Title
Managing the future internet through intelligent in-network substrates
Abstract
The current Internet has been founded on the architectural premise of a simple network service used to interconnect relatively intelligent end systems. While this simplicity allowed it to reach an impressive scale, the predictive manner in which ISP networks are currently planned and configured through external management systems and the uniform treatment of all traffic are hampering its use as a unifying multi-service network. The future Internet will need to be more intelligent and adaptive, optimizing continuously the use of its resources and recovering from transient problems, faults and attacks without any impact on the demanding services and applications running over it. This article describes an architecture that allows intelligence to be introduced within the network to support sophisticated self-management functionality in a coordinated and controllable manner. The presented approach, based on intelligent substrates, can potentially make the Internet more adaptable, agile, sustainable, and dependable given the requirements of emerging services with highly demanding traffic and rapidly changing locations. We discuss how the proposed framework can be applied to three representative emerging scenarios: dynamic traffic engineering (load balancing across multiple paths); energy efficiency in ISP network infrastructures; and cache management in content-centric networks.
Year
DOI
Venue
2011
10.1109/MNET.2011.6085640
Network, IEEE
Keywords
DocType
Volume
Internet,cache storage,ISP network infrastructure,ISP networks,Internet,cache management,content-centric networks,dynamic traffic engineering,external management system,intelligent end system,intelligent in-network substrate,multiservice network,network service,self-management functionality
Journal
25
Issue
ISSN
Citations 
6
0890-8044
2
PageRank 
References 
Authors
0.40
9
5
Name
Order
Citations
PageRank
Marinos Charalambides122721.53
George Pavlou21903157.00
Paris Flegkas328624.02
Ning Wang437932.97
Daphné Tuncer5316.84