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CLOUD
2010
ACM
14 years 2 months ago
A self-organized, fault-tolerant and scalable replication scheme for cloud storage
Failures of any type are common in current datacenters, partly due to the higher scales of the data stored. As data scales up, its availability becomes more complex, while differe...
Nicolas Bonvin, Thanasis G. Papaioannou, Karl Aber...
ISCA
2010
IEEE
192views Hardware» more  ISCA 2010»
14 years 2 months ago
NoHype: virtualized cloud infrastructure without the virtualization
Cloud computing is a disruptive trend that is changing the way we use computers. The key underlying technology in cloud infrastructures is virtualization – so much so that many ...
Eric Keller, Jakub Szefer, Jennifer Rexford, Ruby ...
PVLDB
2011
13 years 5 hour ago
Albatross: Lightweight Elasticity in Shared Storage Databases for the Cloud using Live Data Migration
Database systems serving cloud platforms must serve large numbers of applications (or tenants). In addition to managing tenants with small data footprints, different schemas, and ...
Sudipto Das, Shoji Nishimura, Divyakant Agrawal, A...
CLOUD
2010
ACM
14 years 2 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
SIGMOD
2012
ACM
288views Database» more  SIGMOD 2012»
11 years 11 months ago
Exploiting MapReduce-based similarity joins
Cloud enabled systems have become a crucial component to efficiently process and analyze massive amounts of data. One of the key data processing and analysis operations is the Sim...
Yasin N. Silva, Jason M. Reed