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Preethi, S.
- An Approach Towards Failover & Back-Up Recovery Services for Cloud Computing Environment
Authors
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
Source
Networking and Communication Engineering, Vol 7, No 9 (2015), Pagination: 396-401Abstract
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.
- VLSI Implementation of Brain Tumor Segmentation Using Fuzzy C-Mean Clustering
Authors
1 Department of ECE, KLN College of Information Technology, IN
Source
Networking and Communication Engineering, Vol 9, No 3 (2017), Pagination: 56-58Abstract
Image segmentation is a technique and process which divide the image into different feature of region and extract out the interested target. Segmentation allows extracting objects in images. Medical experts spend a large amount of time in segmenting tumor volume in medical images. The task of image segmentation is actually the partition of an image into a number of non overlapping regions, each with distinct properties. The tumor analysis is done by the use of image segmentation. Tumor of brain will be segmented by use of various methods. The method as fuzzy c mean which is to be used to segment the brain image is proposed. And then the algorithm based on the method of compensation factor method which is to be usually segmenting the brain tumor is implemented. This segmentation process could be effective in the bio-medical applications. For this implementation the algorithm is done in hardware as FPGA. This will be useful for the real time implementation of this process. The hardware as SPARTAN is used and designed by using the software as Xilinx Platform Studio.