INTERNATIONAL JOURNAL OF TECHNOLOGICAL EXPLORATION AND LEARNING (IJTEL) www.ijtel.org
Hierarchical Organization of Data Centre to Improve Quality of Services (QoS) Pooja Devi
Kavita Rathi
Student at DCRUST, Murthal Gurgaon, India
Assistant Professor at DCRUST, Murthal Sonepat, India
Abstract— The cloud computing has become the buzz topic in today IT industry because it provides services at lower cost and high availability of services and supports the sharing of hardware and software simultaneously with multiple users. This paper exploits the coordination between data centre (DC) and user base (UB) to enhance the performance of data centre by determining the position of data centre relative to user base. Computing architecture is based on weak client (user base) and powerful data centre. Keywords- Cloud Analyst; resource- rich mobile computing.
I.
Cloud computing;
Cloudlet;
INTRODUCTION
Cloud computing is getting advanced day by day, and now it has gain popularity in information services. Many companies such as Microsoft, Amazon, Red Hat, and IBM are investing cloud computing infrastructure and research. Cloud computing is a synthesis of computing services like software as a service (SaaS), platform as a service (PaaS), infrastructure as a service (IaaS) [2]. The purpose of cloud computing is to provide reliable, fault- tolerant, secure and scalable infrastructure for hosting internet based application services. On one hand there are cloud service providers who provide and manage the large scale computing infrastructure at a cheaper price and eliminating the higher cost of setting up application deployment environment and provide services in a very flexible manner. On the other hand many social networking sites and e-commerce application minimize cost and improve quality of services to the end users by taking benefits of such services. But bringing these two ends together there are several factors that will impact the net benefits such as distribution of user base, the available internet infrastructure, dynamic nature of user base etc[5]. Architecture of cloud computing is composed of resource rich data centre facilities and resource poor client’s background. Researchers and developers have analysed that we need to test the cloud environment before real time implementation but it is not easy to study the impact of several geographical factors. Cloud Analyst is a simulation technique to investigate such type of behaviour [5]. Another alternative is to use Cloud-Sim framework [4]. Cloud–Sim can be use to configure number of user bases, data
IJTEL, ISSN: 2319-2135, VOL.3, NO.3, JUNE 2014
centres, scheduling and allocation policies. By using CloudSim researchers and developers can test the newly developed application service in a controlled and easy to set up environment. II.
CLOUD ANALYST
Cloud computing and distributed system laboratory at Australia developed cloud analyst simulator with cloud sim functionality [1]. On the top of Grid- Sim Cloud- Sim is developed and on the top of Cloud-Sim Cloud Analyst is developed. A. New Features Some new features have been introduced in Cloud Analyst [3].
Application users: These are the autonomous entities that need to configure.
Internet: It is used for data transmission across internet.
Simulation defined by time period: In Cloud-Sim process takes place based on some predefine events. There is a need to generate events until the set time period expires.
Service brokers: Management of the routing of user requests based on the service broker polices like service proximity based routing, performance optimized routing, dynamically reconfiguring router.
GUI and ability to save simulation results: Cloud-Sim is GUI, it makes user to do configuration the simulation easy. User can save the simulation results in the form of pdf file for future use.
B. Components of Cloud Analyst [1] Region: In cloud Analyst the world is divided into 6 Regions.
User Bases: User base may be a single user or group of hundreds or thousands of users that are used to generate traffic and access cloud services.
Data Centre: Computing services are provided to user bases via data centre which process the user requests. If more than one data centre is available then service broker algorithm (closest data centre, optimum
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