File System DistributionCloud - Essay Example

File System DistributionCloud computing distributes data over different storage locations such that if one fails, the other takes over the ongoing job automatically. Therefore, this technology offers a stable, distributed environment that allows businesses to store, secure, and access data remotely efficiently. The data files are divided into chunks, which are stored on different machines. In the case of Al Bashayer Meat Company, the machines are in a private cloud. The data is stored in a tree structure, with every node representing a directory. Also, the nodes allow operations on the data. To complete such functions, distributed file systems in cloud computing require robust algorithms.

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For proper file management in the cloud environment, Al Bashayer Meat Company requires the Hadoop Distributed File System (HDFS) software. The software is cost-saving and reliable. According to Borthakur (2019), it runs on low-cost hardware and offers high fault tolerance and throughput. Moreover, HDFS supports applications with massive data sets. HDFS will help to protect Al Bashayer Meat Company’s data in numerous ways. Hardware failures are virtually unavoidable. The Primary goal of HDFS is to identify the faults and recover from them automatically. HDFS is portable across heterogeneous hardware; hence, it can be adopted quickly from one platform to the other within Al Bashayer Meat Company.

Request Management Using Multiple Virtual MachinesMultiple customers using the system simultaneously can result in degraded performance and reduced reliability and availability. If this problem is not controlled, it can cause overall failure. Therefore, the computing resources should be scaled effectively, and a load balancing system used to distribute the running workloads across several computing resources. Load-balancing technology is configured with related algorithms to achieve this solution. For example, if the IT specialists at Al Bashayer Meat Company decide to employ the Weighted Round Robin algorithm, each server is assigned a static numeric weighing. The higher, with more ratings, will be allowed to handle more customer requests. The load balancers continually check the health of the servers and remove them from the pool if damaged. The processes conducted under this method ensure optimal application responsiveness by making every server take the workload it can handle. Apart from the factors mentioned above, the workload distribution architecture allows audit monitoring, runtime workload tracking and data processing, and the hypervisor mechanism.

Requirements to Become a Service Provider in the FutureAl Bashayer Meat Company can readily become a cloud service in the future because it already has a vast market – its clients. However, the organization should ensure that it does not separate its meat delivery services from the provision of cloud computing resources. This will enable Al Bashayer Meat Company to understand its customers and to provide relevant applications. Also, before Al Bashayer Meat Company becomes a valid provider, it should meet the Service-Level Agreement (SLA) requirements. SLAs ensure that the provider maintains a minimum level of service to the customer. The quality metrics in question are availability, reliability, performance, scalability, and resiliency. These factors should be quantifiable and comparable.

Availability refers to the up-time, outages, and service duration, expressed in percentage. The quantity is measured regularly; weekly, monthly, and yearly. To be a valid service provider, Al Bashayer Meat Company should meet a set minimum availability rate, 98 percent, for instance. Reliability refers to the guaranteed rate of successful responses and the minimum time between consecutive failures.