Visible to the public Performance Analysis of Zero-Trust Multi-Cloud

TitlePerformance Analysis of Zero-Trust Multi-Cloud
Publication TypeConference Paper
Year of Publication2021
AuthorsRodigari, Simone, O'Shea, Donna, McCarthy, Pat, McCarry, Martin, McSweeney, Sean
Conference Name2021 IEEE 14th International Conference on Cloud Computing (CLOUD)
Date PublishedSept. 2021
PublisherIEEE
ISBN Number978-1-6654-0060-2
KeywordsAcoustic 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
AbstractZero 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.
URLhttps://ieeexplore.ieee.org/document/9582229
DOI10.1109/CLOUD53861.2021.00097
Citation Keyrodigari_performance_2021