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.

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).

Project Title: Green Computing Project Charter Date of Authorization: April 30, 2012 Project Timeline: May 1, 2012 through December 1, 2012

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.

Abstract: In field of computer to get along with advancement on a work based payment model cloud computing is new change. With canonical advancement in data centres there is swift increase in energy consumption, cost of work and overall post effluent effect on atmosphere of carbon emission and other Gases which are poisonous.

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.

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

Data centers are one of the world’s largest consumer of electricity, servers are running 24*7 tightly controlled conditions of environment and mostly not at full load. With the high growth rate of social networking, electronic banking, internet usage, paperless work and modern IT services such as cloud computing and virtualization, the requirements for resilient, safe and energy-efficient data centers are increasing.

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.

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.

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.

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 .

For companies considering whether or not to use cloud computing versus staying with or building their own data centre, there are three primary factors affecting their decision: their business needs,

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.