Reply1Info.docx

The student must then post a reply of at least 400 words by 11:59 p.m. (ET) on Sunday of the assigned Module: Each reply must incorporate at least 1 scholarly citation in APA format. Any sources cited must have been published within the last five years.

The reply can be from any one of the paragraphs listed below but 400 words with 1 scholarly citation

Zelalem Abebe
Business Information
The adoption of computer-based systems is of significant importance for the majority of global businesses. After all, they offer tremendous advantages in terms of data collection and, more importantly, processing. Modern tools allow for the use of technologies such as Big Data, which enable the mining of important information from highly complicated and obscure cases. In this regard, the presented paper will discuss four major issues. Firstly, it will analyze why a business would want to erect a distributed database. Secondly, it will talk about the acceptable system response times for interactive applications. Thirdly, it will analyze the key characteristics of the centralized data processing facilities. Lastly, it will discuss the major types of equipment and communication redundancies found in today’s data centers. In the end, the results of the analysis in the paper indicate that computer systems must be promoted among businesses because, despite their high energy consumption and complexity of management, they provide a chance to process tremendous volumes of crucial business-related information.
Distributed Database: Why a Company Would Want One?
There are many reasons for modern businesses to seek distributed databases for their everyday operations. Academic literature regarding this topic is relatively affluent and diverse. The first significant reason for adopting the distributed databases is delineated by Feng Lu and his colleagues (2019). They talk about the ability of the distributed databases to host advanced types of caching systems within them. While caching in traditional (and, regrettably, many distributed systems that were not upgraded) databases appears to be fixed and non-flexible, it can become adaptive and, more importantly, multi-level in the distributed systems. This approach, ultimately, allows to significantly reduce the computing redundancies of the modern data centers by giving better resource availability for the average information processing frameworks. A distributed database is necessary for businesses because it allows them to utilize resources more efficiently than traditional networks.
Another important reason for adopting the distributed databases undoubtedly has to do with their ability to better engage in real-time processing. As Valduriez and his colleagues (2021) note in their paper on the topic, distributed databases allow installing NewSQL database management software. It enables engagement in real-time data processing, significantly enhancing the ability of the databases to, for example, respond to essential user queries of various kinds. This result is achieved by tearing down the artificial barriers between NoSQL and SQL databases. Lastly, the presented approaches also allow for advanced techniques for data collection, such as the adaptive strategy described by Gao and his colleagues (2020). In many ways, the positive results in the system are established by its ability to sustain frameworks similar to the Elastic Structure Storing. Ultimately, there are many reasons for a company to adopt a distributed database. The technology allows implementing essential innovations that can significantly reduce many types of data processing redundancies that plague traditional frameworks. Generally, distributed databases often appear to be the most cost-efficient solutions for implementing Big Data approaches in a business.
An Acceptable System Response Time for Interactive Applications
One of the key reasons for adopting the distributed databases has to do with increasing the response times for the average interactive applications of various kinds; consequently, this paper will discuss what response times are considered adequate in the current conditions. Concerning this factor, no definite responses exist in the scientific literature as modern interactive applications are developing rapidly. Still, it is possible to approximate the average acceptable system response time for interactive applications. Firstly, as Yu and their team (2020) note in the research on user preferences regarding system response times, most modern users find applications that feature at least some form of delay to be highly substandard. Men are known for being especially critical of applications that they deem as slow. Ultimately, this data allows claiming that the acceptable response times for modern interactive applications must create a feeling of instantaneous reaction.
Consequently, the average response must range from several milliseconds to one second at best. More significant wait times are likely to be acceptable for users if they can be convinced that some major processing is necessary (for calculations of various kinds). Generally, modern users want their interactive applications to be as responsive as possible.
In many ways, the presented approach is not merely a wish. Modern technological levels allow for the creation of instant response systems for interactive applications. For instance, Nunes and his team (2017) note in their paper that modern sensors that, for example, are used in mobile phones are capable of short response times and, more importantly, vastly complex activities. In the presence of such technology, it would be a waste to make response times larger than one second. On the current technological level, every type of interaction with modern technology must be as fast as humanely possible.
Consequently, an acceptable response time for interactive applications also appears to be between several milliseconds and one second at best. In this regard, both the users and the technological capacities of modern technology agree. It is crucial for system response times in interactive applications to be of such nature that most activities would seem genuinely flawless and devoid of pauses.
Characteristics of the Centralized Data Processing Facilities
To ensure fast response times, it is essential to adopt distributed systems that, at the same time, rely on a significant degree of centralization. Hence, the presented section will concentrate on the centralized data processing facilities of various kinds. In this regard, several major characteristics are highlighted in the analyzed scientific literature on the topic. Firstly, centralized data processing facilities involve concentric computing models (CCM), consisting of vast arrays of the sensing system, gateway processors, and central processors of various kinds (Rehman et al., 2018). Ultimately, the modern centralized data processing systems must feature a vast concentration of computing resources. More importantly, they must be scalable: hence, it is essential to make the systems in question concentric. By doing so, the creators of the analyzed system can ensure that it is easy to expand the framework through the addition of novel layers of computing devices. In the end, the presented approach leads to another sub-characteristic: centralized data processing facilities can analyze tremendous volumes of data, being the core frameworks of modern Big Data research of various kinds.
Secondly, centralized data processing facilities are also known for requiring tremendous investments into energy efficiency. As Wang and his colleagues (2019) note, modern data centers require significant investments into cooling. This problem, in the end, stems from the staggering volumes of energy needed for analyzing information in the average data processing centers. In this regard, the available information clearly shows that the creation of energy-efficient Big Data networks necessitates major resource expenditures (Al-Salim et al., 2018). Consequently, modern centralized data processing centers should be seen as significant consumers of electrical energy by most companies that seek to adopt them. Regrettably, energy inefficiency that stems from the equipment redundancies of various kinds represents one of the critical problems for centralized data processing facilities.
Major Types of Equipment and Communication Redundancies Found in Today’s Data Centers
The last issue to consider in the analyzed paper has to do with the so-called data redundancies common in modern data centers of various kinds. Firstly, it is crucial to discuss the equipment redundancies that exist in modern facilities. Regarding this factor, the information from the research literature points to two potential problems. The first issue has to do with the redundancy of the cooling systems: as existing research indicates, many firms strive to install complex cooling (Wang et al., 2019). The problem with this approach is that not all data centers require complicated cooling: as a result, it turns out to be redundant (albeit, the approach is not harmful) in many cases. The second problem has to do with the concentric nature of computer systems: hierarchical and layered methods inevitably lead to system duplication problems (Araujo et al., 2017). As a result, processor units, for instance, often are forced to perform similar types of works, which can be distributed more efficiently.
Major redundancy problems also exist on the communication-related side. The first major type of communication redundancies has to do with the duplicating nature of the information. In many cases, clusters of data communicated in various types of networks appear to be utterly similar. Only data classification and grouping can ensure the efficient removal of the presented issue (Xu et al., 2020). The second problem of communication redundancies has to do with the general processing times spent on the information. Often, communication processes in businesses are not optimized via systems such as NewSQL. Consequently, it is crucial to ensure that processing times are also optimized to remove redundancies of various kinds.
Conclusions
To summarize, the presented information clearly shows that modern businesses need to adopt some of the most novel technologies to advance their interests. In this regard, one of the critical goals undoubtedly involves the presence of capability for instantaneous interactive applications of various kinds. To achieve it and create potent possibilities for expanding a business and its ability to establish positive relationships with the customers, it is essential to invest in fully centralized data processing, distributed databases, and the reduction of a varying number of redundancies regarding equipment and communication. Only this approach can guarantee that any company’s software (for instance, one that produces social media networks) can satisfy the needs of the users. Businesses that do not accept the critical tenets of progress in the modern world are highly likely to fail. Databases and centralized processing facilities undoubtedly represent powerful facets of the presented process.