Software Reliability Engineered Testing
Software Reliability Engineered Testing
Are We Testing for True Reliability?
IEEE Software
Networked Windows NT System Field Failure Data Analysis
PRDC '99 Proceedings of the 1999 Pacific Rim International Symposium on Dependable Computing
Software Reliability Growth Models: Assumptions vs. Reality
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
A large-scale study of failures in high-performance computing systems
DSN '06 Proceedings of the International Conference on Dependable Systems and Networks
Using queue structures to improve job reliability
Proceedings of the 16th international symposium on High performance distributed computing
Characterizing cloud computing hardware reliability
Proceedings of the 1st ACM symposium on Cloud computing
Reducing Costs of Spot Instances via Checkpointing in the Amazon Elastic Compute Cloud
CLOUD '10 Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing
Resource Allocation and SLA Determination for Large Data Processing Services over Cloud
SCC '10 Proceedings of the 2010 IEEE International Conference on Services Computing
Decision Model for Cloud Computing under SLA Constraints
MASCOTS '10 Proceedings of the 2010 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
| Hi-index | 0.00 |
With virtualization technology, Cloud computing utilizes resources more efficiently. A physical server can deploy many virtual machines and operating systems. However, with the increase in software and hardware components, more failures are likely to occur in the system. Hence, one should understand failure behavior in the Cloud environment in order to better utilize the cloud resources. In this work, we propose a reliability model and estimate the mean time to failure and failure rate based on a system of k nodes and s virtual machines under four scenarios. Results show that if the failure of the hardware and/or the software in the system exhibits a degree of dependency, the system becomes less reliable, which means that the failure rate of the system increases and the mean time to failure decreases. Additionally, an increase in the number of nodes decreases the reliability of the system.