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Jesse S. A. Bridgewater

dblp:49/5966 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2008
—ORCID · none

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

Systems, architecture and hardware · 2 · 1 first-authorComputer networks · 1Security and privacy · 1

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 architecture, parallel and distributed computing, and storage systems
1 paper
Parallel and multicore computing · 56% Distributed systems · 36% Performance modeling and evaluation · 8%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Parallel and multicore computing › load balancing
distributed load balancing
0.112007
Balanced Overlay Networks (BON): An Overlay Technology for Decentralized Load Balancing · IEEE Trans. Parallel Distributed Syst. 2007
Parallel and multicore computing
load balancing
0.112007
Balanced Overlay Networks (BON): An Overlay Technology for Decentralized Load Balancing · IEEE Trans. Parallel Distributed Syst. 2007
Distributed systems › peer-to-peer systems
overlay networks
0.112007
Balanced Overlay Networks (BON): An Overlay Technology for Decentralized Load Balancing · IEEE Trans. Parallel Distributed Syst. 2007
Distributed systems
random walk sampling
0.012007
Balanced Overlay Networks (BON): An Overlay Technology for Decentralized Load Balancing · IEEE Trans. Parallel Distributed Syst. 2007

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

simulation · 0.1random-walk sampling · 0.1
YearPublicationVenuePosition
2008 Resilience of structured P2P systems under churn: The reachable component method
Joseph S. Kong, Jesse S. A. Bridgewater, Vwani P. Roychowdhury
Comput. Commun.2
2007 Balanced Overlay Networks (BON): An Overlay Technology for Decentralized Load Balancing
abstract
We present a novel framework, called balanced overlay networks (BON), that provides scalable, decentralized load balancing for distributed computing using large-scale pools of heterogeneous computers. Fundamentally, BON encodes the information about each node's available computational resources in the structure of the links connecting the nodes in the network. This distributed encoding is self-organized, with each node managing its in-degree and local connectivity via random-walk sampling. Assignment of incoming jobs to nodes with the most free resources is also accomplished by sampling the nodes via short random walks. Extensive simulations show that the resulting highly dynamic and self-organized graph structure can efficiently balance computational load throughout large-scale networks. These simulations cover a wide spectrum of cases, including significant heterogeneity in available computing resources and high burstiness in incoming load. Prior analytical results show BON's scalability for truly large-scale networks; under certain ideal conditions, the network structure converges to Erdos-Renyi (ER) random graphs. Our simulation results, however, show that the algorithm does much better, and the structures seem to approach the ideal case of d-regular random graphs. We also make a connection between highly-loaded BON and the well-known ball-bin randomized load balancing framework.
Jesse S. A. Bridgewater, P. Oscar Boykin, Vwani P. Roychowdhury
IEEE Trans. Parallel Distributed Syst.1
2006 A General Framework for Scalability and Performance Analysis of DHT Routing Systems
abstract
In recent years, many DHT-based P2P systems have been proposed, analyzed, and certain deployments have reached a global scale with nearly one million nodes. One is thus faced with the question of which particular DHT system to choose, and whether some are inherently more robust and scalable. Toward developing such a comparative framework, we present the reachable component method (RCM) for analyzing the performance of different DHT routing systems subject to random failures. We apply RCM to five DHT systems and obtain analytical expressions that characterize their routability as a continuous function of system size and node failure probability. An important consequence is that in the large-network limit, the routability of certain DHT systems go to zero for any non-zero probability of node failure. These DHT routing algorithms are therefore unscalable, while some others, including Kademlia, which powers the popular eDonkey P2P system, are found to be scalable
Joseph S. Kong, Jesse S. A. Bridgewater, Vwani P. Roychowdhury
DSN2