by S. Annapureddy et al., NSDI 2005.
Abstract:
Network file systems offer a powerful, transparent inter- face for accessing remote data. Unfortunately, in current network file systems like NFS, clients fetch data from a central file server, inherently limiting the system’s ability to scale to many clients. While recent distributed (peer-to- peer) systems have managed to eliminate this scalability bottleneck, they are often exceedingly complex and pro- vide non-standard models for administration and account- ability. We present Shark, a novel system that retains the best of both worlds—the scalability of distributed systems with the simplicity of central servers.
Shark is a distributed file system designed for large- scale, wide-area deployment, while also providing a drop- in replacement for local-area file systems. Shark intro- duces a novel cooperative-caching mechanism, in which mutually-distrustful clients can exploit each others’ file caches to reduce load on an origin file server. Using a dis- tributed index, Shark clients find nearby copies of data, even when files originate from different servers. Perfor- mance results show that Shark can greatly reduce server load and improve client latency for read-heavy workloads both in the wide and local areas, while still remaining competitive for single clients in the local area. Thus, Shark enables modestly-provisioned file servers to scale to hundreds of read-mostly clients while retaining tradi- tional usability, consistency, security, and accountability.
Link to the full paper:
http://www.cse.buffalo.edu/faculty/tkosar/cse710_spring13/papers/shark.pdf
Monday, February 25, 2013
OceanStore: An Architecture for Global-Scale Persistent Storage
by J. Kubiatowicz et al., ASPLOS 2000.
Abstract:
OceanStore is a utility infrastructure designed to span the globe and provide continuous access to persistent information. Since this infrastructure is comprised of untrusted servers, data is pro- tected through redundancy and cryptographic techniques. To im- prove performance, data is allowed to be cached anywhere, any- time. Additionally, monitoring of usage patterns allows adapta- tion to regional outages and denial of service attacks; monitoring also enhances performance through pro-active movement of data. A prototype implementation is currently under development.
Link to the full paper:
http://www.cse.buffalo.edu/faculty/tkosar/cse710_spring13/papers/oceanstore.pdf
Abstract:
OceanStore is a utility infrastructure designed to span the globe and provide continuous access to persistent information. Since this infrastructure is comprised of untrusted servers, data is pro- tected through redundancy and cryptographic techniques. To im- prove performance, data is allowed to be cached anywhere, any- time. Additionally, monitoring of usage patterns allows adapta- tion to regional outages and denial of service attacks; monitoring also enhances performance through pro-active movement of data. A prototype implementation is currently under development.
Link to the full paper:
http://www.cse.buffalo.edu/faculty/tkosar/cse710_spring13/papers/oceanstore.pdf
Tuesday, April 26, 2011
Tuesday, April 19, 2011
Tuesday, April 12, 2011
Tuesday, April 5, 2011
Tuesday, March 29, 2011
Thursday, March 17, 2011
Tuesday, March 8, 2011
Tuesday, March 1, 2011
Quincy: Fair Scheduling for Distributed Computing Clusters
Link to the paper:
http://www.sigops.org/sosp/sosp09/papers/isard-sosp09.pdfPresenter: Saurabh Baisane
Reviewers: Fahim Patel and Kavyashree Prasad
The Case for RAMClouds: Scalable High-Performance Storage Entirely in DRAM
Link to the paper:
Presenter: Luquan Huang
Reviewers: Fahim Patel and Sughosh Kadkol
Sunday, February 20, 2011
Volley: Automated Data Placement for Geo-Distributed Cloud Services
Link to the paper:
Presenter: Kavyashree Ramakrishna Prasad
Reviewers: Sandeep Venkatesh and Luquan Huang
Reviewers: Sandeep Venkatesh and Luquan Huang
Adaptive Data Placement for Wide-Area Sensing Services
Presenter: Yavuz Selim Yilmaz
Reviewers: Duygu Sarikaya and Prudhvi Avula
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