In this paper, we describe ExaPeer's approach to dynamically selecting candidate spots for replica servers. The runtime system in ExaPeer detects fluctuations ...
Finding Candidate Spots for Replica Servers based on Demand Fluctuation ... spots on which replica servers should be placed to best meet the demand. Experi ...
In this paper, we describe ExaPeer's approach to dynamically selecting candidate spots for replica servers. The runtime system in ExaPeer detects fluctuations ...
In this paper, we describe ExaPeer's approach to dynamically select candidate spots for replica servers. This approach, called EPSS (ExaPeer Server Selection), ...
that EPSS can detect demand fluctuations and select candidate spots for replica servers appropriately. We also exhibit that candidates selected by EPSS have a.
that EPSS can detect demand fluctuations and select candidate spots for replica servers appropriately. We also exhibit that candidates selected by EPSS have a.
Mar 16, 2024 · In this paper, we focus on replica server placement algorithms proposed for traditional CDNs and emerging paradigm based CDNs. Generally, the ...
Nov 11, 2010 · Kono, “Finding can- didate spots for replica servers based on demand fluctuation,” Proc. IEEE Int'l Conf. Parallel and Distributed Systems ...
We propose a system that can collect estimates of future data demand from different sources (such as historical data or current observed access patterns) and ...
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The goal of leveraging ENRS is to find the best replica node, not only the nearby copy to reduce the download delay but also to keep a low information ...