one that semiconductor foundries had on the hardware A general purpose technology can provide a industry [5].

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1 Analysis of Servers A Comparison on Cloud Elastic Server on Business Models Ravi Kumar Athota, NarendraMupparaju, Prabhakar Marry, Samskruti College of Engineering & Technology information is stored in servers and provided as a service Abstract - Cloud computing offers Software-as-a-Service (SaaS) is beneficial to MNC corporations and industries, (Software as a Service, or SaaS) and on-demand to clients (from the clouds indeed). which wish tooutsource software-related activities and use Its impact will be spectacular on both consumers and simple effort and low-cost software systems. The expected firms. On one side, consumers will be able to access all of technological details are well represented in the contemporary their documents and data from any device (the personal literature. However, comprehensive understanding of AmazonEC2 as a business model servers persistent and highly laptop, the mobile phone, an Internet Point..), as they traditional server but its on-demand in the cloud dynamically already do for services, and to exploit impressive work around failure in industry.this article reveals benefits of computational capabilities.[4] On the other side, firms Amazon cloud server over other businessmodels. The resulting will be able to rent computing power (both hardware and comparison contributes to understanding how software software) and storage from a service provider and to pay companies need toalign model elements in order to run on demand, as they already do for other inputs as energy successful business with low failure rate and better effort. and electricity: that is why we talk of utility computing. The former application will affect our lifestyles, but the Keywords: Amazon EC2, Server, Business Model, High Performance, Software Industry. latter will have a profound impact in terms of cost reductions on the software industry. According to Armbrust et al. (2009) this impact will be similar to the I. INTRODUCTION one that semiconductor foundries had on the hardware A general purpose technology can provide a industry [5]. fundamental contribution to promote growth and Cloud computing is a fundamental impact on the cost competition [1] and it can help the economy to recover from a severe downturn as the current one. In this article we employ the endogenous market structures approach (Etro, 2007a, 2009)2 to study the economic impact of an innovation in the hardware-software field which is going to have a profound effect on the market structure of many sectors and on the global macroeconomic performance in the next years. This innovation is associated with cloud computing, the new frontier of the Internet era, a technology through which information will be stored in servers and provided on line as a service to clients in a pay as we go in a manner. Firms will be able to adopt this service on demand, so as to avoid large up-front costs (that are structure of all the industries using hardware and software, and therefore it will have an indirect but crucial impact on their market structures. To prepare the scenario, many hardware and software companies are investing to create new platforms able to attract customers on the clouds. Cloud platforms provide services to create applications in competition or in alternative to on-premises platforms, the traditional platforms based on an operating system as a foundation, on a group of infrastructure services and on a set of packaged and custom applications. The crucial difference between the two platforms is that, while on-premises platforms are designed to support consumer-scale or enterprise-scale applications, cloud currently necessary for hardware and software platforms can potentially support multiple users at a equipment) and spend in ICT according to their production necessities - see Dubey and Wagle (2007) and Armbrust et al. (2009) for early reviews of the topic. This will have a large impact on the cost structure and through it on the production possibilities of all firms, especially small and medium size enterprises (SMEs). Our focus will be mainly on the theoretical impact of this innovation on the creation of new firms and products, on the empirical evidence about the impact of its introduction for the European economy and on the implications for policies supporting cloud computing adoption. This allows us to apply the theory of endogenous market structures to examine a macroeconomic experiment that can be hardly approached within the neoclassical or New- Keynesian frameworks. The term cloud computing wider scale, namely at Internet scale. Cloud computing has been seen as a step in the commoditization of IT investments (Carr, 2003), as the outcome of an evolution toward a utility business model in which computing capabilities are provided as a service (Rappa, 2004), as the core element of the era of Web 2.0, in which Internet is used as a software platform (O Reilly, 2005), or simply as an application of the generativity power of the Internet (Zittrain, 2007). Cloud computing refers to the ability to run software applications and store files remotely through services offered via the rather on own computer, the key advantages are ease of maintaining up to date software saves space on own computer and can be priced on a pay as needed basis. refers to an Internet-based technology through which 402

2 Fig 1. Represents the Cloud Computing With Different Organizations II. RELATED WORK Cloud computing has emerged as the natural evolution and integration of advances in several fields including utility computing distributed computing web services and service oriented architecture. The originality of cloud computing comes from packaging and offering resources in an economical scalable and flexible manner that is affordable and attractive to information technology customers and technology investors. As promoted by the vision of everything as a service many products are now offered as services under the cloud computing. Hardware resources and computing power are offered as services to customers, which enables the business resources than spending money to buy dedicated servers and networking equipment. Companies are billed for their usage following a utility computing model where usage of resources is metered. For example in the category of Amazon offers s3 for storage EC2 for computing power and SQS for network communication for small business and individual consumers. IaaS providers can allocate more computing power and hardware resources to applications on an as needed basis, and allow applications to scale in a horizontal fashion (several machines running the same application with load balancers distributing the workload). This enables flexibly scaling up or down the amount of required resources on-demand. This is a valuable feature for companies with occasional large computation needs or sudden peaks in demand such as flash crowds. On the other hand, IaaS providers, e.g., Amazon EC2, offer virtual machines to customers where they can deploy and run their programs. Typically several virtual machines run on the same physical machine to address the problem of underutilization of physical resources. Statistics show that 80% of computing power and 65% of storage capacity is not efficiently utilized, where a single company privately owns dedicated machines. III. BENEFITS OF WEB CLOUD COMPUTING Cloud computing is widely used in many organizations as service oriented, which have following benefits. A. Business Benefits: All the business software in highly integrated no need to enter the same date more than once. Even when you only use some of our applications and then add a new application the new application will automatically be populated with all your data. With high data integration come high customer satisfaction, can handle inquiries faster and better so that business looks more professional and receive more orders. Every business is different making our software easily and cost effectively customizable means have more control over our business processes and can provide a unique service to your customer, it is the success key for every CEO. Only when we focus on business will become a business success getting office organized does not earn money doing what we do the best and started business in the first place. Web business cloud framework provides tailored business management solutions for the micro business management solutions for the micro business market at affordable prices, comparable to standard and standalone software. B. Growth of the Business: better customer service generates repeat business is the most cost-effective way to get new sales, it will help to stay in touch with existing customers and service them better. Finding new customers is easy with web sales and marketing automation which get online engage with new contacts. Using web cloud will turn our business into a global business broading our customer base and making our business more resilient to economic downturns. Quickly integrate any new business staff and customers into business makes it easy to get the synergy benefits were looking good. C. Cloud benefits for Business: cloud computing will allow to access business data anywhere any time can open for business and take advantage of opportunity right away. Staff can use software on any platform we want such that Macs, PCs, Tablets and mobile phones, all our servers are in a physically secure location we don t need a whole department to run and saving money. We can access the business any time, can offer fast and reliable customer service over the weekend. All our data is backup automatically no matter what kind of disaster happens a strikes flood and so on. IV. PROBLEM DEFINITION As off now the base of information technology rely on the servers, we can develop our business terms using the technology provided such as warehouse, mining cloud computing is also one of the technology which grows up. Our analysis presents the cloud server introduced by Amazon Elastic and compares the EC2 with cloud servers. Cloud servers persistent and highly traditional 403

3 server but its on-demand in the cloud dynamically work around failure. Fig 2 example for Amazon EC2 Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers. Amazon EC2 s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon s proven computing environment. Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change. Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use. Amazon EC2 provides developers the tools to build failure resilient applications and isolate themselves from common failure scenarios. Amazon EC2 presents a true virtual computing environment, allowing you to use web service interfaces to launch instances with a variety of operating systems, load them with your custom application environment, manage your network s access permissions, and run your image using as many or few systems as you desire. How to use Amazon EC2: Select a pre-configured, template Amazon Machine Image (AMI) to get up and running immediately. Or create an AMI containing your applications, libraries, data, and associated configuration settings. Configure security and network access on your Amazon EC2 instance. Choose which instance type(s) you want, then start, terminate, and monitor as many instances of your AMI as needed, using the web service APIs or the variety of management tools provided. Determine whether you want to run in multiple locations, utilize static IP endpoints, or attach persistent block storage to your instances. Pay only for the resources that you actually consume, like instance-hours or data transfer. Amazon EC2 provides a number of powerful features for building scalable, failure resilient, enterprise class applications, including: A. Amazon Elastic Block Store Amazon Elastic Block Store (EBS) offers persistent storage for Amazon EC2 instances. Amazon EBS volumes are network-attached, and persist independently from the life of an instance. Amazon EBS volumes are highly available, highly reliable volumes that can be leveraged as an Amazon EC2 instance s boot partition or attached to a running Amazon EC2 instance as a standard block device. When used as a boot partition, Amazon EC2 instances can be stopped and subsequently restarted, enabling you to only pay for the storage resources used while maintaining your instance s state. Amazon EBS volumes offer greatly improved durability over local Amazon EC2 instance stores, as Amazon EBS volumes are automatically replicated on the backend (in a single Availability Zone). For those wanting even more durability, Amazon EBS provides the ability to create point-in-time consistent snapshots of your volumes that are then stored in Amazon S3, and automatically replicated across multiple Availability Zones. These snapshots can be used as the starting point for new Amazon EBS volumes, and can protect your data for long term durability. You can also easily share these snapshots with co-workers and other AWS developers. B. EBS-Optimized Instances For a low, additional, hourly fee, customers can launch selected Amazon EC2 instances types as EBS-Optimized instances. EBS- Optimized instances enable Amazon EC2 instances to fully utilize the IOPS provisioned on an EBS volume. EBS-Optimized instances deliver dedicated throughput between Amazon EC2 and Amazon EBS, with options between 500 Mbps and 1000 Mbps depending on the instance type used. C. Multiple Locations Amazon EC2 provides the ability to place instances in multiple locations. Amazon EC2 locations are composed of Regions and Availability Zones. Availability Zones are distinct locations that are engineered to be insulated from failures in other Availability Zones and provide inexpensive, low latency network connectivity to other Availability Zones in the same Region. By launching instances in separate Availability Zones, you can protect your applications from failure of a single location. D. Elastic IP Addresses Elastic IP addresses are static IP addresses designed for dynamic cloud computing. An Elastic IP address is associated with your account not a particular instance, and you control that address until you choose to explicitly release it. Unlike traditional static IP addresses, however, Elastic IP addresses allow you to mask instance or Availability Zone failures by programmatically remapping your public IP addresses to any instance in your account. Rather than waiting on a data technician to reconfigure or replace your host, or waiting for DNS to propagate to all of your customers, Amazon EC2 enables you to engineer around problems with your instance or software by quickly remapping your Elastic IP address to a replacement instance. 404

4 E. Amazon Virtual Private Cloud: Amazon VPC is a secure and seamless bridge between a company s existing IT infrastructure and the AWS cloud. Amazon VPC enables enterprises to connect their existing infrastructure to a set of isolated AWS compute resources via a Virtual Private Network (VPN) connection, and to extend their existing management capabilities such as security services, firewalls, and intrusion detection systems to include their AWS resources. F. Amazon Cloud Watch: It is a web service that provides monitoring for AWS cloud resources and applications, starting with Amazon EC2. It provides you with visibility into resource utilization, operational performance, and overall demand patterns including metrics such as CPU utilization, disk reads and writes, and network traffic. You can get statistics, view graphs, and set alarms for your metric data. To use Amazon CloudWatch, simply select the Amazon EC2 instances that you d like to monitor. You can also supply your own business or application metric data. Amazon CloudWatch will begin aggregating and storing monitoring data that can be accessed using web service APIs or Command Line Tools. G. Auto Scaling: Auto Scaling allows you to automatically scale your Amazon EC2 capacity up or down according to conditions you define. With Auto Scaling, you can ensure that the number of Amazon EC2 instances you re using scales up seamlessly during demand spikes to maintain performance, and scales down automatically during demand lulls to minimize costs. Auto Scaling is particularly well suited for applications that experience hourly, daily, or weekly variability in usage. H. Elastic Load Balancing: Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances. It enables you to achieve even greater fault tolerance in your applications, seamlessly providing the amount of load balancing capacity needed in response to incoming application traffic. Elastic Load Balancing detects unhealthy instances within a pool and automatically reroutes traffic to healthy instances until the unhealthy instances have been restored. You can enable Elastic Load Balancing within a single Availability Zone or across multiple zones for even more consistent application performance. I. High Performance Computing (HPC) Clusters: Customers with complex computational workloads such as tightly coupled parallel processes, or with applications sensitive to network performance, can achieve the same high compute and network performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2. Cluster Compute and Cluster GPU Instances have been specifically engineered to provide high-performance network capability and can be programmatically launched into clusters allowing applications to get the lowlatency network performance required for tightly coupled, node-to-node communication. Cluster Compute and Cluster GPU Instances also provide significantly increased throughput making them well suited for customer applications that need to perform networkintensive operations. V. COMPARATIVE STUDY ON CLOUD SERVERS Cloud servers are backed by the legendary fanatical support with our core service level customers get 24/7 chat, phone, ticket support and access to the network uptime guarantee. The cloud servers with a managed service level option gives our customers support for a number of third party software including, the Linux operating system distribution, Microsoft windows operating system images. One of the most significant differences between cloud servers and EC2 is the persistence of each virtual server, cloud servers has access to local RAID 10 disk storage much like to expect in a physical server, important because it means our server has inherent protection against drive failures. If for some reason the host does fail or becomes degraded we will restart the host does fail or becomes degraded and migrate the cloud servers a failure does not mean cloud server goes awaywe provide a wide variety of Cloud Server sizes, starting at 512 MB and going up to 30 GB. Cloud Servers can be resized to scale without any reinstallation.as compare to this server Amazon EC2 instances are transient or ephemeral if there is host failure that causes our instance to terminate all local data on that instance will be lost. Data persistence can be added with Amazon however, EBS adds additional cost and complexity Amazon EC2 Standard Instances start at 1.7 GB, so if your workload requires fewer resources, you are stuck paying for much more than you need. Amazon recently introduced Micro Instances (starting at 613 MB) for customers needing CPU burst capabilities. With EC2, the IP configuration is more complex. Each instance gets a non-persistent private IP address NATed to a public IP address. When instances terminate and new ones are launched, a new private IP address is assigned which means you need to plan for changing private IPs (although Elastic IPs can be remapped). In addition, only one NATed IP address is available which, for example, does not lend itself to hosting multiple sites via SSL. VI. CONCLUSION In this paper a general cloud computing finds the server in different organization for security issues which are running in a simultaneous cooperated and distributed. The technique of Amazon servers tolerate faults or server crash as users data grows in size, EC2 server benefits overcome the other servers. Our future direction is to implement a novel simulation results on cloud servers with high false rate can also be resolved by one such approach that uses a high rate of accuracy in the case of any business method with human- understandable can also improve the efficiency for secure analysis. 405

5 REFERENCES [1] Acemoglu, D., 2009, Introduction to Modern Economic Growth, Princeton University Press. [2] Armbrust, M., A. Fox, R. Griffith, A. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica and M. Zaharia, 2009, Above the Clouds: A Berkeley View of Cloud Computing, mimeo, UC Berkeley RAD Laboratory, [3] Armbrust, M., Fox, A., Griffith, R., Joseph, A., Katz, R., Konswinski, A., Lee, G., Patterson, D.,Rabkin, A., Stoica, I., Zaharia, M.: Above the Clouds: A Berkeley View of Cloud Computing.Electrical Engineering and Computer Sciences University of California at Berkeley (2009). [4] Jacobs, D.: Enterprise Software as Service: Online Services are changing the Nature ofsoftware. ACM Queue. July/August, (2005). [5] Mäkilä, T., Järvi, A., Rönkkö, M., Nissilä, J.: How to Define Software-as-a-Service AnEmpirical Study of Finnish SaaS Providers. Presented at the 1st International Conference on Software Business (ICSOB), Jyväskylä, Finland (2010). [6] Luoma, E., Helander, N., Frank, L.: Adoption of Open Source Software and Software-as-a-Service models in the Telecommunication Industry. Presented at the 2nd International Conferenceon Software Business (ICSOB), Brussels, Belgium (2011). AUTHOR BIOGRAPHY Ravi Kumar Athota Asst Prof M.Tech Information Technology from SRM University Chennai BE from GITAM College of Engineering. Currently he working at Samskruti College of Engineering & Technology having more than 4 years of experience in Academic and guided many UG & PG students. His areas of specialization include Networking, Computer Networks, and Operating System. Narendra Mupparaju Master of Engineering from Hindustan University Chennai B.Tech IT from Prakasam Engineering College. He is having more than 2 years of experience has guided UG & PG students, currently he is working as Asst Prof at Samskruti College of Engineering. His research areas include Computer Network, Compiler Design, Operating system, Linux. Prabhakar Marry M.Tech from RRS College of Engineering, JNTU B.Tech IT from SRTIST Engineering College. He is having more than 6 years of experience has guided UG & PG students, currently he is working as Asst Prof at MINA Institute of Engineering& Technology. His research areas include Software Engineering, Computer Networks, Cloud computing, Design Analysis of Algorithms, Data Structures. 406