Informatics Publishing Limited

Kashmira Jagtap ¹, P. A. Jadhav ¹, S. D. Joshi ²

Affiliations
1 Department of Information Technology, BVUCOE, Pune, Maharashtra, IN
2 Department of Computer Engineering, BVUCOE, Pune, Maharashtra, IN

Abstract

Cloud computing is attraction-gaining technology now days because of its great functioning. Day by day, there is tremendous increase in utilization of cloud functions by various users’ raises issues of workload management.  Work Load can be a many types like user’s requests, processors work, and size of memory. Therefore, to manage such load to maintain stable system is necessary.  Due to its feature cloud achieve scalability but at the same time not able to maintain stability because of coming multiple requests in few seconds. Due to such scenarios nowadays, workload management for cloud is popular among researchers. In cloud request is not arrived in same pattern also, resources are not available in one place so to manage workload properly is quite problematic in cloud. So good workload management is necessary to maintain stability and improve user’s satisfaction. In this paper, we focused on workload management concept. Here we are implementing a work load management architecture for cloud based on throttled method to solve issue of load management in cloud.

Keywords

Workload Management, Cloud Computing, Throttled Workload Management, Job Scheduling, Clustering.

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P. A. Jadhav ¹, C. S. Raut ¹, J. P. Bidada ¹, B. B. Buwa ¹, P. N. Dhabale ¹, S. C. Dhawale ¹

Affiliations
1 Government College of Pharmacy, Vidyanagar, Tal. Karad-415124, Dist. Satara, Maharashtra, IN

Abstract

A new, simple, rapid and novel reproducible UV-spectrophotometer estimation method has been developed for estimation of griseofulvin in marketed formulation. The proposed method was successfully applied for the estimation of griseofulvin in commercial pharmaceutical preparation with Absorbance maxima at 263.5 nm. A Shimadzu 1700 UV-Visible spectrophotometer with 1 cm matched quartz cells and acetone:ethanol:0.1N HCl (1:1:8) solvents were employed in the method. Developed methods obeyed the Beer’s law in the concentration range of 0.5-3.5 μg/ml and methods were validated statistically. The SD and Percentage recovery of the drug for the proposed method are given in method indicating no interference of the tablet excipients. The results of the tablet analysis were validated with respect to accuracy (recovery), linearity, limit of detection and limit of quantitation were found to be satisfactory.

Keywords

Absorbance Maxima, Area Under Curve (AUC), Griseofulvin, UV Spectrophotometer.

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