Disaster recovery is an important aspect to consider when working in distributed systems and cloud environments. How should a system be saved when the physical infrastructure is faced with natural disasters like earthquakes and floods or more technical disasters like power outages and cyber-attacks? This thesis introduces the concept of disaster recovery and the different approaches that can be applied, specifically to a trading platform's matching engine. Experiments with three different kinds of disaster recovery methods are run, namely, Hot, Warm, and Cold, both on a local machine and using AWS cloud. The key performance indicators of these experiments are resource costs like CPU and memory usage, along with the startup time of a site, called Recovery Time Objective (RTO). The results show that the hot method clearly uses more resources during normal operation, followed by the warm site. The cold site which is inactive does not use any resources. Regarding the RTO, the hot site achieves the fastest time followed by the warm site. The cold site is tested with different sizes of states and snapshots, and the results show that a significant improvement of the RTO can gained by using snapshots. The local experiment performs better on all sites compared to running it on the cloud, implying that latency affects the performance substantially. With these findings, businesses should better be able to decide what method would be suitable for their system based on their needs and resources. For systems where maximum uptime is crucial, a hot approach is likely to be most suitable, while for systems where downtime is not as important, a warm or cold approach may be preferred. / <p></p><p></p><p></p>
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:umu-227527 |
| Date | January 2024 |
| Creators | Hedin, Edvin |
| Publisher | Umeå universitet, Institutionen för datavetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | UMNAD ; 1502 |
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