| Title | Performance Analysis of Zero-Trust Multi-Cloud |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Rodigari, Simone, O'Shea, Donna, McCarthy, Pat, McCarry, Martin, McSweeney, Sean |
| Conference Name | 2021 IEEE 14th International Conference on Cloud Computing (CLOUD) |
| Date Published | Sept. 2021 |
| Publisher | IEEE |
| ISBN Number | 978-1-6654-0060-2 |
| Keywords | Acoustic Fingerprints, cloud computing, codes, Collaboration, Conferences, cryptography, Human Behavior, human factors, Istio, Kubernetes, multi cloud, Performance analysis, policy-based governance, pubcrawl, resilience, Resiliency, Scalability, Service Mesh, sidecar proxy, Testing, zero trust, zero trust networking |
| Abstract | Zero Trust security model permits to secure cloud native applications while encrypting all network communication, authenticating, and authorizing every request. The service mesh can enable Zero Trust using a side-car proxy without changes to the application code. To the best of our knowledge, no previous work has provided a performance analysis of Zero Trust in a multi-cloud environment. This paper proposes a multi-cloud framework and a testing workflow to analyse performance of the data plane under load and the impact on the control plane, when Zero Trust is enabled. The results of preliminary tests show that Istio has reduced latency variability in responding to sequential HTTP requests. Results also reveal that the overall CPU and memory usage can increase based on service mesh configuration and the cloud environment. |
| URL | https://ieeexplore.ieee.org/document/9582229 |
| DOI | 10.1109/CLOUD53861.2021.00097 |
| Citation Key | rodigari_performance_2021 |
Performance Analysis of Zero-Trust Multi-Cloud