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Life Cycle Management Assignment Help

 Life Cycle Management Assignment Help

1  Introduction:

One of the fast growing services in the market of data centers is cloud based storage which follows information life cycle management policies. Every large data center has its own information life cycle management policies. Where as in cloud based data centers, there information are stored at several places for better security of data and its fast access by the customers[7]. We will discuss the modern approach of data center towards the hard disk implementation. We are going to focus on IOPS (input output performance of hard disks), disks higher capability in cloud based data centers and issues of bottleneck in I/O performance. The development and research are being done to increasing the performance of modern data center and its input output server and application performances.

In the paper, we are going to investigate on datacenter and its information life cycle management in it, evaluation of hard disks at data center and its performance, I/O issues and its solution. 


2   Hard disks at modern storage:

Cloud based data center uses numbers of hard disks that are arranged and organized into arrays.Array of hard disks are found in the cloud based data centers. The data that comes into the storage units are arranged into the disks in divided form. The spare disks are used for increasing the speed and performance of input and output [4]. The RAID schemes are used to implement such concept. The hard disk controller controls the I/O Caching. The index are stored with the address to the files that increases the I/O performance[7]. The use of Hot-swappable hard disks gives the removing option to hard disks from the array when it’s required. These technology are used in modern storage along with replication mechanisms which are faster and has been going through research. This mechanisms involves snapshottingwhich is storing of virtual memory into hypervisor-readable data that can be used for future.

3 Information life cycle management at data center:


The information has its life cycle at cloud based data centers. These information go through certain cycle and stored into the hard disks. The creation or discover is the first stage where the image, file, document are initiated. The second one is classify where these data are classified according to type and assigned to location for storage. The third stage is Archive/Retire and goes to encrypt[5]. The data before storing are encrypted for number of security measures. The hold stage is storing of data into hard disk and last stage is retrieval and access of data and files that are being uploaded into cloud.

4  I/O performance:

The main concern for the data in cloud and storage center with big data is I/O. It is not easy to access and store the data in faster way. There are number of issues that has been discovered which slows down the I/O performance[7]. It is also dependent on disks. The seek distance is smaller when the platters are smaller which results in higher RPM, providing good Input output performance services.

4.1 Issues in I/O:

The issues that are faced in media system are late access of image, file storage redundancy and bottlenecks on server and hard disks. The bottleneck has impact on server, application and input output performance. When the graph of performance is obtained VS Disk I/O performance curve, there is increase with recent years. There is a big gap between processor and I/O performance that can be seen in the graph below:



There has been continuous need of more and more storage units in data centers over years with increase in users and data[7]. This has increased more till 2016 as the research says.

Number of application uses these data which are industrial based and it is necessary to get data at fast rate. The impact of Bottlenecks is on this as well as it slows down the speed to data access resulting great loose of customer over media industry. The deadlock is another problem that slows down the data access in terms of response time. The data center uses additional measures of virus scan and purge and maintenance of data. 




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