Implementing fault-tolerant services using the state machine approach: a tutorial
ACM Computing Surveys (CSUR)
Hypervisor-based fault tolerance
ACM Transactions on Computer Systems (TOCS) - Special issue on operating system principles
Field testing for cosmic ray soft errors in semiconductor memories
IBM Journal of Research and Development - Special issue: terrestrial cosmic rays and soft errors
Using Memory Errors to Attack a Virtual Machine
SP '03 Proceedings of the 2003 IEEE Symposium on Security and Privacy
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Susceptibility of Commodity Systems and Software to Memory Soft Errors
IEEE Transactions on Computers
Soft Errors in Advanced Computer Systems
IEEE Design & Test
A large-scale study of failures in high-performance computing systems
DSN '06 Proceedings of the International Conference on Dependable Systems and Networks
Assessment of the Effect of Memory Page Retirement on System RAS Against Hardware Faults
DSN '06 Proceedings of the International Conference on Dependable Systems and Networks
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Disk failures in the real world: what does an MTTF of 1,000,000 hours mean to you?
FAST '07 Proceedings of the 5th USENIX conference on File and Storage Technologies
PAI: A Lightweight Mechanism for Single-Node Memory Recovery in DSM Servers
PRDC '07 Proceedings of the 13th Pacific Rim International Symposium on Dependable Computing
A memory soft error measurement on production systems
ATC'07 2007 USENIX Annual Technical Conference on Proceedings of the USENIX Annual Technical Conference
Remus: high availability via asynchronous virtual machine replication
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
Implementing high availability memory with a duplication cache
Proceedings of the 41st annual IEEE/ACM International Symposium on Microarchitecture
DRAM errors in the wild: a large-scale field study
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems
Hey, you, get off of my cloud: exploring information leakage in third-party compute clouds
Proceedings of the 16th ACM conference on Computer and communications security
A realistic evaluation of memory hardware errors and software system susceptibility
USENIXATC'10 Proceedings of the 2010 USENIX conference on USENIX annual technical conference
kMemvisor: flexible system wide memory mirroring in virtual environments
Proceedings of the 22nd international symposium on High-performance parallel and distributed computing
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Memory is the most frequently failing component that can cause system crash, which significantly affects the emerging data centers that are based on system virtualization (e.g., clouds). Such environment differs from previously studied large systems and thus poses renewed challenge to the reliability, availability, and serviceability (RAS) of today's production site that hosts a large population of commodity servers. The paper advocates addressing this problem by exploiting memory error characteristics and employing a cost-effective self-healing mechanism. Specifically, we propose a memory error prediction and prevention model, which takes as input error events and system utilization, assesses memory error risk, and manipulates memory mappings accordingly (by page/DIMM replacement or VM live migration) to avoid potential damage and loss.