Transcript Document
Joint Advanced Students School 2005
Replication and synchronization techniques in the context of
mobile applications
By Alexander Stage
Software Engineering betrieblicher Informationssysteme (sebis)
Ernst Denert-Stiftungslehrstuhl
Lehrstuhl für Informatik 19
Institut für Informatik
TU München
wwwmatthes.in.tum.de
JASS 05 Synchronization and Replication in the Context of Mobile Applications
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Agenda
Motivation
Mobile Computing
Synchronization Techniques
Replication Techniques in Databases
Oracle Lite 10g – A Mobile Database Solution
Peer to Peer Mobile Computing
Future Applications and Developments
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Motivation – A Scenario
The disconnected sales-person problem: a typical day
Mobile Device
Local DB
Company
Mobile Device
Local DB
Central DB
travelling path
no communication link
Mobile Device
Local DB
Customer A
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Customer B
Customer C
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Agenda
Motivation
Mobile Computing
Synchronization Techniques
Replication Techniques in Databases
Oracle Lite 10g – A Mobile Database Solution
Peer to Peer Mobile Computing
Future Applications and Developments
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Mobile Computing - Characteristics
Mobile devices:
Laptops
Palmtops
Smart cell phones
Requirements:
Data access:
- Anywhere
- Anytime
Nomadic users
Constraints:
Limited ressources
Variable connectivty:
- Performance
- Reliability
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Mobile Computing – Communication Models
Client Server Model
Client
Client
Peer to Peer Model
Client/
Server
Client/
Server
Client/
Server
Client/
Server
Server
Client
Client
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Two Types of Synchronization
Process synchronization
Process A
Process B
modification
Time
Data item 1
Synchronization
Data synchronization
System A
System B
Process
Process
modification
Data Item 1
modification
Data Item 1
Process A
modification
Time
correspondance
Data item 1
Process B
Main System
modification
Data item 1
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Data Item 1
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Aspects of Synchronization
Amount of participating system:
1:1
1:n
Amount of exchanged data:
Incremental
- Usage of timestamps, attached to data items
- Comparison of sub data structures and exchange
Full
Conflict resolution mechanisms
Questions: who wins ?
Merging
System time synchronization in distributed systems
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Merging Data During Synchronization: The Product Sales Example
System A
System B
Order 50 units
of product A
Order 25 units
of product A
Stock Product A: 100
Stock Product A: 100
System A
System B
Order Product A: 50
Order Product A: 25
Stock Product A: 50
Stock Product A: 75
No communiation
Apply updates
Main System
Main System
Stock Product A: 100
Stock Product A: 25
Reduce stock,
Insert order
Reduce stock,
Insert order
No conflict, minimum stock is preserved
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Synchronization solutions
File system oriented:
Unix tool rsync:
- Incremental exchange of files
Coda file system
Version control systems:
CVS
WEBDav protocol:
- HTTP based file transfer protocol
- Locking and Versioning included
Mobile Application oriented:
Microsoft Active Sync:
- Synchronization between Desktop and Windows CE mobile devices
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Standardization Efforts in Data Synchronization:
SyncML
SyncML defines client server based protocol for synchronization
SyncML is XML based, main elements:
SyncMessage
Sync Commands:
- Modification commands: add, copy, delete, put and replace
- Query commands: read and search
- Response commands: status and results
- Execution specific commands: sequence and atomic
Synchronization models:
Two way sync
Slow sync
One way sync
Refresh sync
Server-alerted sync
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SyncML Architecture
Source: SyncML Representation Protocol, version 1.0.1, http://www.syncml.org/docs/syncml_represent_v101_20010615.pdf
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Agenda
Motivation
Mobile Computing
Synchronization Techniques
Replication Techniques in Databases
Oracle Lite 10g – A Mobile Database Solution
Peer to Peer Mobile Computing
Future Applications and Developments
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What is Replication ?
Usage of multiple copies of server system (replicas)
Goals:
Higher availability
Better performance
Areas of usage: Distributed Systems and Databases
Replicated Server Only
........
Server 1
Server n
Replicated Ressource and Server
Server 1 ........
Server n
Ressource
Ressource 1 ........ Ressource n
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Replication in Databases
Replication of the resource
replicating the database
Elimination of single point of failure
Single server behaviour
Correctness criterion: one-copy serializability
Synchronization in databases: replication
Constant trade-off between consistency and efficiency
Update anywhere, anytime, any way replication scheme
Simple case:
- Only a few replica nodes
- Low transaction rates
- Small amount of deadlocks and reconciliation
System scale up:
- Problem complexity grows drastically at cubic rates
- Inconsistent replicas and system delusion (no way to repair the inconsistencies)
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Replication in Databases – A Classification Scheme
Classification dimensions:
Where
- Dedicated replica:
- Single Master (primary master): primary and secondaries
- Every replica:
- Multi Master (update everywhere)
When
- Synchronous (eager replication)
- Asynchronous (lazy replication)
Other (not considered here)
- Interaction activities (network traffic)
- Constant or linear growth
- Transaction termination:
- Voting or Non-Voting techniques
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Abstract Functional Replication Model
Distinction between different replication solutions:
Phase ordering
Phase skipping
Request
Phase:
Server
Coordination
Phase:
Execution
Phase:
Agreement
Coordination
Phase:
Client
Response
Phase:
Client sends a
request to
one or
all replicas
Replicas
coordinate
their work
with each other
(ordering of
Execution
steps)
Replicas
execute
operation
Replicas ensure
that they all
have done
the same
thing (2pc)
Client receives
a response
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Synchronous Single Master Replication I
Characteristics
Keeps all replicas synchronous in consistent state
No update anomalies
Reduces performance
Increase response times
Possible solution
Trigger on selected tables
Updates remotely all replicas
Fails if one replica fails
Usage of 2pc
Implication:
- No control over when replication should take place
- Only databases with 2pc support
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Synchronous Single Master Replication II
(primary)
(secondary)
(secondary)
Source: Wiesmann, Pedone, Schiper, Kemme, Alonso: Understanding Replication in Databases and Distributed Systems,
Proceedings of 20th International Conference on Distributed Computing Systems (ICDCS'2000)
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Asynchronous Single Master Replication I
Characteristics
Response after primary processed request:
- Primary takes care about transaction ordering
Drawback: stale data items versions
Performance is main goal
Possible solutions
Database system log based propagation:
- Committed updates only
- Restriction: Wait for current transactions
- Further improvement: only send data fields
Log table:
- Trigger records update and insert actions
- Periodically recreate log table
- Send log table to replicas (preserving oder)
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Asynchronous Single Master Replication II
(primary)
(secondary)
(secondary)
Source: Wiesmann, Pedone, Schiper, Kemme, Alonso: Understanding Replication in Databases and Distributed Systems,
Proceedings of 20th International Conference on Distributed Computing Systems (ICDCS'2000)
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Handling Failures
Two types of failure:
Replica fails:
- Secondary
System not affected
Secondary catch up
- Primary
Re-election of primary
Most up-to-date replica: common system state
- Possible data loss
Network partition
- Problem: Which partition is allowed to process further requests ?
Majority consensus algorithms
Quorum consensus algorithms
Danger: Dramatic system performance loss
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Synchronous Multi Master Replication I
Similar to single master synchronous replication
Updates allowed at every replica
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Synchronous Multi Master Replication II
Source: Wiesmann, Pedone, Schiper, Kemme, Alonso: Understanding Replication in Databases and Distributed Systems,
Proceedings of 20th International Conference on Distributed Computing Systems (ICDCS'2000)
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Asynchronous Multi Master Replication I
Characteristics
Multi version concurrency control mechanisms
Conflicts
Reconciliation
- Automatic
- Manually
Possible solution
Unique timestamps
- Concatenation of local replica system clock to replica identifier
- Thomas Write Rule:
Update applied if timestamp numerical greater than local timestamp
- Also known as optimistic replication
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Asynchronous Multi Master Replication II
(primary)
(primary)
(primary)
Source: Wiesmann, Pedone, Schiper, Kemme, Alonso: Understanding Replication in Databases and Distributed Systems,
Proceedings of 20th International Conference on Distributed Computing Systems (ICDCS'2000)
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Replication Requirements in Mobile Context
Disconnected operations require
Asynchronous Multi Master Replication
More frequent reconciliation because of
- Lazy replication
- Message delays
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Replication Techniques - Summary
Replication classification scheme
Update location
Update propagation
Eager / synchronous
Lazy / asynchronous
primary server
primary server
Eager / synchronous
Lazy / asynchromnous
Update everywhere
Update everywhere
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Agenda
Motivation
Mobile Computing
Synchronization techniques
Replication techniques in databases
Oracle Lite 10g – A Mobile Database Solution
Peer to Peer Mobile Computing
Future Applications and Developments
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Oracle Lite 10g – A Mobile Database Solution
Supports disconnected mobile database applications
Local database (snapshot) on mobile device
Content: subset of enterprise database
Synchronization with enterprise database
Central component: Mobile Server
Application Model
Publication
- Deployed on Mobile Server
- Distribution of application code
- Distribution of SQL defined snapshots (controllable by variable)
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Oracle Lite 10g Architecture
Source: Oracle® Database Lite Developer's Guide 10g (10.0.0) Part No. B13788-0
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Oracle Lite 10g Synchronization Process I
Snapshot
Keeps track of local modifications
Three types of publication items (application depended)
Complete refresh
- All data items
Fast refresh
- Incremental (updates and inserts)
Queue based refresh
- No refresh (e.g. data collection: newly created data items)
Asynchronous synchronization
Central component Mobile Server
Via „In queues“ and „Out queues“
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Oracle Lite 10g Synchronization Process II
Source: Oracle® Database Lite Developer's Guide 10g (10.0.0) Part No. B13788-0
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Oracle Lite 10g Evaluation
Well suited for „build from scratch“
Enterprise database directly accessible from Mobile Server
„Mobile only“ or „Designed for mobility“ applications
Existing data access layers not supported (EJB, CORBA, other)
Duplication of mission-critical data access logic
Possible code portation efforts
Maintenance efforts increase
Benefits reduced or outweighted
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Agenda
Motivation
Mobile Computing
Synchronization techniques
Replication techniques in databases
Oracle Lite 10g – A Mobile Database Solution
Peer to Peer Mobile Computing
Future Applications and Developments
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Peer to Peer Mobile Computing
Shortcommings of client server model
No true mobility
No communication between mobile devices
Requirements
Any to any communication
- All devices equal
Large replication factors
Careful data replication
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The Ward Model I
Ward 2
Ward 3
Ward member
Ward 1
Ward master
Overlapped ward member
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The Ward Model II
Dynamically reconfigurable synchronization topology
All units equal mobile peers:
Intra ward mobility
Inter ward mobility
- Ward changing (heavyweight)
- Ward overlapping (lightweight)
Ward master:
Re-electable
Knows ward members
No storage of ward member data
Manages data import / export for ward
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The Ward Model III
Second, top-level ward: all ward master
Ward set: data of all ward members within one ward
Changes over time
Optimistically replicated within ward
Selective replication: intra- and inter-ward
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Two Tier Replication
Characteristics
Comparable with ward model
Static backbone of stationary replicated database servers
Mobile replicas connect eventually at all stationary replicas
Benefit
Compromise between efficiency and true mobility
Possible improvement:
Combination with ward model (selective replication)
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Agenda
Motivation
Mobile Computing
Synchronization techniques
Replication techniques in databases
Oracle Lite 10g – A Mobile Database Solution
Peer to Peer Mobile Computing
Future Applications and Developments
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Future Applications and Developments
Car to car communication (http://www.car-to-car.org)
Mobile network of communicating cars
Security services
Development of replication schemes, based on ward model ?
Moving wards
Multi level ward hierachy
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Thanks for your attention !
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Discussion
Try to describe other real world usage scenarios of mobile applications, where
synchronization and replication techniques need to be used
Which technologies could be helpful for application level data replication and
integration. Think of technologies in the field of Enterprise Application Integration
(EAI). Which advantages and disadvantages can be identified with respect to
requirements in mobile applications
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Appendix I: SyncML Example
Source: SyncML Representation Protocol, version 1.0.1, http://www.syncml.org/docs/syncml_represent_v101_20010615.pdf
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Appendix II: Majority Consensus Algorithm I
Secondary 1
Secondary 1
Secondary 2
Network
Partition
Secondary 2
Primary
Primary
Secondary 3
Secondary 4
Secondary 4
Secondary 3
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Appendix II: Majority Consensus Algorithm II
Secondary 2
Secondary 1
2,5 <
Inactive
Partition
2
3
Working
partition
Old Primary
New Primary
Secondary 4
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Appendix III: Quorum Consensus Algorithm I
Weight: 1
Secondary 1
Weight: 2
Primary
Weight: 1
Secondary 1
Primary
Weight: 2
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Appendix III: Quorum Consensus Algorithm II
Partition weight = 2
Working
partition
Weight: 2
Primary
JASS 05 Synchronization and Replication in the Context of Mobile Applications
>
Partition weight = 1
Inactive
partition
Weight: 1
Secondary 1
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