A Billboard Manager Based Model That Offers Dual Features Supporting Cloud Operating System And Managing Cloud Data Storage

Rajesh Bose,Sandip Roy,Debabrata Sarddar 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.6

With an increasing focus on mobility and an innate desire to access data and information efficiently and as quickly as possible, users are turning to technologies that can service their needs with the minimum of fuss and a high degree of reliability. In this paper, we have designed a proposed model that seeks to combine Billboard Manager with an open source cloud operating system known as eyeOS that, together, can help achieve the goals desired in a private cloud environment. The eyeOS is essentially a web-based operating system that allows file read/write/update operations in cloud. The architecture that we have proposed in this paper, involves a mix of the Internet, a private cloud zone, and a Billboard Manager managing an eyeOS powered layer. In this model, any user would be able to create, update, access, and delete almost any file from anywhere where there is Internet connectivity options available. The Billboard Manager would enable users to store or retrieve files across distributed storage nodes in a private cloud zone. The architecture that we have proposed is aimed at providing a thin-client architecture to any user with a PC, laptop, or a suitably-enabled mobile computing device, such that the user is able to collaborate and communicate his/her work within a private cloud zone from almost any location.

User Satisfied Online IaaS Cloud Billing Architecture with the Help of Billboard Manager

Rajesh Bose,Sandip Roy,Debabrata Sarddar 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.2

In the context of cloud computing, no other aspect looms larger over all others than billing in Infrastructure-as-a-Service or IaaS as it is also known. This paper proposes a checklist option on IaaS Online Billing System that is described as being transparent in its computation in incorporating information on cloud resources availed and consumed, the period under consideration, and the charges accrued, thereon, for utilizing services against payment on-demand. We have discussed here, our proposed Billboard Manager with the checklist option which helps the cloud user in ascertaining how much resources have been consumed and then pay for the services enjoyed. At preset intervals of customers’ choosing, a cloud service provider would be able to inform the users the actual usage. A user is required to thoroughly examine the information and approve the same, for final billing to take place. In case of discrepancy, a user would have the option to raise issues in pre-billing charge statement with the cloud service provider for mutual verification; and to arrive at the final bill. With the aid of this system, customer satisfaction could be significantly enhanced.

An Energy Efficient Dynamic Schedule based Server Load Balancing Approach for Cloud Data Center

Rajesh Bose,Sudipta Sahana,Debabrata Sarddar 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.3

Cloud computing has firmly installed itself as a highly evolved concept for hosting and providing hardware and software resources across networks and the Internet. With rapidly emerging markets, cloud service providers have come up against a significant hurdle. Aspiring to remain firmly competitive in the long run, cloud service providers have realized that maintaining energy efficient controls in place without compromising performance is an aspect that cannot be ignored. With ever expanding sphere of cloud computing, energy demands for supporting computing resources and networks keep on growing. The high rate of demand for crucial energy needs is the salient point that keeps featuring in the horizon of almost every cloud computing service provider. Servers powering cloud computing services need to be supplied constantly with energy to support end users. To help ensure reduced energy consumption, we have examined the application of dynamic time schedule based server utilization method in our work. In this paper, we have applied this approach to cut back generation of heat by attempting to avoid server overloads. Our method involves different power consumption patterns which help saving energy costs. Consequently, carbon emission rates are kept under control. Thus, achieving a green cloud computing model is possible without additional cooling systems which would, in turn, have required more power to operate.

An Adaptive Cloud Service Observation using Billboard Manager Cloud Monitoring Tool

Rajesh Bose,Sudipta Sahana,Debabrata Sarddar 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.7

Tracking of Quality of Service (QoS) parameters in real-time within a cloud computing system is a major challenge as it involves monitoring each every resource parameter. Such resources may constitute virtual machines, storage devices, network equipment, allied appliances, etc. Examination of physical resources being used to host the virtualized systems is often required on a continuous basis. This is important as virtualized systems also share physical resources among themselves. To monitor resources and services, we introduce a new monitoring tool named Billboard Manager Cloud Monitoring Tool (BMCMT) running on our proposed Billboard Manager system. Through this system, a cloud system administrator is apprised of the status of virtual machines that are running within the cloud system. The Billboard Manager keeps a continuous watch on all the parameters of every virtual machine and physical resource registered with it. At preset intervals, the proposed BMCMT would automatically send reports to the administrators. Every cloud system administrator is provided web login user identification. Should an administrator find it necessary to carry out any activity pertaining to any resource, using the constantly Billboard Manager refreshed hyperlinks on the web page the administrator can access the appropriate management console for further action.

Cloud-Enabled Data Center Organization using K-D Tree

Sandip Roy,Rajesh Bose,Tanaya Roy,Debabrata Sarddar 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.3

An efficient load balancing algorithm in the field of cloud computing is absolutely essential in order to have a cloud network with graceful performance satisfying user expectation. Inspite of the existence of handful lightly loaded data centers, numerous heavily overloaded data centers may lead to a performance degradation of overall cloud network. Proper workload distribution may improve the overall performance of the cloud system. Now a day’s eminent cloud division rules are highly demanding algorithm for distributing workloads among various cloud server nodes deployed in cloud-enabled data centers scattered over the geographical regions. For the researcher, cloud division rule and optimal cloud server node searching are the most demanding jobs in load balancing leading towards more efficient cloud network and improve users’ satisfaction. This paper presents an expeditious cloud division rule based on geographical location of the cloud-enabled data centers distributed over earth surface and builds a two-dimensional space partition k-d tree to partition them in order to search intended cloud server node efficiently. Our proposed organization scheme can be utilized for active monitoring load balancing algorithm to improve the resource utilization for high performance in present cloud computing environment.

Load Balancing with Tree Parity Machine

Ranjan Kumar Mondal,Rajesh Bose,Debabrata Sarddar 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.3

With rapidly growing influence and demand for cloud computing services, issues involving control, migration, security, availability of data, trust matters directly related to sensitive information stored can no longer be treated lightly. Through our work as explained in this paper, we discuss these topics, and also review several algorithms which are used in cloud computing. These algorithms are implemented in a cloud computing architecture to balance load to improve efficiency. Weighted active monitoring load balancing algorithm, dynamic load balancing algorithm, static algorithms, and ant colony algorithm are all used for load balancing in distributed computing systems. In this paper, we propose a load balancing technique based on Tree Parity Machine. Our approach is to design a Tree Parity Machine based model that would distribute workload evenly among all nodes. The technique proposed by us is not complicated. It has been conceived such that it can work efficiently with training sets that have been proven to produce intended results. Our Tree Parity Machine based model would predict the demand and, accordingly, allocate necessary resources. Thus, it would be able to maintain active servers to meet existing demands. As a result, consumption of energy can be significantly lowered. The conservative approach of over-provisioning is, thus, avoided.