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Edge Computing AS a Cost-Effective Approach to Big Data
Edge Computing AS a Cost-Effective Approach to Big Data
Order ID 53003233773 Type Essay Writer Level Masters Style APA Sources/References 4 Perfect Number of Pages to Order 5-10 Pages Description/Paper Instructions
Edge Computing AS a Cost-Effective Approach to Big Data
Edge computing is a distributed computing paradigm that brings computation and data storage closer to the edge of the network, enabling real-time data processing and reducing latency. This approach has become increasingly popular in recent years as more and more organizations look for ways to manage big data more effectively and cost-effectively. In this article, we will explore how edge computing can be a cost-effective approach to managing big data.
Reduced Network Bandwidth Costs
One of the primary benefits of edge computing is the reduction in network bandwidth costs. In traditional cloud computing models, data is transferred from the edge devices to the data center for processing and analysis, and then the results are sent back to the edge devices. This results in high network bandwidth costs, as large amounts of data are transferred back and forth between the edge devices and the data center.
With edge computing, data processing and analysis are performed closer to the edge devices, which reduces the amount of data that needs to be transferred over the network. This reduces network bandwidth costs and makes it more cost-effective to manage big data.
Lower Data Storage Costs
Another benefit of edge computing is the reduction in data storage costs. With traditional cloud computing models, all data is typically stored in a centralized data center, which can be expensive to maintain and scale as the amount of data grows.
In contrast, with edge computing, data is distributed across multiple edge devices, which can be less expensive to maintain and scale. This approach enables organizations to store and process data closer to where it is generated, reducing the need for expensive centralized data centers.
Improved Scalability
Edge computing also offers improved scalability compared to traditional cloud computing models. With traditional cloud computing, scaling can be challenging, as all data processing and analysis must be performed in the data center.
In contrast, with edge computing, data processing and analysis can be performed across multiple edge devices, enabling organizations to scale more easily and cost-effectively. This approach also makes it easier to manage big data in real-time, as data can be processed and analyzed as soon as it is generated.
Increased Efficiency
Edge computing can also increase efficiency by reducing the amount of data that needs to be transferred over the network. With traditional cloud computing, large amounts of data are transferred back and forth between the edge devices and the data center, which can be inefficient and slow.
In contrast, with edge computing, data processing and analysis are performed closer to the edge devices, which reduces the amount of data that needs to be transferred over the network. This can result in faster processing times and more efficient use of network resources.
Enhanced Security
Edge computing can also enhance security by reducing the risk of data breaches and cyber attacks. With traditional cloud computing, all data is typically stored in a centralized data center, which can be vulnerable to cyber attacks.
In contrast, with edge computing, data is distributed across multiple edge devices, which can be more secure. This approach makes it more difficult for cyber criminals to access sensitive data, as it is stored across multiple devices and not in a single location.
Conclusion
Edge computing is a cost-effective approach to managing big data. By distributing computation and data storage closer to the edge of the network, organizations can reduce network bandwidth costs, lower data storage costs, improve scalability, increase efficiency, and enhance security. As more organizations look for ways to manage big data more effectively and cost-effectively, edge computing is likely to become an increasingly popular approach.
Edge Computing AS a Cost-Effective Approach to Big Data
RUBRIC
QUALITY OF RESPONSE NO RESPONSE POOR / UNSATISFACTORY SATISFACTORY GOOD EXCELLENT Content (worth a maximum of 50% of the total points) Zero points: Student failed to submit the final paper. 20 points out of 50: The essay illustrates poor understanding of the relevant material by failing to address or incorrectly addressing the relevant content; failing to identify or inaccurately explaining/defining key concepts/ideas; ignoring or incorrectly explaining key points/claims and the reasoning behind them; and/or incorrectly or inappropriately using terminology; and elements of the response are lacking. 30 points out of 50: The essay illustrates a rudimentary understanding of the relevant material by mentioning but not full explaining the relevant content; identifying some of the key concepts/ideas though failing to fully or accurately explain many of them; using terminology, though sometimes inaccurately or inappropriately; and/or incorporating some key claims/points but failing to explain the reasoning behind them or doing so inaccurately. Elements of the required response may also be lacking. 40 points out of 50: The essay illustrates solid understanding of the relevant material by correctly addressing most of the relevant content; identifying and explaining most of the key concepts/ideas; using correct terminology; explaining the reasoning behind most of the key points/claims; and/or where necessary or useful, substantiating some points with accurate examples. The answer is complete. 50 points: The essay illustrates exemplary understanding of the relevant material by thoroughly and correctly addressing the relevant content; identifying and explaining all of the key concepts/ideas; using correct terminology explaining the reasoning behind key points/claims and substantiating, as necessary/useful, points with several accurate and illuminating examples. No aspects of the required answer are missing. Use of Sources (worth a maximum of 20% of the total points). Zero points: Student failed to include citations and/or references. Or the student failed to submit a final paper. 5 out 20 points: Sources are seldom cited to support statements and/or format of citations are not recognizable as APA 6th Edition format. There are major errors in the formation of the references and citations. And/or there is a major reliance on highly questionable. The Student fails to provide an adequate synthesis of research collected for the paper. 10 out 20 points: References to scholarly sources are occasionally given; many statements seem unsubstantiated. Frequent errors in APA 6th Edition format, leaving the reader confused about the source of the information. There are significant errors of the formation in the references and citations. And/or there is a significant use of highly questionable sources. 15 out 20 points: Credible Scholarly sources are used effectively support claims and are, for the most part, clear and fairly represented. APA 6th Edition is used with only a few minor errors. There are minor errors in reference and/or citations. And/or there is some use of questionable sources. 20 points: Credible scholarly sources are used to give compelling evidence to support claims and are clearly and fairly represented. APA 6th Edition format is used accurately and consistently. The student uses above the maximum required references in the development of the assignment. 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The paper has slight errors within the paper. This can include small errors or omissions with the cover page, abstract, page number, and headers. There could be also slight formatting issues with the document spacing or the font Additionally the paper might slightly exceed or undershoot the specific number of required written pages for the assignment. 10 points: Student provides a high-caliber, formatted paper. This includes an APA 6th edition cover page, abstract, page number, headers and is double spaced in 12’ Times Roman Font. Additionally, the paper conforms to the specific number of required written pages and neither goes over or under the specified length of the paper.
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