Performance Isolation and Fairness for Multi-Tenant Cloud Storage
By David Shue, Michael J. Freedman, Anees Shaikh. USENIX Symposium on Operating Systems Design and Implementation, 2012
313 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/77933925f35e69fe39297f138cfe491d2a2dba76
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Ion Stoica
- Kay Ousterhout
- Christina Delimitrou
- Yu Gan
- Sebastian Angel
- Matei A. Zaharia
- Patrick Wendell
- Yanqi Zhang
Citations in the corpus
- Network Slicing in 5G: Survey and Challenges (2017, background): “Such issues have been thoroughly investigated in the context of cloud computing and data centers, where many concrete solutions have already been proposed (e.g., [15]).”
- Sparrow: distributed, low latency scheduling (2013, background): “, Pisces [22]) add considerable complexity; as we demonstrate in §7.”
- Seer: Leveraging Big Data to Navigate the Complexity of Performance Debugging in Cloud Microservices (2019, background): “Previous work has shown that the sensitivity applications have to different resources can leak information about their nature and characteristics, making them vulnerable to malicious security attacks [27, 36, 50, 52, 84, 88, 89, 94, 99].”
- End-to-end Performance Isolation Through Virtual Datacenters (2014, background): “These services are often implemented using appliances, which include in-network middleboxes like load balancers and end-devices like networked storage servers.”