View
249
Download
3
Embed Size (px)
DESCRIPTION
It is not rare when relatively primitive charts or diagrams are referred to as visualizations. When one is monitoring/managing performance at the scale of a data center, it is especially obvious that such visualizations are not very helpful as they fail to capture or present information in a holistic way, thus making it hard to make management decisions. This paper proposes a holistic visualization method which is based on the theory of information visualization, namely (1) metaphor as base, (2) density maximization and (3) proximity packing. The proposed method can concurrently digest multiple streams of packet traffic but can also incorporate streams of alternative monitoring data.
Citation preview
.
Mission Statement
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 2/24...
2/24
.
Mission Statement / Goals
1. a holistic method for performance visualizationinDCs
2. a clean slate + there are no rivals
3. a generic design applicable to various kinds of performance data◦ traffic in this paper, but ideally anything
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 3/24...
3/24
.
Visualization Primer
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 4/24...
4/24
.
Visualization Theory.Visualization Tradition.....
.... is to maximize information density and minimize labeling
• metrics are density and proximity -- proximity packing problem
• Tufte 05 and others 06
.New (proposed) Formulation.....
.... addsmetaphor and enhances the labeling metric
• metaphor is a strict requirement -- 3D/3D charts are not metaphors
• higher number of metrics
05 E.Tufte+0 "The Visual Display of Quantitative Information" Graphics Press (1983)
06 J.Steele+1 "Beautiful Visualization" O'Reilly Media (2010)
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 5/24...
5/24
.
Visualization Methods• Waterpipe Model (the proposal) is explained later
• key point: 2D → 3D may actually make things worse!
WaterpipeModel 2D 3D
Metaphor YES NO NOInformation Density HIGH LOW BETTER
Labeling minimization GOOD BAD BETTERPerceptual enhancement GOOD BAD WORSE
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 6/24...
6/24
.
Visualization Examples
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 7/24...
7/24
.
Viz : Example (1)• Community QoS visualization from 04
0 6400 12800 19200Batch size (bytes)
0
800
1600
2400
3200
4000
OW
D(m
s) +
TX
time
(x0.
1ms)
04 myself+0 "A holistic... for measuring end-to-end QoS at data centres" IJCSE (2014)
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 8/24...
8/24
.
Viz : Example (2)
Meter Merger
Analyzer
Analyzer
Analyzer
Buffer 5sTimeout 5sSampling timeout 10s
Buffer 1s
Buffer 10s
Buffer 30s
Lower clusterUpper cluster
47kb
25kb
21kb
12kb
0.6kb
0.3kb
Per secondPer buffer
10kb
7.4kb
32kb
26kb
Differentbuffer size
• also from 04
• Petri Nets are based on thetree metaphor -- simplebut powerful
04 myself+0 "A holistic... for measuring end-to-end QoS at data centres" IJCSE (2014)
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 9/24...
9/24
.
Proposal : The Waterpipe Model
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 10/24...
10/24
.
Proposal : Waterpipe Model
• Existing (1) : there is already fluid model in traffic simulations◦ differential equations◦ data unit is aggregate flow rather than packets◦ you do not actually run such a simulation -- you take a snapshot at a given point in time
• Existing (2) : Bucket Model in queueing theory -- a bucket of water
• Waterpipe Model is similar, only with a strong visual component --the metaphor
• Data Center is literally viewed as a system of water pipes -- a job for plumbers?
• the metaphor is flexible, can support multiple variants
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 11/24...
11/24
.
Waterpipe : Model 1• one tap is one VM/PM/etc.
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 12/24...
12/24
.
Waterpipe : Model 2• same, but more focus on in/out balance of goodput, congestion, etc
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 13/24...
13/24
.
Implementation
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 14/24...
14/24
.
Implementation : Status
• 80% complete• already have all the components from past research -- see below
• the visual part is new but not hard to design
• components:
1. multicore traffic capture and processing2. client-side web aggregator based onWebSockets and WebWorkers
(HTLM5)3. interactive design -- this part is pending but easy
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 15/24...
15/24
.
Implementation : Multicore• heavy use of multicore and realtime processing -- recent paper in 07
Global Networks
Data Center Internals
Gateway Switch
Capture Manager
CPU CPU CPU
CPU CPU CPU
… Storage
Mirror
07 myself+0 "A Software Design and Algorithms for Multicore Capture..." ACM ASIA-CCS-SFCS (2014)
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 16/24...
16/24
.
Implementation : Sockets• WebSockets -- streaming, native binary support, heavily interactive,client-side aggregation 01
• recent study shows that 900Mbps can be supported using parallel sockets 02
• again, WebWorkers expoit multicore if present
Network
Chrome Browser
Control
…… Media requests
Server
Buffer
Client WebSocket
Apache web server
WebSocket server
WebWorker
WebSocket
WebWorker
Network
Server
Round Robin
Add
01 myself+0 "Multi-Source Stream Aggregation in the Cloud" ADCN Wiley Book (2013)
02 myself+0 "Experiments with application throughput in a browser with full HTML5 support" IEICE ComEx (2013)
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 17/24...
17/24
.
Design : Capture/Processing• any level of abstraction: PMs, VMs, storage, etc.• realtime processing and decision-making -- towards interactive visualization 07
WebWorkerWeb
WorkerCPU
Core(s)
….
PM
PM
PM
PM
Switch To Cloud
Split Merge
TrafficMirroring
InteractiveDisplay
07 myself+0 "A Software Design and Algorithms for Multicore Capture..." ACM ASIA-CCS-SFCS (2014)
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 18/24...
18/24
.
Design : Interactive Display• aggregation and processing on multicore, highly interactive display• basically, a player (of performance info) plus interaction
• recent study on the most cost effective visualization technologies inbrowser 03
WebWorkerWeb
WorkerWeb
WorkerWeb
Worker Player
1 2 3
….
….Web Socket
Browser Window (GUI)
03 myself+0 "... the Most Cost Effective Method in Browser-Based Visualizations" IIEEJ (2014)
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 19/24...
19/24
.
Wrapup
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 20/24...
20/24
.
Wrapup
• 80% complete with most important components fully available
• currently testing on a small cloud at Kyutech• only 2 variants shown, but more are possible -- all based on waterpipes
• important: not limited to traffic, can work on any performance data◦ CPU, memory, storage, etc.
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 21/24...
21/24
.
That’s all, thank you ...
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 22/24...
22/24
.
[01] myself+0 (2013)Multi-Source Stream Aggregation in the CloudADCN Wiley Book
[02] myself+0 (2013)Experiments with application throughput in a browser with full HTML5 supportIEICE ComEx
[03] myself+0 (2014)... the Most Cost Effective Method in Browser-Based VisualizationsIIEEJ
[04] myself+0 (2014)A holistic... for measuring end-to-end QoS at data centresIJCSE
[05] E.Tufte+0 (1983)The Visual Display of Quantitative InformationGraphics Press
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 22/24...
22/24
.
[06] J.Steele+1 (2010)Beautiful VisualizationO'Reilly Media
[07] myself+0 (2014)A Software Design and Algorithms for Multicore Capture...ACM ASIA-CCS-SFCS
[08] myself+0 (current)1100+ Examples of Information Visualizationhttp://www.infovis.info/index.php?words=diagrams
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 23/24...
23/24
.
Extras : Processing Cost
Hashing
Increasing Per-Unit Cost
Manager
Prefix Matching
Cores that do not match
Process
Stage 1 Stage 2 Stage 3
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 23/24...
23/24
.
Extras : Multicore Processing
PF_RING
PF_RING
Time
Manager
Shared Memory
Capture
Capture
…
Core 1
Core 2
Core 3
….
Core X
M.Zhanikeev -- [email protected] -- ...Interactive Traffic Visualizations in Data Centers -- http://bit.do/marat140523 24/24...
24/24