SeaGull: Intelligent cloud bursting for enterprise applications
Tian Guo, Upendra Sharma, et al.
USENIX ATC 2012
Internet flash crowds (also known as hot spots) are a phenomenon that result from a sudden, unpredicted increase in an on-line object's popularity. Currently, there is no efficient means within the Internet to scalably deliver web objects under hot spot conditions to all clients that desire the object. We present peer-to-peer (P2P) Randomized Overlays to Obviate Flash-crowd Symptoms (PROOFS: a simple, lightweight, P2P approach that uses randomized overlay construction and randomized, scoped searches to efficiently locate and deliver objects under heavy demand to all users that desire them. We evaluate PROOFS' robustness in environments in which clients join and leave the P2P network, as well as in environments in which clients are not always fully cooperative. Through a mix of simulation and prototype experimentation in the Internet, we show that randomized approaches like PROOFS should effectively relieve flash crowd symptoms in dynamic, limited-participation environments.
Tian Guo, Upendra Sharma, et al.
USENIX ATC 2012
Abhijit Bose, Aliza Heching, et al.
SCC 2008
Sanghwan Lee, Sambit Sahu
ICUFN 2010
Kang-Won Lee, Khalil Amiri, et al.
SIGMETRICS 2002