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The technology challenges and business cases for cloud computing, including elasticity, reliability, compliance, scalability, security and privacy, interoperability, portability, computing performance, and availability. The document also covers techniques for failure detection and application recovery.
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Technology Challenges and Business Case Elasticity How to scale up and down quickly? Resource allocation and workload placement algorithms are required. Performance Unpredictability How do we ensure reliability especially when resources are shared Reliability
Technology Challenges and Business Case Compliance Is cloud provider complying with privacy rules? Health care industry requires health care compliance administrator Sarbannes Oxley 2002 Framed in 2002 after Enron, WorldCom financial accounting scandals Example: Audit controls on transactions India SEBI Clause 49 (Corporate Governance Practices) Multi tenancy Sharing of same database by multiple users Share without compromising security
Technology Challenges and Business Case Security and Privacy (https://www.tutorialride.com/cloud-computing/challenges-in-cloud- computing.htm )
Technology Challenges and Business Case Computing Performance
Technology Challenges and Business Case Failure Detection ( T2) Failure Monitoring Heart Beats Probes https://medium.com/@taka.atsushi/coursera-cloud- computing-concepts-part- 1 - 538df331ff https://www.researchgate.net/figure/Abstract-Architecture- View-monitoring-metrics-from-the-Cloud-element-they-reside- on-and_fig1_
Technology Challenges and Business Case There are two techniques of failure monitoring [T2]. The first method is heartbeats , where each application instance periodically sends a signal (called a heartbeat) to a monitoring service in the cloud. If the monitoring service does not receive a specified number of consecutive heartbeats, it may declare the application instance as failed. The second is the method of probes. Here, the monitoring service periodically sends a probe, which is a lightweight service request, to the application instance. If the instance does not respond to a specified number of probes, it may be considered failed. There is a trade-off between speed and accuracy of detecting failures. To detect failures rapidly, it may be desirable to set a low value for the number of missed heartbeats or probes. Redirection: After identifying failed instances, it is necessary to avoid routing new requests to these instances. A common mechanism used for this in HTTP-based protocols is HTTP-redirection.
Technology Challenges and Business Case Potential benefits of Cloud Computing
Technology Challenges and Business Case Inhibitors to adopting cloud computing
Technology Challenges and Business Case Comparison of public vs private cloud
Technology Challenges and Business Case
Technology Challenges and Business Case
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