datacenter without intervention of human beings. Most of the self-organizing solutions results in eager migration, which attempts to diminish the amount of working servers virtual machines. These self-organizing resolution produce needless migration due to unpredictable workload. So also it consume huge amounts of electrical energy during unnecessary migration process. To overcome this issue, this project develop one novel VM migration scheme called eeadSelfCloud. The proposed schema is used to change the virtual machine in a cloud center that requires a lot of factors, such as basic requirements for resources during virtual machine setup, dynamic resource allocation, top software loading, software execution, and power saving at the Data Center. Data Center Utilization, Average Node Utilization, Request Rejection Ration, Number of Hop Count and Power Consumption are taken as constraint for measuring the proposed approach. The analysis report depicted that the proposed approach performs best than the other existing approaches.

Efficient Inline Deduplication on VM Images in Desktop Virtualization Environment

2013 ◽  
Vol 307 ◽  
pp. 488-493 ◽  
Author(s):  
Guo Yu Zhao ◽  
Hao Fu Tang ◽  
Li Min Xiao ◽  
Xiu Qiao Li
Keyword(s):  
High Pressure ◽  
Open Source ◽  
Virtual Machine ◽  
Virtual Machines ◽  
File System ◽  
Physical Computing ◽  
Time Performance ◽  
Desktop Virtualization ◽  
Open Source Framework ◽  
Effective Use

Enterprise service is transforming from traditional physical computing nodes to virtual machines which provides better isolation and more effective use of computing ability of the hardware. However, the widely deployment of virtual machines also increase the pressure of storage significantly with the fact that each must has at list one multi-gigabytes image file to store. To address the high pressure of storage from virtual machine images, we developed a user level inline deduplication file system with Content Addressable Storage (CAS). We use the open-source framework FUSE to encapsulate the deduplication process so as to achieve portability and flexibility. Compared to an ordinary file system without deduplication, we show that our file system can save at least 30% of space of single VM image and even more of multiple VM images while achieving considerable run time performance.

scholarly journals Affinity based VM Migration: Taxonomy and Challenges

2019 ◽  
Vol 8 (12) ◽  
pp. 5799-5805
Keyword(s):  
Resource Management ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Research Paper ◽  
Cloud Environment ◽  
Virtual Machine Migration ◽  
Vm Migration ◽  
Dynamic Resource Management ◽  
Dynamic Resource

using virtualization many Virtual Machines can run parallel on the same Host. For dynamic resource management, virtual machines can be migrated from residing host to a different. But before starting the migration some questions need to be answered like when to start the virtual machine migration, which VM to migrated and where? The Virtual Machine migration methods on the Virtual cloud environment has already been researched at length, but very few studies have focused on affinity-relations among virtual machines during migration, hence the key objective of this research paper, is to explore the Affinity-aware VM migration in detail and propose Affinity-Aware VM migration algorithms for migration of a group of VMs with affinity to a destination Host with less capacity than required. This paper also provides a brief review of several virtual machine migration techniques

scholarly journals A Novel Physical Machine Overload Detection Algorithm Combined with Quiescing for Dynamic Virtual Machine Consolidation in Cloud Data Centers

2019 ◽  
Vol 17 (3) ◽  
pp. 358-366
Author(s):  
Loiy Alsbatin ◽  
Gürcü Öz ◽  
Ali Ulusoy
Keyword(s):  
Virtual Machine ◽  
Data Centers ◽  
Virtual Machines ◽  
Energy Performance ◽  
Detection Algorithm ◽  
Vm Migration ◽  
Cloud Data ◽  
Detection Algorithms ◽  
Physical Machine ◽  
Cloud Data Centers

Further growth of computing performance has been started to be limited due to increasing energy consumption of cloud data centers. Therefore, it is important to pay attention to the resource management. Dynamic virtual machines consolidation is a successful approach to improve the utilization of resources and energy efficiency in cloud environments. Consequently, optimizing the online energy-performance trade off directly influences Quality of Service (QoS). In this paper, a novel approach known as Percentage of Overload Time Fraction Threshold (POTFT) is proposed that decides to migrate a Virtual Machine (VM) if the current Overload Time Fraction (OTF) value of Physical Machine (PM) exceeds the defined percentage of maximum allowed OTF value to avoid exceeding the maximum allowed resulting OTF value after a decision of VM migration or during VM migration. The proposed POTFT algorithm is also combined with VM quiescing to maximize the time until migration, while meeting QoS goal. A number of benchmark PM overload detection algorithms is implemented using different parameters to compare with POTFT with and without VM quiescing. We evaluate the algorithms through simulations with real world workload traces and results show that the proposed approaches outperform the benchmark PM overload detection algorithms. The results also show that proposed approaches lead to better time until migration by keeping average resulting OTF values less than allowed values. Moreover, POTFT algorithm with VM quiescing is able to minimize number of migrations according to QoS requirements and meet OTF constraint with a few quiescings.

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