DMFSGD: A Decentralized Matrix Factorization Algorithm for Network Distance Prediction
نویسندگان
چکیده
منابع مشابه
Network Distance Prediction Based on Decentralized Matrix Factorization
Network Coordinate Systems (NCS) are promising techniques to predict unknown network distances from a limited number of measurements. Most NCS algorithms are based on metric space embedding and suffer from the inability to represent distance asymmetries and Triangle Inequality Violations (TIVs). To overcome these drawbacks, we formulate the problem of network distance prediction as guessing the...
متن کاملA Critique of Network Distance Prediction using Matrix Factorization
The paper provides a critical analysis for the work done in [6]. After introducing and formulating the problem, the algorithm used in the same is briefly discussed. We reproduce the simulation results and verify the arguments in the above paper. We also provide simulations for added scenarios which were left out by the authors in [6].
متن کاملA Decentralized Network Coordinate System for Robust Internet Distance Prediction
Network coordinate systems have recently been developed as a scalable mechanism to predict latencies among arbitrary Internet hosts. Our research addresses several design challenges of a large-scale decentralized network coordinate system that were not fully addressed in prior work. In particular, we examine the design issues of a decentralized network coordinate system operating in a peer-to-p...
متن کاملPCoord : A Decentralized Network Coordinate System for Internet Distance Prediction
Several recently emerged Internet services make use of application-level or overlay networks. Examples of such services include overlay multicast, structured peer-topeer lookup services, and peer-to-peer file sharing. Many of these services could benefit from enabling participating end hosts to estimate their relative network locations within the overlay. In this thesis, we present PCoord, a pe...
متن کاملMatrix Factorization Method for Decentralized Recommender Systems
Decentralized recommender system does not rely on the central service provider, and the users can keep the ownership of their ratings. This article brings the theoretically well-studied matrix factorization method into the decentralized recommender system, where the formerly prevalent algorithms are heuristic and hence lack of theoretical guarantee. Our preliminary simulation results show that ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE/ACM Transactions on Networking
سال: 2013
ISSN: 1063-6692,1558-2566
DOI: 10.1109/tnet.2012.2228881