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HPDC
2012
IEEE
11 years 9 months ago
Understanding the effects and implications of compute node related failures in hadoop
Hadoop has become a critical component in today’s cloud environment. Ensuring good performance for Hadoop is paramount for the wide-range of applications built on top of it. In ...
Florin Dinu, T. S. Eugene Ng
SIGMOD
2008
ACM
139views Database» more  SIGMOD 2008»
14 years 7 months ago
Paths to stardom: calibrating the potential of a peer-based data management system
As peer-to-peer (P2P) networks become more familiar to the database community, intense interest has built up in using their scalability and resilience properties to scale database...
Mihai Lupu, Beng Chin Ooi, Y. C. Tay
ICDCN
2010
Springer
14 years 2 months ago
Authenticated Byzantine Generals in Dual Failure Model
Pease et al. introduced the problem of Byzantine Generals (BGP) to study the effects of Byzantine faults in distributed protocols for reliable broadcast. It is well known that BG...
Anuj Gupta, Prasant Gopal, Piyush Bansal, Kannan S...
PODC
2009
ACM
14 years 2 months ago
Fast scalable deterministic consensus for crash failures
We study communication complexity of consensus in synchronous message-passing systems with processes prone to crashes. The goal in the consensus problem is to have all the nonfaul...
Bogdan S. Chlebus, Dariusz R. Kowalski, Michal Str...
SC
2009
ACM
14 years 2 months ago
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
Jianwu Wang, Daniel Crawl, Ilkay Altintas