The Impact Of Cloud Computing And Virtualization

As we all know virtualization is the requirement of future. We have evolved from the age of traditional environment to virtual environment.We have grown accustomed to almost all things virtual from virtual memory to virtual networks to virtual storage.The most widely leveraged benefit of virtualization technology is server consolidation, enabling one server to take on the workloads of multiple servers. For example, by consolidating a branch office’s print server, fax server, exchange server, and web server on a single windows server, businesses reduce the costs of hardware, maintenance, and staffing.

The world is turning to cloud computing to manage data. Businesses are at the forefront of this new trend with companies such as Google, Amazon, Microsoft, and others leading the way by providing these services. What exactly is cloud computing? According to Turban & Volonino (2011), cloud computing is Internet- based computing in which shared resources (such as hard drives for storage) and software apps are provided to computers and other devices on- demand (p. 48).

It provides high satisfaction to the users. Load balancing is a relatively new technique that provides high resource utilization and better response time. [3] Cloud computing provide many advantages to the users.

The growth of cloud services has begun a transition of companies to partially or completely move services and abandon on-site data centers in favor of a cloud based solution. This movement has become a phenomenon for businesses; however, before a business implements any type of cloud solutions it must consider several things.

Various virtualized platform that helps user to accomplish their jobs with minimum response time and minimum completion time that are provided by cloud computing environment. There are three types of services in the cloud, they are Infrastructure as a Service (Iaas), Platform as a Service (Paas), Software as a service (SaaS). The characteristics of cloud computing are resources polling, elasticity, on demand services, broad network access and middleware capabilities from provider of delivering Iaas and Paas in the form of datacenter, above services provide by deployment models such as Public cloud, Private cloud, community cloud and hybrid cloud that are used by the cloud provider. Job Scheduling has the main goal to achieve a high performances computing and best system throughput. The important issues in scheduling are Priority of job because some jobs should be serviced earlier than other those jobs cannot wait for a long time in the system. Priority of jobs must be considered by a suitable job scheduling algorithm. To address this problem some of the priority of jobs scheduling algorithm must be considered. The role of Virtual Machine’s (VMs) is an important issue because, through virtualization technology, it makes the infrastructure of cloud computing to be scalable. Therefore the important issue is to develop on optimal scheduling of virtual machine.

Cloud based application workloads are very dynamic [1] and distinctive in nature, and the resources of the Cloud environments should exploit their native properties such as rapid elasticity, resource sharing, instant scaling etc, in such a way to handle the incoming workloads in an efficient way. Cloud datacenters are facing more commercial and interactive workloads at higher frequencies unlike the traditional

The scarcity of computing resources can lead to slowdown or delay in processing job requests. In some cases, it leads to the rejection of job request. However, the emergence of Cloud computing gives the illusion of infinite computing resources. These resources are made available on demand and can be provisioned rapidly and automatically in any amount of quantity to process users’ job requests. In the Cloud, it is possible to add up resources for provisioning when there is an increase in application load (Scale up). On the other hand, when there is a decrease in application load, resources can be released. (Scale down). This feature of the Cloud that dynamically scales the amount of the resources it provides to clients as their workloads increase or decrease is called elasticity [41]. In this work, the number of resources in the private Cloud are considered to be static (not elastic). However, based on the characteristics of the incoming jobs of users, extra public Cloud compute resources can be rented or released [1][42].

The main purpose of this is to overcome the overwhelming of a very large cloud computing environment. Balancing the public cloud using a round robin method that is by processing the jobs in a sequence and divide the cloud into considerable partitions. This counter balancing strategy will be used to predict the capacities of each node in the cloud and maintain the stability. That is by dividing a large public cloud into various cloud partitions so that the system performance is improved. This can be done by assigning the

“Cloud Computing‟ is the next natural step in the evolution of on-demand information technology services and products. To a large extent Cloud Computing will be based on virtualized resources” [2].

Cloud computing is one of the most useful technology that is been widely used all over the world. It generally provides on demand IT services and

Distributed computing is a pulling in innovation in the field of software engineering. In Gartner 's report, it says that the cloud will convey changes to the IT business. The cloud is changing our life by furnishing clients with new sorts of administrations. Clients get administration from a cloud without paying consideration on the subtle elements. NIST gave a meaning of distributed computing as a model for empowering omnipresent, helpful, on-interest system access to a mutual pool of configurable registering assets (e.g., systems, servers, stockpiling, applications, and administrations) that can be quickly provisioned and discharged with negligible administration exertion or administration supplier association. More individuals pay consideration on distributed computing. Distributed computing is productive and versatile however keeping up the strength of preparing such a variety of employments in the distributed computing environment is an exceptionally complex issue with burden adjusting getting much consideration for specialists. Since the occupation landing example is not unsurprising and the limits of every hub in the cloud contrast, for burden adjusting issue, workload control is essential to enhance framework execution and look after security. Burden adjusting plans relying upon whether the framework progress are essential can be either static or element. Static plans don 't utilize the framework data

Through the employment of contemporary virtualization technologies, with the incorporation of advanced tools that expands the coverage of the systems administrator, the cost and labor of operations will be significantly lowered. Efficiency improvement will have a direct impact on operation costs of many institutions. Resources that could have been used in the buying and maintaining data center infrastructure will be used in citizen centered services and other new innovations that can go a long way to assist the citizen and ensure smooth running of the government. Therefore, cloud computing will be a driving force to ensuring efficiency in the way public resources are managed to the advantage of the people.

(Joshi and Sivalingam 2013) [7] Cloud is exposed to malicious entries. Preservation of data hence is compulsory. In order to reduce the impact of server failures on the VDCs hosted in the data center, we present a new load balancing scheme based on clustering that efficiently allocates the VDCs on the data center.

Cloud computing system, which functions based on the concept of providing computing as a utility, can be defined as the method of providing resources for computing on demand, using remotely operational servers on the internet for data storage, processing data and managing data. Its equivalent to using a computer for its services, only without having to carry the hardware for it. Cloud applications, being dynamically scalable, agile and capable of running virtual applications and even an OS on a browser help in reducing costs of resource acquisition.

Abstract—Cloud computing can be partitioned as a fine granularity and pool of resources to serve multiple consumers. The on-demand delivery of cloud computing is mainly based on internet services. The remote users accessing the cloud systems by IaaS service. It provides the full infrastructure of the cloud environment. The multiuser parallel jobs are allocated to the host is really a challenging task. So that, the flow of jobs are handled by adaptive heuristic scheduling process. It helps to allocate the consumer jobs to the most appropriate fitted servers. In this paper, our system propose to create a single datacenter with five servers which has static memory size. The adaptive heuristic scheduling processing the parallel jobs and allocated to the servers. The frequent of server usage reductions are controlled using flag values. Then the system tracks all the information about the servers and its allocation process and stored it in a separate database. These database is referred as a provenance database. Finally a new jobs comes, it directly allocated to the fitted server with the reference of provenance database.