HPDC
2006
IEEE
14 years 5 months ago
2006
IEEE
Through massive parallelism, distributed systems enable the multiplication of productivity. Unfortunately, increasing the scale of available machines to users will also multiply d...
HPDC
2006
IEEE
14 years 5 months ago
2006
IEEE
As the size of distributed systems keeps growing, the peer to peer communication paradigm has been identified as the key to scalability. Peer to peer overlay networks are charact...
ECBS
2006
IEEE
14 years 5 months ago
2006
IEEE
Complex and distributed systems are more and more common. Hardware is going from strength to strength and is embedded in high performance peer-to-peer networks mostly. The task of...
OOPSLA
2007
Springer
14 years 5 months ago
2007
Springer
Programming distributed data-intensive web and mobile applications is gratuitously hard. As the world is moving more and more towards the software as services model, we have to co...
LADC
2007
Springer
14 years 5 months ago
2007
Springer
A distributed dynamic system is a fully distributed system subject to a continual arrival/departure of the entities defining the system. Another characterizing dimension of these ...
GPC
2007
Springer
14 years 5 months ago
2007
Springer
Sharing huge databases in distributed systems is inherently difficult. As the amount of stored data increases, data localization techniques become no longer sufficient. A more ef...
BIOWIRE
2007
Springer
14 years 5 months ago
2007
Springer
Epidemics-inspired techniques have received huge attention in recent years from the distributed systems and networking communities. These algorithms and protocols rely on probabili...
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IPPS
2007
IEEE
14 years 5 months ago
2007
IEEE
Storing data in distributed systems aims to offer higher bandwidth and scalability than storing locally. But, a couple of disadvantageous issues must be taken into account such as...
ICDCS
2007
IEEE
14 years 5 months ago
2007
IEEE
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...