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Another important new area of computer science is cloud computing, which relies on a computer network, along with networking software, to provide transparent access to remote data and applications. Read about this new model of data and software access and write a paper describing some of the important uses, as well as potential risks, of this new information structure.

Short Answer

Expert verified
Research cloud computing, focus on its uses and risks, organize, then write and revise your paper.

Step by step solution

01

Understand the concept

Cloud computing is a modern computing model that allows users access to data and applications stored on remote servers through the internet. This provides various benefits like scalability, flexibility, and cost-effectiveness.
02

Research beneficial uses

Investigate the primary uses of cloud computing such as data storage, collaborative platforms, and enterprise applications. Consider how industries, like healthcare and finance, utilize cloud services for efficiency, data management, and innovation.
03

Identify potential risks

Examine potential risks associated with cloud computing, including data security concerns, privacy issues, and dependency on internet connectivity. Consider how these risks might affect businesses and individual users.
04

Organize your insights

Structure your paper by creating an outline that includes an introduction, sections on beneficial uses, risks, and a conclusion. Arrange your findings in a coherent manner that effectively communicates the importance and challenges of cloud computing.
05

Write and revise your paper

Draft your paper using the outline. Start with a clear introduction of cloud computing. Detail the beneficial uses and potential risks in separate sections. Conclude with thoughts on balancing uses and risks. Revise for clarity, coherence, and grammar.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Data Security
Data security in cloud computing is crucial as it involves protecting sensitive information stored in remote servers. Cloud service providers must employ robust security measures to ensure data is safe from unauthorized access, breaches, and cyber-attacks.
Key methods to enhance data security include:
  • Encryption: Transforming data into secure formats that require decryption keys for access.
  • Access Control: Implementing strict protocols to verify user identities before granting data access.
  • Regular Audits: Conducting frequent checks to identify vulnerabilities and ensure compliance with security standards.

Companies often face challenges with data security in cloud applications, such as data integrity and loss prevention. It's essential for both providers and users to prioritize security strategies.
Remote Data Access
Remote data access is a fundamental aspect of cloud computing, allowing users to retrieve and manage data from anywhere with an internet connection. This capability boosts productivity and collaboration by enabling seamless data sharing and access without physical storage limitations.
Important features of remote data access include:
  • On-Demand Self-Service: Users can access resources as needed without involving IT staff.
  • Broad Network Access: Data and applications are available over standard networks, including mobile devices.

However, challenges such as network latency and connectivity issues may impact the efficiency of remote access, highlighting the need for reliable internet services.
Enterprise Applications
Enterprise applications in the cloud offer businesses the tools necessary for operations improvement and innovation. These applications include customer relationship management (CRM), enterprise resource planning (ERP), and collaboration software.
Advantages of using cloud-based enterprise applications:
  • Scalability: Easily scale applications according to business needs.
  • Cost Efficiency: Reduce costs associated with maintaining physical IT infrastructure.
  • Enhanced Collaboration: Improve teamwork through shared access to applications and data.

While enterprise applications are beneficial, organizations must consider issues such as data residency, compliance with regulations, and integration challenges with existing systems.
Networking Software
Networking software is the backbone of cloud computing, managing how data is transmitted across networks. It ensures that users can reliably access applications and data from diverse locations.
Key components of networking software include:
  • Virtualization: Allows multiple virtual networks to be created on single physical hardware.
  • Bandwidth Management: Ensures sufficient data flow to minimize downtime and latency.
  • Security Protocols: Implement measures like firewalls and intrusion detection to protect data.

Effective networking software is critical for optimizing performance and maintaining secure data flow in cloud environments. It requires continuous updates and monitoring to adapt to evolving network demands and security threats.

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Most popular questions from this chapter

One way to do multiplication is by repeated addition. For example, \(47 \times 25\) can be evaluated as \(47+47+47+\ldots+47\) (25 times). Sketch out an algorithm for multiplying two positive numbers \(a\) and \(b\) using this technique.

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Under what conditions would the well-known quadratic formula $$ \text { Roots }=\frac{-b \pm \sqrt{b^{2}-4 a c}}{2 a} $$ not be effectively computable? (Assume that you are working with real numbers.)

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A salesperson wants to visit 25 cities while minimizing the total number of miles she must drive. Because she has studied computer science, she decides to design an algorithm to determine the optimal order in which to visit the cities to (1) keep her driving distance to a minimum, and (2) visit each city exactly once. The algorithm that she has devised is the following: The computer first lists all possible ways to visit the 25 cities and then, for each one, determines the total mileage associated with that particular ordering. (Assume that the computer has access to data that gives the distances between all cities.) After determining the total mileage for each possible trip, the computer searches for the ordering with the minimum mileage and prints out the list of cities on that optimal route, that is, the order in which the salesperson should visit her destinations. If a computer could analyze \(10,000,000\) separate paths per second, how long would it take to determine the optimal route for visiting these 25 cities? On the basis of your answer, do you think this is a feasible algorithm? If it is not, can you think of a way to obtain a reasonable solution to this problem?

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