Computing on Event-sourced Graphs

Mar 21, 20160 likes1,087 views

This document discusses computing on event-sourced graphs. It presents Benjamin Erb from Ulm University who is researching combining event processing with graph computing. The document describes event sourcing and how it could be applied to graph data to maintain the history of a graph through event logs. This would allow reconstructing past states of the graph and running batch processes on different versions. Maintaining an event log could also power real-time and batch analytics on the same graph data.

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Benjamin Erb
Ulm University, Germany
4th Graph-TA, Barcelona 2016
Computing on
Event-sourced Graphs
Short Overview

2 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016
Introduction
...
Benjamin Erb, research assistant
Research group of Prof. Frank Kargl
Institute of Distributed Systems
Ulm University, Germany
WWW: uulm.de/?erb

7 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016
Diﬀerent Style of Processing
Batch Processing & Event Processing
Finding interesting accounts Processing posts for trends
graph analysis
oﬄine operation
batch processing
stream analysis
online operation
event processing
approximative results
exact results
Giraph GraphLab SamzaStrom
near-realtime

8 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016
Why not using both?
Lambda & Kappa Architectures
Input Data
Speed Layer
(Near-realtime)
Serving Layer
(Results)
Batch Layer
(Oﬄine processing)
Details: lambda-architecture.net, kappa-architecture.com

9 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016
The Idea: How about graph computing? (1)
lightweight, event-driven computations
vertices possess local state and behavior
asynchronous messaging between vertices
vertex states are query-able by the user
batch processing on the graph
oﬄine processing of complex computation
traditional models, e.g. Pregel/BSP
uniﬁed platform
one platform, multiple computation types
B. Erb, F. Kargl: A Conceptual Model for Event-sourced Graph Computing; DEBS ’15

Platform Design?
The missing link: Event Sourcing

11 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016
Event Sourcing in a Nutshell
Example: Bank Account Balance
Traditional
State Updates
0€
100€
120€
80€
200€
Details: M. Fowler: Event Sourcing

12 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016
The Idea: How about graph computing? (2)
event-sourced graph operations
local topology changes
messaging between vertices
state updates of vertices
event logs…
maintain the entire vertex history
allow for global graph reconstruction
B. Erb, F. Kargl: A Conceptual Model for Event-sourced Graph Computing; DEBS ’15

13 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016
Event-sourced History of the Graph
Event Logging, Snapshots & Branching
B. Erb, F. Kargl: A Conceptual Model for Event-sourced Graph Computing; DEBS ’15

14 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016
Thanks!
..
Questions? Feedback?
Drop by at the poster session!
Contact
WWW: uulm.de/?erb
Mail: benjamin.erb@uni-ulm.de
Twitter: @b_erb

16 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016
Programming Model
Asynchronous, message-driven, vertex-centric, decentralized
Incoming messages from adjacent vertices
Outgoing messages to adjacent vertices
Event-sourced vertex state
Behavior function
(St+1, ft+1,[mout]) = ft(min, St)
B. Erb, F. Kargl: A Conceptual Model for Event-sourced Graph Computing; DEBS ’15

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1. . . . .... Benjamin Erb Ulm University, Germany 4th Graph-TA, Barcelona 2016 Computing on Event-sourced Graphs Short Overview

2. 2 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016 Introduction ... Benjamin Erb, research assistant Research group of Prof. Frank Kargl Institute of Distributed Systems Ulm University, Germany WWW: uulm.de/?erb

3. Event Processing + Graph Computing

4. .. Source: twitter.com

5. .. Source: twitter.com

6. .. Source: twitter.com

7. 7 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016 Diﬀerent Style of Processing Batch Processing & Event Processing Finding interesting accounts Processing posts for trends graph analysis oﬄine operation batch processing stream analysis online operation event processing approximative results exact results Giraph GraphLab SamzaStrom near-realtime

8. 8 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016 Why not using both? Lambda & Kappa Architectures Input Data Speed Layer (Near-realtime) Serving Layer (Results) Batch Layer (Oﬄine processing) Details: lambda-architecture.net, kappa-architecture.com

9. 9 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016 The Idea: How about graph computing? (1) lightweight, event-driven computations vertices possess local state and behavior asynchronous messaging between vertices vertex states are query-able by the user batch processing on the graph oﬄine processing of complex computation traditional models, e.g. Pregel/BSP uniﬁed platform one platform, multiple computation types B. Erb, F. Kargl: A Conceptual Model for Event-sourced Graph Computing; DEBS ’15

10. Platform Design?

11. Platform Design? The missing link: Event Sourcing

12. 11 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016 Event Sourcing in a Nutshell Example: Bank Account Balance Traditional State Updates 0€ 100€ 120€ 80€ 200€ Details: M. Fowler: Event Sourcing

13. 11 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016 Event Sourcing in a Nutshell Example: Bank Account Balance Traditional State Updates 0€ 100€ 120€ 80€ 200€ Event-sourced State Changes AccountCreated Deposited(100) Deposited(20) Withdrawn(40) Deposited(120) Details: M. Fowler: Event Sourcing

14. 12 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016 The Idea: How about graph computing? (2) event-sourced graph operations local topology changes messaging between vertices state updates of vertices event logs… maintain the entire vertex history allow for global graph reconstruction B. Erb, F. Kargl: A Conceptual Model for Event-sourced Graph Computing; DEBS ’15

15. 13 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016 Event-sourced History of the Graph Event Logging, Snapshots & Branching B. Erb, F. Kargl: A Conceptual Model for Event-sourced Graph Computing; DEBS ’15

16. 13 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016 Event-sourced History of the Graph Event Logging, Snapshots & Branching B. Erb, F. Kargl: A Conceptual Model for Event-sourced Graph Computing; DEBS ’15

17. 13 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016 Event-sourced History of the Graph Event Logging, Snapshots & Branching Live Graph B. Erb, F. Kargl: A Conceptual Model for Event-sourced Graph Computing; DEBS ’15

18. 13 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016 Event-sourced History of the Graph Event Logging, Snapshots & Branching Live Graph Event-driven Graph Computing B. Erb, F. Kargl: A Conceptual Model for Event-sourced Graph Computing; DEBS ’15

19. 13 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016 Event-sourced History of the Graph Event Logging, Snapshots & Branching Graph Snapshots Live Graph Event-driven Graph Computing B. Erb, F. Kargl: A Conceptual Model for Event-sourced Graph Computing; DEBS ’15

20. 13 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016 Event-sourced History of the Graph Event Logging, Snapshots & Branching Graph Snapshots Live Graph Event-driven Graph Computing B. Erb, F. Kargl: A Conceptual Model for Event-sourced Graph Computing; DEBS ’15

21. 13 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016 Event-sourced History of the Graph Event Logging, Snapshots & Branching Graph Snapshots Live Graph Decoupled Batch Processing on Branches Event-driven Graph Computing B. Erb, F. Kargl: A Conceptual Model for Event-sourced Graph Computing; DEBS ’15

22. 14 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016 Thanks! .. Questions? Feedback? Drop by at the poster session! Contact WWW: uulm.de/?erb Mail: benjamin.erb@uni-ulm.de Twitter: @b_erb

23. Backup Slides

24. 16 Computing on Event-sourced Graphs | Benjamin Erb Ulm University, Germany | 4th Graph-TA, Barcelona 2016 Programming Model Asynchronous, message-driven, vertex-centric, decentralized Incoming messages from adjacent vertices Outgoing messages to adjacent vertices Event-sourced vertex state Behavior function (St+1, ft+1,[mout]) = ft(min, St) B. Erb, F. Kargl: A Conceptual Model for Event-sourced Graph Computing; DEBS ’15

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