On fault resilience of OpenStack

Ju, Xiaoen; Soares, Livio; Shin, Kang G.; Ryu, Kyung Dong; Silva, Dilma Da

doi:10.1145/2523616.2523622

Cited by 50 publications

(17 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Table 4 shows these injection points and their major responsibilities for tasks in the scope of our experiments. These injection points are potentially error-prone because of network and I/O, and they reflect general and typical failure patterns that have been well studied [17,19,20]. During the experiment, we enable these injection points one at a time and set every enabled injection point with a 25% chance to trigger an execution problem.…”

Section: Experiments Designmentioning

confidence: 99%

CloudSeer

Joshi

et al. 2016

Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Syste

View full text Add to dashboard Cite

Cloud infrastructures provide a rich set of management tasks that operate computing, storage, and networking resources in the cloud. Monitoring the executions of these tasks is crucial for cloud providers to promptly find and understand problems that compromise cloud availability. However, such monitoring is challenging because there are multiple distributed service components involved in the executions.CloudSeer enables effective workflow monitoring. It takes a lightweight non-intrusive approach that purely works on interleaved logs widely existing in cloud infrastructures. CloudSeer first builds an automaton for the workflow of each management task based on normal executions, and then it checks log messages against a set of automata for workflow divergences in a streaming manner. Divergences found during the checking process indicate potential execution problems, which may or may not be accompanied by error log messages. For each potential problem, CloudSeer outputs necessary context information including the affected task automaton and related log messages hinting where the problem occurs to help further diagnosis. Our experiments on OpenStack, a popular open-source cloud infrastructure, show that CloudSeer's efficiency and problem-detection capability are suitable for online monitoring.

show abstract

Section: Experiments Designmentioning

confidence: 99%

CloudSeer

Joshi

et al. 2016

Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Syste

View full text Add to dashboard Cite

show abstract

“…More recently, fault injection techniques and tools have been developed for cloud computing software. In [27], Ju et al discuss the testing of fault resilience of the OpenStack cloud computing platform. They inject faults targeting communication among OpenStack services, namely service crashes (by killing service processes) and network partitions (by disabling communication between two subnets).…”

Section: Related Workmentioning

confidence: 99%

Dependability evaluation and benchmarking of Network Function Virtualization Infrastructures

Cotroneo¹,

Simone²,

Iannillo³

et al. 2015

Proceedings of the 2015 1st IEEE Conference on Network Softwarization (NetSoft)

View full text Add to dashboard Cite

Network Function Virtualization (NFV) is an emerging solution that aims at improving the flexibility, the efficiency and the manageability of networks, by leveraging virtualization and cloud computing technologies to run network appliances in software. However, the “softwarization” of network functions raises reliability concerns, as they will be exposed to faults in commodity hardware and software components. In this paper, we propose a methodology for the dependability evaluation and benchmarking of NFV Infrastructures (NFVIs), based on fault injection. We discuss the application of the methodology in the context of a virtualized IP Multimedia Subsystem (IMS), and the pitfalls in the design of a reliable NFVI

show abstract

“…A systematic study on fault resilience of OpenStack [15] is reported in [18]. Openstack is one of the most important open cloud computing software, that controls compute, storage and networking resources in a whole data center, managed and provisioned through a web-based dashboard, commandline tools or a RESTful API.…”

Section: B Fault Injection Testing Of Cloud Management Stackmentioning

confidence: 99%

Network Function Virtualization: Challenges and Directions for Reliability Assurance

Cotroneo

Simone

Iannillo

et al. 2014

2014 IEEE International Symposium on Software Reliability Engineering Workshops

View full text Add to dashboard Cite

Network Function Virtualization (NFV) is an emerging solution that aims at improving the flexibility, the efficiency and the manageability of networks, by leveraging virtualization and cloud computing technologies to run network appliances in software. Nevertheless, the "softwarization" of network functions imposes software reliability concerns on future networks, which will be exposed to software issues arising from virtualization technologies. In this paper, we discuss the challenges for reliability in NFVIs, and present an industrial research project on their reliability assurance, which aims at developing novel fault injection technologies and systematic guidelines for this purpose.

show abstract

On fault resilience of OpenStack

Cited by 50 publications

References 13 publications

CloudSeer

CloudSeer

Dependability evaluation and benchmarking of Network Function Virtualization Infrastructures

Network Function Virtualization: Challenges and Directions for Reliability Assurance

Contact Info

Product

Resources

About