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Lookup NU author(s): Ayman Noor,
Professor Raj Ranjan
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Microservices have emerged as a new approach for developing and deploying cloud applications that require higher levels of agility, scale, and reliability. To this end, a microservice-based cloud application architecture advocates decomposition of monolithic application components into independent software components called "microservices". As the independent microservices can be developed, deployed, and updated independently of each other, it leads to complex run-time performance monitoring and management challenges. To solve this problem, we propose a generic monitoring framework, Multi-microservices Multi-virtualization Multi-cloud (M3) that monitors the performance of microservices deployed across heterogeneous virtualization platforms in a multi-cloud environment. We validated the efficacy and efficiency of M3 using a Book-Shop application executing across AWS and Azure.
Author(s): Noor A, Jha DN, Mitra K, Jayaraman PP, Souza A, Ranjan R, Dustdar S
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 2019 IEEE 12th Internationa Conference on Cloud Computing (CLOUD)
Year of Conference: 2019
Online publication date: 29/08/2019
Acceptance date: 08/07/2019
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