/
The Data Cyclotron The Data Cyclotron

The Data Cyclotron - PowerPoint Presentation

lindy-dunigan
lindy-dunigan . @lindy-dunigan
Follow
375 views
Uploaded On 2016-03-13

The Data Cyclotron - PPT Presentation

The Data Cyclotron Query Processing Scheme Romulo Goncalves Martin Kersten ACM Trans Database Syst TODS 36427 2011 Outline Introduction Motivations Design Goals Interaction Protocols ID: 254629

layer data request ring data layer ring request experiments chunk local handling chunkid limited chunks skewed motivations capacity workloads

Share:

Link:

Embed:

Download Presentation from below link

Download Presentation The PPT/PDF document "The Data Cyclotron" is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.


Presentation Transcript

Slide1

The Data Cyclotron

The Data Cyclotron Query Processing Scheme

Romulo GoncalvesMartin KerstenACM Trans. Database Syst. (TODS) 36(4):27 (2011)Slide2

Outline Introduction

MotivationsDesign Goals

Interaction ProtocolsExperimental ResultsConclusionsSlide3

System OverviewSlide4

Motivations High-performance local networks can be faster than disks

Load balancing based on data allocation doesn't perform well with skewed workloadsSlide5

Design Goals

Exploit high-performance local networksLoad balancing using data movements (handle skewed work-loads)Minimize query response time

Maximize query throughputNo single point of failureSlide6

System OverviewSlide7

Motivations: RDMASlide8

Motivations: RDMASlide9

ArchitectureSlide10

The DBMS LayerSlide11

Data Cyclotron LayerSlide12

The Network LayerSlide13

DC Layer: Request Propagation

Request_msg = (SenderID,

ChunkID)If (SenderID ==me) : raise exception (data is missing!)If ChunkID is stored here :It was already loaded to the ring? Ignore the request msg

Is the ring is full ?

YES : add the request to the pending queue

NO : load the data to the ring

If I need the very same

ChunkID

: absorb the request

Else: forward the request to the next node in the ringSlide14

DC Layer: Pending Requests

Check for available space at regular intervalsHandle the older

request that fits the actual available space in the ringSlide15

DC Layer: handling data-chunks

Data-chunk header:Data-chunk-uid

OwnerLOI (Level Of Interest)CopiesHopsCyclesSlide16

DC Layer: handling foreign chunks

Hops++If I was waiting for this

Data-chunk-uid :Wake-up pinned queriesCopies ++Forward the chunkSlide17

DC Layer: handling local chunks

Fragments are loaded/unload into the ring depending on their LOI

How to set the LOI threshold?Slide18

Some questions

How does it scale

?No single point of failure?How does it manage local bandwidth?Resource allocation is fair

?Slide19

Experiments: limited ring capacitySlide20

Experiments: limited ring capacitySlide21

Experiments: limited ring capacitySlide22

Experiments: skewed workloadsSlide23

Experiments: non uniform workloadsSlide24

Possible extensionsUPDATE queries

Pulsating ringsNomadic queriesSlide25

Thank you!Q&A time!