Disaster recovery is a continuous dilemma in cloud platform. Though sudden scaling up and scaling down of user?s resource requests is available, the problem of servers down still persists getting users locked at vendor?s end. This requires such a monitoring agent which will reduce the chances of dis
Prediction and Monitoring Agents using Weblogs for improved Disaster Recovery in Cloud
Disaster recovery is a continuous dilemma in cloud platform. Though sudden scaling up and scaling down of user’s resource requests is available, the problem of servers down still persists getting users locked at vendor’s end. This requires such a monitoring agent which will reduce the chances of disaster occurrence and server downtime. To come up with an efficient approach, previous researchers’ techniques are analyzed and compared regarding prediction and monitoring of outages in cloud computing. A dual functionality Prediction and Monitoring Agent is proposed to intelligently monitor users’ resources requests and to predict coming surges in web traffic using Linear Regression algorithm. This solution will help to predict the user’s future requests’ behavior, to monitor current progress of resources’ usage, server virtualization and to improve overall disaster recovery process in Cloud Computing.
we have implemented the proposed solution as a web based.where the users upload their weblogs. And our website predicts thier upscaling and downscaling requests and also monitor it.That will help to minimize the web traffic.
The purpose of our project is to intelligently monitor users’ resources requests and to predict coming surges in web traffic using Linear Regression algorithm. This solution will help to predict the user’s future requests’ behavior, to monitor current progress of resources’ usage, server virtualization and to improve overall disaster recovery process in Cloud Computing.Because due to sudden increasing and decreasing users'requests the server become down which cause trouble for the users. And take much time to recover.
We write a reaseach paper with a new solution ""Prediction and Monitoring Agents using Weblogs for improved Disaster Recovery in Cloud". in this paper we predict the user's future requests to minimize the web traffic and improve the recovery process.We take weblogs form website and apply Linear Algorithem to predict the requests. And show the actual and predicted requests in form of graph. It's also help to monitor.
Technical details of final deliverable is in form of Research Paper "Prediction and Monitoring Agents using Weblogs for improved Disaster Recovery in Cloud". And also in implemented form.where we acheived users predicted requests.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Laptop | Equipment | 1 | 40000 | 40000 |
| Publication fee | Equipment | 1 | 20000 | 20000 |
| stationary | Miscellaneous | 5 | 2000 | 10000 |
| Total in (Rs) | 70000 |
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