Green Cloud : An Alternative For Traditional Data Center

Cloud computing has set a trend in the information technology arena that has sparked the interest of all who utilize the internet on purpose and unsuspectingly. Initially, the primary purpose of cloud computing was to provide a centralized data bank that organizations could use for quick data access. Its use has been quickly adapted, however, beyond business use to become the first option for personal use. The advantages and disadvantages of implementing such a shift from business to personal are varied, yet, statistically, according to the CISCO Global Cloud Index: Forecast and Methodology, 2014-2019 White Paper, its public use is on the rise. The report notes that “by 2019, 56 percent of the cloud workloads will be in public cloud data centers, up from 30 percent in 2014 and by 2019, 44 percent of the cloud workloads will be in private cloud data centers, down from 70 percent in 2014”. Though disadvantages with regard to data security is prominent, users have deemed that its implementation will still promote greater benefits than loss.

Internet Clouds: more gaint companies prefer to adapt internet clouds in order to decrease the storage of their data.

1. What business and social problems does data center power consumption cause? Information Technology Infrastructure 2. What solutions are available for these problems? Which are environment-friendly? 3. What are the business benefits and costs of these solutions? 4. Should all firms move toward green computing? Theorprojects in this section give you Why why not?

Decreasing greenhouse gas emissions and product transportation (3), improve data centre efficiencies and developing energy-efficient solutions and improved server architecture which consumes up to 89% less energy (4), uses 80% less space (4) and costs 70% less than traditional server environments (5).

One may look for quality or ease of access but in the end the main thing that’s at the top of everybody’s mind is the economy. Cloud data centers are fundamentally different because they are built for very large user numbers and for a particular focus. Traditional data centers cannot compete on cost. In fact it’s no competition on the cost front.

In conventional datacenters, there were two networks. One used for local area network which was built on Ethernet, was used by users to access applications running on servers. And the second one often built on Fiber channel, which connects servers to the storage module where mountains of data are stored. Both networks require huge capital investment, each requiring specialized hardware. Both networks have vastly different management tools, which require staff with different skill sets to build, maintain and manage. With the proliferation of datacenter, equipment density and power consumption became more critical than ever. Thus the cost of maintenance and total cost of ownership began to increase.

Cloud computing is a new way of delivering computing resources, not a new technology. Computing services ranging from data storage and processing to software, such as email handling, are now available instantly, commitment-free and on-demand. Since we are in a time of belt-tightening, this new economic model for computing has found fertile ground and is seeing massive global investment. According to IDC’s analysis, the worldwide forecast for cloud services in 2009 will be in the order of $17.4bn1. The estimation for 2013 amounts to $44.2bn, with the European market ranging from €971m in 2008 to €6,005m in 2013 2. The key conclusion of ENISA’s 2009 paper on Cloud

was expected to double again by the end of 2011 [1]. Our in depth analysis

Abstract— The growth of data volumes and variety of Internet applications data centers (DCs) have become an efficient and promising infrastructure . There is different type of data such as images , videos , text and other things , which is stored and it can be accessed if there is any need . But simple data center is not well efficient that it can fetch the data in millisecond . Existing data center architecture is not so good that it can handle such applications that need high storage ,high compute power and bandwidth .Virtual data center is a promising solution to address these problems . Virtualized data centers are efficient to provide better management flexibility, lower cost, scalability , better resources utilization, and energy efficiency. In this paper , we will present , how virtual data center has so many problems and what are the future scope of virtual data center .

and low power consumption is of great importance for both service/network providers and equipment manufacturers. An emerging technology called cloud computing can increase the utilization and efficiency of hardware equipment. It can potentially reduce the global CO2 emission. In this paper, we propose a virtual network architecture for cloud computing. In this paper Modified best fit decreasing algorithm (MBFD) is discuss for reduce the energy consumption . This paper presents a methodology for power and energy reduction in general purpose microprocessors, which is known as dynamic voltage frequency scaling (DVFS). The DVFS technique can be considered as an effective mechanism for reducing processor power and energy. In the last decade a lot of works have been done during the hardware and software implementation. In this paper a proposed control loop of DVFS technique has been introduced. The objective is to build a "green" virtual network in cloud computing.

Cloud computing is an expansive scale disseminated computing worldview driven by economies of scale, in which a pool of disconnected, virtualized, powerfully adaptable, exceptionally accessible, and configurable and reconfigurable computing resources can be immediately provisioned and released with irrelevant organization effort in the data centers. Moving data into the cloud offers magnificent solace to customers since they don 't have to consider the complexities of direct hardware organization. The pioneer of cloud computing dealers, Amazon Essential Storage Service (S3), and Amazon Flexible Figure Cloud (EC2) [2] are both definitely comprehended representations. While these electronic online services do give enormous measures of storage space and versatile computing resources, this computing stage shift, then again, is discarding the commitment of adjacent machines for data support meanwhile. Accordingly, customers are vulnerable before their cloud service provider (CSP) for the openness and dependability of their data.

Everywhere you go these days people are talking about cloud hosting. Now that cloud storage is available to the average person through music and other content download applications, such as iTunes, Amazon and Google, everyone seems to want a little piece of the cloud. When it comes to business, a cloud computing solution can be the answer to all your information technology (IT) prayers, providing all the data storage, security and services you need, without all the investments and hassle of having to set up a new infrastructure and manage it yourself.

1.2: At present the data centers are a great matter of concern and there is a global understanding about the future of the data centers. Although data centers are developing at a very fast pace but still the efforts are going on to standardize the things and reduce the environmental effects of the data centers. Some of the big IT companies like Google, yahoo, IBM etc. have gone a far ahead to achieve green data centers. Some companies like HCL, IBM etc. are providing packages to help the organizations develop green data centers in a cost effective manner. The larger player of the IT industry are all well aware of the effects of the data centers on the environment and they are trying their best but still we need to increase the awareness into small

In recent days Data centers contain a well-advanced equipment, including database servers, application servers, web servers, load balancers, telecommunications and storage systems, redundant power supplies, environmental controls, and security devices. Advanced devices are constantly being updated in the data centers as the electronic device usage is rapidly increasing, such as smartphones, that must be supported grows.

we put forward algorithms to solve the fundamental problem and prove the optimality in terms of energy savings. Finally, based on the algorithms, we present a cloud-based energy-saving service. The proposed offloading policy can reduce energy consumption on both mobile devices and the cloud jointly, which provides guidelines for the design of green mobile cloud. Keyword: Mobile devices, Cloud services, Energyconsumption, SSIM I. INTRODUCTION Advances in information and communications technology have increased the popularity of mobile devices.