TY - GEN
T1 - Asymptotically-optimal incentive-based en-route caching scheme
AU - Gharaibeh, Ammar
AU - Khreishah, Abdallah
AU - Khalil, Issa
AU - Wu, Jie
PY - 2015/2/6
Y1 - 2015/2/6
N2 - Content caching at intermediate nodes is a very effective way to optimize the operations of Computer networks, so that future requests can be served without going back to the origin of the content. Several caching techniques have been proposed since the emergence of the concept, including techniques that require major changes to the Internet architecture such as Content Centric Networking. Few of these techniques consider providing caching incentives for the nodes or quality of service guarantees for content owners. In this work, we present a low complexity, distributed, and online algorithm for making caching decisions based on content popularity, while taking into account the aforementioned issues. Our algorithm performs en-route caching. Therefore, it can be integrated with the current TCP/IP model. In order to measure the performance of any online caching algorithm, we define the competitive ratio as the ratio of the performance of the online algorithm in terms of traffic savings to the performance of the optimal offline algorithm that has a complete knowledge of the future. We show that under our settings, no online algorithm can achieve a better competitive ratio than Ω(log n), where n is the number of nodes in the network. Furthermore, we show that under realistic scenarios, our algorithm has an asymptotically optimal competitive ratio in terms of the number of nodes in the network.
AB - Content caching at intermediate nodes is a very effective way to optimize the operations of Computer networks, so that future requests can be served without going back to the origin of the content. Several caching techniques have been proposed since the emergence of the concept, including techniques that require major changes to the Internet architecture such as Content Centric Networking. Few of these techniques consider providing caching incentives for the nodes or quality of service guarantees for content owners. In this work, we present a low complexity, distributed, and online algorithm for making caching decisions based on content popularity, while taking into account the aforementioned issues. Our algorithm performs en-route caching. Therefore, it can be integrated with the current TCP/IP model. In order to measure the performance of any online caching algorithm, we define the competitive ratio as the ratio of the performance of the online algorithm in terms of traffic savings to the performance of the optimal offline algorithm that has a complete knowledge of the future. We show that under our settings, no online algorithm can achieve a better competitive ratio than Ω(log n), where n is the number of nodes in the network. Furthermore, we show that under realistic scenarios, our algorithm has an asymptotically optimal competitive ratio in terms of the number of nodes in the network.
KW - En-route caching
KW - asymptotic optimality
KW - caching incentive
KW - competitive ratio
KW - quality of service
UR - http://www.scopus.com/inward/record.url?scp=84925379727&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84925379727&partnerID=8YFLogxK
U2 - 10.1109/MASS.2014.84
DO - 10.1109/MASS.2014.84
M3 - Conference contribution
T3 - Proceedings - 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2014
SP - 318
EP - 326
BT - Proceedings - 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2014
Y2 - 28 October 2014 through 30 October 2014
ER -