We propose Chaos Echo, a framework for automatically generating configurable testbeds that can be exploited to assess techniques enhancing cloud-native applications with fault resilience mechanisms, like orchestrators recovering failed services, or failure detection and root cause analysis techniques. The testbeds generated by Chaos Echo feature chaos testing out-of-the-box, and they can be configured to vary the topology of target applications or the configuration of their services, like the rates of failures and service interactions
Abstract — In this work, we address problem determination in virtualized clouds. We show that high d...
Cloud Computing is a paradigm that dynamically provides resources as services through the Internet. ...
Trans-cloud applications consist of multiple interacting components deployed across different cloud ...
We propose Chaos Echo, a framework for automatically generating configurable testbeds that can be ex...
This thesis evaluates Chaos Engineering methods for cloud native microservices architecture, creates...
The increasingly popular cloud-computing paradigm provides on-demand access to computing and storage...
We present C2B2, an integrated suite for chaos engineering, benchmarking, and capacity planning of l...
Failures in computer systems can be often tracked down to software anomalies of various kinds. In ma...
When operating large cloud computing infrastructures, ensuring healthiness of physical resources and...
Part 5: Distributed ComputingInternational audienceIn modern cloud software systems, the complexity ...
Software anomalies are recognized as a major problem affecting the performance and availability of m...
IoT (Internet of Things) systems implement event-driven architectures that are deployed on an ever-i...
Nowadays, Cloud Computing is a fundamental paradigm that provides computational resources as a servi...
Cloud computing is the next generation computing. The GUI which controls the cloud computing makes i...
Distributed Stream Processing systems are becoming an increasingly essential part of Big Data proces...
Abstract — In this work, we address problem determination in virtualized clouds. We show that high d...
Cloud Computing is a paradigm that dynamically provides resources as services through the Internet. ...
Trans-cloud applications consist of multiple interacting components deployed across different cloud ...
We propose Chaos Echo, a framework for automatically generating configurable testbeds that can be ex...
This thesis evaluates Chaos Engineering methods for cloud native microservices architecture, creates...
The increasingly popular cloud-computing paradigm provides on-demand access to computing and storage...
We present C2B2, an integrated suite for chaos engineering, benchmarking, and capacity planning of l...
Failures in computer systems can be often tracked down to software anomalies of various kinds. In ma...
When operating large cloud computing infrastructures, ensuring healthiness of physical resources and...
Part 5: Distributed ComputingInternational audienceIn modern cloud software systems, the complexity ...
Software anomalies are recognized as a major problem affecting the performance and availability of m...
IoT (Internet of Things) systems implement event-driven architectures that are deployed on an ever-i...
Nowadays, Cloud Computing is a fundamental paradigm that provides computational resources as a servi...
Cloud computing is the next generation computing. The GUI which controls the cloud computing makes i...
Distributed Stream Processing systems are becoming an increasingly essential part of Big Data proces...
Abstract — In this work, we address problem determination in virtualized clouds. We show that high d...
Cloud Computing is a paradigm that dynamically provides resources as services through the Internet. ...
Trans-cloud applications consist of multiple interacting components deployed across different cloud ...