Informatics Publishing Limited

A. Thiruneelakandan ¹, Crisping Jones ¹, S. Preethi ², M. Mariappan ¹

Affiliations
1 Department of Computer Science and Engineering, Dr B R Ambedkar Institute of Technology, Port Blair, IN
2 Department of Computer Science and Engineering, Dr B R Ambedkar Institute of Technology, Port Blair, IN

Abstract

Technically, Cloud is a network of Servers, offering computing services. Cloud Computing is widely defined as an Internet based Infrastructure/Platform/Software Services that are provisioned to the end users on pay per use basis. In the present scenario, continuous access to information is a must for the smooth functioning of business operations. Proper load balancing and configuration of multiple paths increases the data availability, assists in reducing unnecessary redundant replicas thereby resource consumption, implements failover, and enables scalability. This paper discusses some of the existing fail-over methodologies in cloud computing environment and presents the cost-effective method of private cloud services through efficient fail-over Manager. We performed an experiment on Private Cloud model. Our experiment consists of an application deployed in a Virtual Machine (VM) of a Server A, which is clustered with the Virtual Machine of Server B. The health of both the Servers is monitored by a Fail-over Manager module. The Fail-over Manager monitors the parameters like Availability, Reach-ability, CPU Utilization, Memory Utilization, Packet Errors and Latency and accordingly notifies the Administrator, through a Short Service Message (SMS), whose mobile number is already registered with the manager. The Batch file programmed to make a backup of the hosted application, will be triggered by the Task Scheduler. This helps the Administrator to restore the application at later point of time. This helps us to achieve efficient resource utilization and avoids un-welcome call for the Server Administrators by ensuring a fair allocation and efficient fail-over management of every computing resource.

Keywords

Fail-Over, Load Balancing, Private Cloud, SLA, Virtual Machine, XasaS.

Full Text

     

Harshad P. Thakur ¹, M. Mariappan ¹, R. M. Jotkar ², S. B. Chavan ²

Affiliations
1 School of Health Systems Studies, Tata Institute of Social Sciences, Mumbai, IN
2 Directorate of Health Services, Government of Maharashtra, IN

Abstract

The user fee has been recommended as a financing mechanism to achieve the goals of increasing efficiency, equity, quality, sustainability and effectiveness in the health sector. The user fee was introduced in Public hospitals in Maharashtra State in India during 1988. The purpose of the study was to determine whether the poor are really subsidized and reasons for the denial and leakage of subsidy. The study was carried out in Secondary Health System. The sample size was 1377. The denial of subsidy is found in 55.3 per cent cases, whereas leakage of subsidy is in 27.7 per cent cases. The user fee mechanisms were not visibly available and accessible to users and were quite inadequate in tackling the grievances. Denial of subsidy to poor is more :"erious than the leakage of subsidy to rich. Targeting efficiency can be improved through better management of hospitals and orientation of staff for active screening of poor patients.

Full Text

     

Harshad P. Thakur ¹, Soumitra Ghosh ¹, M. Mariappan ¹, M. Bhatia ²

Affiliations
1 Centre for Health Policy, Planning and Management, School of Health Systems Studies, Tata Institute of Social Sciences, Deonar, Mumbai 400088, IN
2 Department of Social Policy, London School of Economics, London, WC2A2AE, GB

Abstract

The study aims to document, review and analyse the usefulness of user fees for healthcare, with emphasis on its implementation in different states of India. Four states were selected where user fees are in force for the last three years prior to July 2005. Both qualitative and quantitative methods were used to collect the data. The denial for subsidy is quite high for the poor patients. The awareness about exemption policy among users is quite low. The management structure is not uniform across the selected states. It is important to ensure that there is coordination between the state, district and hospital level societies. The exemption policy should take care of the interests of the poor patients.

Full Text