Research papers on virtualization in cloud computing

E-Id: er.manjeet106@gmail.com

Abstract— The recent past have experienced tremendous rise and popularity of technologies like cloud computing and virtualization. Cloud computing is a construct that allows us to access applications that actually reside at a location other than your computer, most often, this will be a distant data center. Many organizations have already started implementing these technologies to further reduce costs through improved resource utilization. Cloud Computing and virtualization enable users to use applications on internet and intranet. In Cloud computing many of the services relies heavily on virtualized hardware. Because of this, we carefully reviewed existing virtual hardware services in order to both understand how the process works and to find the service that is best suited to Cloud computing and virtualization in different situations.

Keywords—Cloud Computing; Virtualization; Virtual Machine; Resource Utilisation; Data Center.

I. INTRODUCTION In Cloud computing, virtualization is the basis of

delivering Infrastructure as a Service (IaaS) that separates data, network, applications and machines from hardware constraints. Cloud computing is becoming popular among IT businesses due to its agile,flexible and cost effective services being offered at Software, Platform and In-frastructure level. Software as a Service (SaaS) allows users to access applications hosted by different vendors on Cloud via internet. Platform as a Service (PaaS) enables developers to code, test and deploy their applications on IaaS. In infrastructure as a Service (IaaS) model, Cloud provider’s offer services such as computing, network, storage and databases via internet. IaaS is the base of all Cloud services with PaaS and SaaS both built upon it. The primary features of IaaS are elasticity and virtualization. Virtualization enables a single system to concurrently run multiple isolated virtual machines (VMs), operating systems or multiple instances of a single operating system (OS) [1].

Cloud Suite relies heavily on virtualized hardware. Because of this, we carefully reviewed existing virtual hardware services in order to both understand how the process works and to find the service that is best suited to Cloud Suite.

Virtualization is one of the oldest areas of interest in computer science. One of the most successful examples of virtualization is the Java Virtual Machine (J V M) [3]. Using the J V M allows the Java programming language to produce identical results regardless of the instruction set architecture

(ISA) that is used by the hardware platform. This is because, for all intents and purposes, the compiled Java code is running on the same machine hyphen albeit in a virtual setting. As long as a system has a J V M installed that can translate Java byte code into the appropriate ISA, then the results will be identical.

The Java virtual machine allows one piece of virtual hardware to be present on multiple discrete systems. Software like V M Ware allows multiple virtual hardware systems to be present on a single piece of physical hardware. Creating multiple virtualized hardware images on a single piece of physical hardware is one of the cornerstones of cloud computing. These concurrent virtual images are made possible by a hypervisor. Various types of virtualization exists such as Client virtualization, Storage virtualization and Server virtualization in cloud computing.

II. NEED, BENEFITS AND CONS OF VM MIGRATION VM Migration is at the core of cloud computing. The

needs and benefits of virtualization are as follows [2]:

Multiple Systems: With virtualization we can run multiple applications even on different operating system on the same physical hardware.

Power Management: We can improve the power utilization.

Improve Resource Utilization: The resource utilization is increased with the virtualization.

Load Balancing: Load can be distributed on available resources.

Maintenance and Servicing.

It improves system availability.

It is scalable, as per the requirement with time.

Security is provided by running multiple servers in isolation.

The major hurdle with the virtualization is that the network load during the migration increases which results in the increase of communication cost. One side effect of this is that performance of application running on virtual machine degraded.

III. VIRTUAL MACHINE PLACEMENT TECHNIQUES The various algorithms implemented earlier for VM

Placement in data centers are First Fit, Next Fit, Random Fit,

International Conference on Advances in Computing, Communication Control and Networking (ICACCCN2018)

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Least full First, Most Full First, First Fit Decreasing (Single Dimension), First Fit Decreasing Product, First Fit Decreasing Sum, Dot Product, Minimizing Angle. First fit, next fit and random fit algorithms are simple algorithms. These algorithms do not consider the resource capacities needed for placing virtual machine and not consider the resource consumptions in physical machines. Least full first, most full first, first fit decreasing (single dimension) algorithms are designed based on CPU capacity. First fit decreasing product, first fit decreasing sum and dot product algorithms are designed for multi dimensional resources. In these algorithms, physical/virtual machines’ resource volumes are calculated using all resources capacities. In minimizing angle algorithm all resources are involved directly for placing virtual machines. In this algorithm different resource consumptions are balanced so that physical machines are minimized. This algorithm concentrates on balancing resources instead of maximizing resource usage of physical machines in each dimension. After all these Virtual Machine Placement algorithms, Modification of the Best Fit Decreasing (BFD) algorithm is implemented in cloud data centers for placement of Virtual Machines.

IV. SOME MAJOR CLOUD AND VIRTUALIZATION SERVICE PROVIDER

Google (Google App Engine)

Google App is great for all types of applications such as Business, Consumer, Marketing, Mobile, and Website [4].

Easy to Build: By using the familiar development tool it will allow the user to buildup and get started app quickly

Easy to Scale: It can serve any number of users and automatically responds to data traffic change.

Easy to Manage: Administer app through the centralize app web console always actives and works, can’t need software installation, server or backup etc.

Easy to Storage: GAE advanced storage infrastructure gives benefits to companies to store and access their data

Highly Scalable. Flexible Security and sharing. Fast data access. Reliable Storage Access.

Table 1: Comparison of service providers over various matrices

Google [4] Amazon [6] Microsoft [5] Cloud

Provider Google App Engine Amazon EC2 Azure

Service Mode PaaS /SaaS Provider PaaS/ SaaS Provider and IaaS PaaS/ SaaS Provider and IaaS