Presentation is loading. Please wait.

Presentation is loading. Please wait.

Sliver: A fast distributed slicing algorithm Ymir Vigfusson Cornell University Ymir Vigfusson Cornell University Vincent Gramoli EPFL & UniNE Switzerland.

Similar presentations


Presentation on theme: "Sliver: A fast distributed slicing algorithm Ymir Vigfusson Cornell University Ymir Vigfusson Cornell University Vincent Gramoli EPFL & UniNE Switzerland."— Presentation transcript:

1 Sliver: A fast distributed slicing algorithm Ymir Vigfusson Cornell University Ymir Vigfusson Cornell University Vincent Gramoli EPFL & UniNE Switzerland Anne-Marie Kermarrec INRIA Rennes France Vincent Gramoli EPFL & UniNE Switzerland Anne-Marie Kermarrec INRIA Rennes France Ken Birman Cornell University Robbert van Renesse Cornell University Ken Birman Cornell University Robbert van Renesse Cornell University Joint work with:

2 The Distributed Slicing Problem n nodes, each has an attribute value x i n nodes, each has an attribute value x i

3 The Distributed Slicing Problem n nodes, each has an attribute value x i n nodes, each has an attribute value x i Divide the sorted list of x i s into k slices Divide the sorted list of x i s into k slices n nodes, each has an attribute value x i n nodes, each has an attribute value x i Divide the sorted list of x i s into k slices Divide the sorted list of x i s into k slices

4 The Distributed Slicing Problem n nodes, each has an attribute value x i n nodes, each has an attribute value x i Divide the sorted list of x i s into k slices Divide the sorted list of x i s into k slices Each node i wants to independently know to which of the k slices x i belongs Each node i wants to independently know to which of the k slices x i belongs n nodes, each has an attribute value x i n nodes, each has an attribute value x i Divide the sorted list of x i s into k slices Divide the sorted list of x i s into k slices Each node i wants to independently know to which of the k slices x i belongs Each node i wants to independently know to which of the k slices x i belongs

5 The Distributed Slicing Problem n nodes, each has an attribute value x i n nodes, each has an attribute value x i Divide the sorted list of x i s into k slices Divide the sorted list of x i s into k slices Each node i wants to independently know to which of the k slices x i belongs Each node i wants to independently know to which of the k slices x i belongs n nodes, each has an attribute value x i n nodes, each has an attribute value x i Divide the sorted list of x i s into k slices Divide the sorted list of x i s into k slices Each node i wants to independently know to which of the k slices x i belongs Each node i wants to independently know to which of the k slices x i belongs Im in slice 2!

6 The Distributed Slicing Problem Large network with high rate of churn

7 The Distributed Slicing Problem Large network with high rate of churn Example: Choosing super-peers in the network Large network with high rate of churn Example: Choosing super-peers in the network

8 Sliver: Distributed slicing algorithm Each node i gossips x i (and other known values) to c random nodes

9 Sliver: Distributed slicing algorithm Each node i gossips x i (and other known values) to c random nodes Node j keeps track of data it receives Value, sender, expiration time Suppose B j values out of m are below x j Each node i gossips x i (and other known values) to c random nodes Node j keeps track of data it receives Value, sender, expiration time Suppose B j values out of m are below x j

10 Sliver: Distributed slicing algorithm Each node i gossips x i (and other known values) to c random nodes Node j keeps track of data it receives Value, sender, expiration time Suppose B j values out of m are below x j Node j estimates its slice as Each node i gossips x i (and other known values) to c random nodes Node j keeps track of data it receives Value, sender, expiration time Suppose B j values out of m are below x j Node j estimates its slice as

11 ResultsResults All nodes know their slice within 1 w.h.p. after rounds in expectation All nodes know their slice within 1 w.h.p. after rounds in expectation

12 ResultsResults All nodes know their slice within 1 w.h.p. after rounds in expectation Experiments on Emulab and simulations on Skype traces indicate rapid convergence and churn- tolerance Conclusion: Sliver is simple and robust with fast convergence properties. All nodes know their slice within 1 w.h.p. after rounds in expectation Experiments on Emulab and simulations on Skype traces indicate rapid convergence and churn- tolerance Conclusion: Sliver is simple and robust with fast convergence properties.


Download ppt "Sliver: A fast distributed slicing algorithm Ymir Vigfusson Cornell University Ymir Vigfusson Cornell University Vincent Gramoli EPFL & UniNE Switzerland."

Similar presentations


Ads by Google