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» Troubleshooting Distributed Systems via Data Mining
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ICISS
2009
Springer
14 years 4 months ago
Making Peer-Assisted Content Distribution Robust to Collusion Using Bandwidth Puzzles
Many peer-assisted content-distribution systems reward a peer based on the amount of data that this peer serves to others. However, validating that a peer did so is, to our knowled...
Michael K. Reiter, Vyas Sekar, Chad Spensky, Zheng...
ICPADS
2005
IEEE
14 years 3 months ago
A Hierarchical Approach for Energy-Aware Distributed Embedded Intelligent Video Surveillance
Intelligent video surveillance (IVS) offers a large spectrum of different applications that have strict requirements on quality of service (QoS) and energy-efficiency. Recent emb...
Arnold Maier, Bernhard Rinner, Helmut Schwabach
KDD
2009
ACM
257views Data Mining» more  KDD 2009»
14 years 4 months ago
Argo: intelligent advertising by mining a user's interest from his photo collections
In this paper, we introduce a system named Argo which provides intelligent advertising made possible from users’ photo collections. Based on the intuition that user-generated ph...
Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying...
IPPS
2008
IEEE
14 years 4 months ago
Data throttling for data-intensive workflows
— Existing workflow systems attempt to achieve high performance by intelligently scheduling tasks on resources, sometimes even attempting to move the largest data files on the hi...
Sang-Min Park, Marty Humphrey
JSAC
2006
104views more  JSAC 2006»
13 years 9 months ago
Queue Proportional Scheduling via Geometric Programming in Fading Broadcast Channels
For fading broadcast channels (BC), a throughput optimal scheduling policy called queue proportional scheduling (QPS) is presented via geometric programming (GP). QPS finds a data ...
Kibeom Seong, Ravi Narasimhan, John M. Cioffi