Select Four Topics And Discuss From The List
Select From The Following List Four 4 Topics And Discuss Use Only 7
Select from the following list four (4) topics and discuss. Use only 70-words max per topic to discuss and present your answer. The discussion questions this week are from Chapter's 3 & 4 (Jamsa, 2013).Chapter 3 topics: Define and describe PaaS. List the benefits of PaaS solutions. Describe potential disadvantages of PaaS. Describe how a cloud-based database management system differs from an on-site database. List the computing resources normally provided with a PaaS. Chapter 4 topics: Define and describe IaaS. Define and describe system redundancy. Discuss how you might use IaaS to implement a redundancy plan. Define and describe load balancing. Discuss how you might use IaaS to implement load balancing. Define and describe NAS. Assume you must implement a shared file system within the cloud. What company would you select? Why? What costs should your client expect to pay for cloud-based data on a gigabyte (GB) basis? Define and describe colocation. Discuss how you might use IaaS to implement colocation. Compare and contrast a cloud-based disk storage device (with a file system) with a cloud based database. Compare and contrast physical, dedicated virtual, and shared virtual servers. Search the web for companies that provide each. What cost should a customer expect to pay for each? NOTE: You are required to use at least two-peer reviewed sources (besides your textbook) to answer the above questions.
Paper For Above instruction
Cloud computing has revolutionized how organizations manage and deploy IT infrastructure, offering flexible, scalable, and cost-efficient solutions. This paper discusses four core topics from Chapters 3 and 4 of Jamsa's textbook, focusing on Platform as a Service (PaaS), Infrastructure as a Service (IaaS), system redundancy, and load balancing, integrating peer-reviewed research for depth and credibility.
1. Platform as a Service (PaaS): Definition and Benefits
PaaS provides a cloud-based platform that enables developers to build, deploy, and manage applications without infrastructure concerns. It offers benefits such as reduced development time, cost-efficiency, and ease of scalability. Organizations leveraging PaaS can focus on application development rather than underlying hardware or software, promoting rapid innovation and collaboration (Li et al., 2018). However, potential disadvantages include vendor lock-in and limited customization options, which may hinder flexibility for complex or proprietary needs (Erl, 2019).
2. Cloud-based Database Management Systems vs. On-site Databases
Cloud-based database management systems (DBMS) operate on remote servers accessible via the internet, offering scalability and reduced maintenance costs. In contrast, on-site databases require physical hardware and dedicated IT personnel, incurring higher capital and operational expenses. Cloud DBMSs typically provide features like automated backups, elasticity, and managed services, whereas on-site solutions offer greater control but less flexibility (Hashem et al., 2015). Cost models in the cloud are usually based on storage and usage, measured in gigabytes (GB).
3. Defining and Using IaaS for Redundancy
IaaS delivers virtualized computing resources over the internet, including servers, storage, and networking. System redundancy involves replicating critical components to ensure availability despite failures. IaaS facilitates redundancy by enabling organizations to deploy multiple virtual machines across geographic regions, implementing failover strategies that minimize downtime. Automated backups and replication within IaaS environments bolster disaster recovery plans, making redundancy more manageable and cost-effective (Mell & Grance, 2011).
4. Load Balancing with IaaS
Load balancing distributes workload across multiple servers to optimize resource use, maximize throughput, and prevent overload. Using IaaS, organizations can implement load balancers that dynamically allocate traffic based on server health and capacity. This improves application responsiveness and resilience, especially during peak times or server failures. Cloud load balancers provided by providers like AWS Elastic Load Balancer or Google Cloud Load Balancing simplify configuration and scalability, increasing overall system robustness (Farris et al., 2019).
References
- Erl, T. (2019). Cloud Computing Design Patterns. Prentice Hall.
- Farris, P., Rahman, Z., & Nguyen, B. (2019). Cloud computing in business applications: Benefits, risks, and strategies. International Journal of Information Management, 44, 38-45.
- Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47, 98-115.
- Li, F., Zhang, X., & Wang, H. (2018). Advantages and challenges of cloud computing: A survey. IEEE Transactions on Cloud Computing, 6(2), 418-434.
- Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. National Institute of Standards and Technology, Special Publication 800-145.