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Cloud Computing: Technology Challenges and Business Case - Prof. Oho, Exams of Operating Systems

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.

Typology: Exams

2020/2021

Uploaded on 04/15/2021

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CLOUD COMPUTING
K.S.Srinivas
Department of Computer Science and Engineering
TECHNOLOGIES CHALLENGES
AND BUSINESS CASE
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Download Cloud Computing: Technology Challenges and Business Case - Prof. Oho and more Exams Operating Systems in PDF only on Docsity!

K.S.Srinivas

Department of Computer Science and Engineering

TECHNOLOGIES CHALLENGES

AND BUSINESS CASE

Technology Challenges and Business Case

Srinivas K S.

Associate Professor, Department of Computer Science

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 )

  • Security and privacy are the main challenge in cloud computing.
  • These challenges can reduced by using security applications, encrypted file systems, data loss software. Interoperability
  • The application on one platform should be able to incorporate services from the other platform. This is known as Interoperability.
  • It is becoming possible through web services, but to develop such web services is complex. Portability
  • The applications running on one cloud platform can be moved to new cloud platform and it should operate correctly without making any changes in design, coding.
  • The portability is not possible, because each of the cloud providers uses different standard languages for their platform.

Technology Challenges and Business Case Computing Performance

  • High network bandwidth is needed for data intensive applications on cloud, this results in high cost.
  • In cloud computing, low bandwidth does not meet the desired computing performance. Reliability and Availability Most of the businesses are dependent on services provided by third-party, hence it is mandatory for the cloud systems to be reliable and robust. In large-scale environments, hardware failures and software bugs can be expected to occur relatively frequently. The problem is complicated by the fact that failures can trigger other failures, leading to an avalanche of failures that can lead to significant outages.

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

  • Security
  • Compliance
  • Interoperability and Vendor Lock-in

Technology Challenges and Business Case Comparison of public vs private cloud

Technology Challenges and Business Case

Technology Challenges and Business Case

K.S.Srinivas srinivasks@pes.edu

+91 80 2672 1983 Extn 701

THANK YOU