Globally distributed content delivery

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Globally Distributed Content Delivery

Akamai's distributed content delivery system fights service bottlenecks and shutdowns by delivering content from the Internet's edge. A s Web sites become popular, they're increasingly vulnerable to the flash crowd problem, in which request load overwhelms some aspect of the site's infrastructure, such as the front-end Web server, network equipment, or bandwidth, or (in more advanced sites) the...

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Globally distributed content delivery - Internet Computing, IEEE

As Web sites become popular, they’re increasingly vulnerable to the flash crowd problem, in which request load overwhelms some aspect of the site’s infrastructure, such as the frontend Web server, network equipment, or bandwidth, or (in more advanced sites) the back-end transaction-processing infrastructure. The resulting overload can crash a site or cause unusually high response times — both o...

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Csc2231 – Internet Systems and Services Paper Review #5 – Globally Distributed Content Delivery Name

There is nothing particularly groundbreaking about the fundamental concept behind Akamai. On the surface, the Akamai solution resembles so many others: a single Internet services site suffers problems under load, so distribute the load among multiple sites. Akamai, in particular, distributes its surrogate servers at the Internet’s edge following the same motivations behind P2P systems in genera...

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Distributed Server Allocation for Content Delivery Networks

We propose a dynamic formulation of file-sharing networks in terms of an average cost Markov decision process with constraints. By analyzing a Whittle-like relaxation thereof, we propose an index policy in the spirit of Whittle and compare it by simulations with other natural heuristics.

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Adaptive Replication in Distributed Content Delivery Networks

We address the problem of content replication in large distributed content delivery networks, composed of a data center assisted by many small servers with limited capabilities and located at the edge of the network. The objective is to optimize the placement of contents on the servers to offload as much as possible the data center. We model the system constituted by the small servers as a loss...

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ژورنال

عنوان ژورنال: IEEE Internet Computing

سال: 2002

ISSN: 1089-7801

DOI: 10.1109/mic.2002.1036038