Abstract

This paper investigates large-scale distributed system design. It looks at features, main design considerations and provides the Netflix API, Cassandra and Oracle as examples of such systems. Moreover, the paper investigates the challenges of designing, developing, deploying, and maintaining such systems, in regard to the features presented. Finally, the paper discusses aspects of available solutions and current practices to challenges that large-scale distributed systems face.

Highlights

  • Introduction to Distributed SystemsComputing has changed significantly since the 1970s

  • This paper investigates large-scale distributed system design

  • Main design considerations and provides the Netflix API, Cassandra and Oracle as examples of such systems

Read more

Summary

Introduction to Distributed Systems

Computing has changed significantly since the 1970s. The introduction of computer networks has led to the development of distributed systems. This led companies to develop their own distributed systems architectures and practices that scaled most efficiently for their business needs and quickly increasing usage load. One such example is Netflix, the 21st most accessed online platform in the world [4]. It became possible to relocate production units to decentralized zones and develop seamless large-scale distributed systems

Main Design Considerations and Motives of Use
Features of Large-Scale Distributed Systems
Concurrency
Challenges and Current Practices to Achieving Concurrency
Fault Tolerance
Challenges and Current Practices to Achieving Fault Tolerance
Recovering from Failures
Findings
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.