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  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
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  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
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Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
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Distributed cache management in information-centric networks

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Συγγραφέας
Sourlas, V.; Gkatzikis, L.; Flegkas, P.; Tassiulas, L.
Ημερομηνία
2013
DOI
10.1109/TNSM.2013.052113.120382
Λέξη-κλειδί
Autonomic cache management
distributed optimization
Information-Centric Networks
performance bounds
Cache management
Communication relationships
Extensive simulations
Information-centric
Information-centric networkings (ICN)
Overall network traffics
Complex networks
Computer simulation
Electric network topology
Network architecture
Optimization
Virtual storage
Management
Εμφάνιση Μεταδεδομένων
Επιτομή
The main promise of current research efforts in the area of Information-Centric Networking (ICN) architectures is to optimize the dissemination of information within transient communication relationships of endpoints. Efficient caching of information is key to delivering on this promise. In this paper, we look into achieving this promise from the angle of managed replication of information. Management decisions are made in order to efficiently place replicas of information in dedicated storage devices attached to nodes of the network. In contrast to traditional off-line external management systems we adopt a distributed autonomic management architecture where management intelligence is placed inside the network. Particularly, we present an autonomic cache management approach for ICNs, where distributed managers residing in cache-enabled nodes decide on which information items to cache. We propose four on-line intra-domain cache management algorithms with different level of autonomicity and compare them with respect to performance, complexity, execution time and message exchange overhead. Additionally, we derive a lower bound of the overall network traffic cost for a certain category of network topologies. Our extensive simulations, using realistic network topologies and synthetic workload generators, signify the importance of network wide knowledge and cooperation. © 2013 IEEE.
URI
http://hdl.handle.net/11615/33220
Collections
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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