Characterizing cloud computing hardware reliability
By Kashi Venkatesh Vishwanath, N. Nagappan. ACM Symposium on Cloud Computing, 2010
563 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/045a50ec31973fee15ff967f18e016fae77fd1f3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Raouf Boutaba
- Navendu Jain
- N. Nagappan
- Filip De Turck
- David Wentzlaff
- Rashid Mijumbi
- Cheng Yi
- Mohammad Shahrad
In Information Systems
- Raouf Boutaba
- Navendu Jain
- N. Nagappan
- Filip De Turck
- Romain Robbes
- Michele Lanza
- Marco D'Ambros
- Sunghun Kim
Citations in the corpus
- Maglev: A Fast and Reliable Software Network Load Balancer (2016, background): “It has sustained the rapid global growth of Google services, and it also provides network load balancing for Google Cloud Platform.”
- Availability Knob: Flexible User-Defined Availability in the Cloud (2016, background): “For instance, Microsoft reports that 9% of machines have been replaced in a 14 month period [65], which translates into AFR = 8% and MT BF > 12yrs.”
- Network Function Virtualization: State-of-the-Art and Research Challenges (2015, background): “In fact, many IT applications already run on commodity servers in the cloud [40].”
- Understanding network failures in data centers: measurement, analysis, and implications (2011, background): “Note that logged events do not necessarily result in a service outage because of failure-mitigation techniques such as network redundancy [1] and replication of compute and data [11,27], typically deployed in data centers.”