Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Leo Razoumov

dblp:133/3828 · also Leonid Razoumov · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Network optimization and economics · 77% Cellular and mobile networks · 23%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cellular and mobile networks
mobile data offloading
0.422014
iDEAL: Incentivized Dynamic Cellular Offloading via Auctions · IEEE/ACM Trans. Netw. 2014
iDEAL: Incentivized dynamic cellular offloading via auctions · INFOCOM 2013
Network optimization and economics › auction mechanism
reverse auction
0.422014
iDEAL: Incentivized Dynamic Cellular Offloading via Auctions · IEEE/ACM Trans. Netw. 2014
iDEAL: Incentivized dynamic cellular offloading via auctions · INFOCOM 2013
Network optimization and economics › mechanism design
incentive mechanism
0.212014
iDEAL: Incentivized Dynamic Cellular Offloading via Auctions · IEEE/ACM Trans. Netw. 2014
Network optimization and economics › resource allocation
spectrum allocation
0.212014
iDEAL: Incentivized Dynamic Cellular Offloading via Auctions · IEEE/ACM Trans. Netw. 2014
Network optimization and economics › auction mechanism
truthful auction
0.212014
iDEAL: Incentivized Dynamic Cellular Offloading via Auctions · IEEE/ACM Trans. Netw. 2014
Network optimization and economics
auction theory
0.212013
iDEAL: Incentivized dynamic cellular offloading via auctions · INFOCOM 2013
Network optimization and economics
mechanism design
0.012013
iDEAL: Incentivized dynamic cellular offloading via auctions · INFOCOM 2013
Network optimization and economics › mechanism design
truthful mechanism
0.012013
iDEAL: Incentivized dynamic cellular offloading via auctions · INFOCOM 2013

Methods — techniques the papers use, named apart from their topics

auction theory · 0.2reverse auction · 0.2incentive mechanism · 0.2
YearPublicationVenuePosition
2014 iDEAL: Incentivized Dynamic Cellular Offloading via Auctions
abstract
The explosive growth of cellular traffic and its highly dynamic nature often make it increasingly expensive for a cellular service provider to provision enough cellular resources to support the peak traffic demands. In this paper, we propose iDEAL, a novel auction-based incentive framework that allows a cellular service provider to leverage resources from third-party resource owners on demand by buying capacity whenever needed through reverse auctions. iDEAL has several distinctive features: 1) iDEAL explicitly accounts for the diverse spatial coverage of different resources and can effectively foster competition among third-party resource owners in different regions, resulting in significant savings to the cellular service provider. 2) iDEAL provides revenue incentives for third-party resource owners to participate in the reverse auction and be truthful in the bidding process. 3) iDEAL is provably efficient. 4) iDEAL effectively guards against collusion. 5) iDEAL effectively copes with the dynamic nature of traffic demands. In addition, iDEAL has useful extensions that address important practical issues. Extensive evaluation based on real traces from a large US cellular service provider clearly demonstrates the effectiveness of our approach. We further demonstrate the feasibility of iDEAL using a prototype implementation.
Swati Rallapalli, Rittwik Jana, Lili Qiu, K. K. Ramakrishnan, Leo Razoumov, Yin Zhang 0001, Tae Won Cho
IEEE/ACM Trans. Netw.6
2013 iDEAL: Incentivized dynamic cellular offloading via auctions
abstract
The explosive growth of cellular traffic and its highly dynamic nature often make it increasingly expensive for a cellular service provider to provision enough cellular resources to support the peak traffic demands. In this paper, we propose iDEAL, a novel auction-based incentive framework that allows a cellular service provider to leverage resources from third-party resource owners on demand by buying capacity whenever needed through reverse auctions. iDEAL has several distinctive features: (i) iDEAL explicitly accounts for the diverse spatial coverage of different resources and can effectively foster competition among third-party resource owners in different regions, resulting in significant savings to the cellular service provider. (ii) iDEAL provides revenue incentives for third-party resource owners to participate in the reverse auction and be truthful in the bidding process. (iii) iDEAL is provably efficient. (iv) iDEAL effectively guards against collusion. (v) iDEAL effectively copes with the dynamic nature of traffic demands. In addition, iDEAL has useful extensions that address important practical issues. Extensive evaluation based on real traces from a large US cellular service provider clearly demonstrates the effectiveness of our approach. We further demonstrate the feasibility of iDEAL using a prototype implementation.
Swati Rallapalli, Rittwik Jana, Lili Qiu, K. K. Ramakrishnan, Leo Razoumov, Yin Zhang 0001, Tae Won Cho
INFOCOM6