1 Serge Abiteboul - Monitoring 1 Monitoring of distributed applications (in P2P) Serge Abiteboul,...

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Serge Abiteboul - Monitoring 1

Monitoring of distributed applications (in P2P)

Serge Abiteboul, Pierre Bourhis, Bogdan Marinoiu,

INRIA Saclay and Université Paris 11

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Organization

The context: the AXML program

Motivation for monitoring

The architecture

Axlog

Example

Conclusion

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The context: the AXML program


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Distributed data management with AXML

Active XML: XML document with embedded function calls• Intentional & dynamic information

• In pull or push mode

• Object & Active data

AXML store AXML peer/V2 • persistence, activation of local data

AXML query processor and optimizer Optimax• Distributed query plans

AXML Business artifacts: verification

AXML monitor P2Pmonitor• Distributed monitoring


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Motivation

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With the Web, more and more distribution

Often distributed applications are very dynamic• Content change rapidly

• Intense communications

Complex and hard to control systems• Many peers

• Peers are distributed

• Peers are autonomous

• Peers are sometimes unreliable and selfish

• Peers sometimes come and leave

Goal: monitor such systems

& support active features ala active databases

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Example: Dell supply chain


Shipping Co.

Bank

Customer Webstore

Bank

Plant

Revolver

Shipping Co.

Suppliers

Monitor

Monitor

MonitorMonitor

Monitor

Monitor

Globalsupervisor

Monitoring of distributed information manufacturing system

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More examples

Business applications• Gather information for billing, bug tracing…

• Procurement

Web Intelligence: e.g., business intelligence and surveillance of competing companies

Security surveillance against intrusion, spamming

P2P applications• Optimization and tuning: e.g., gather statistics, control indexing

• Error management, detection, diagnosis

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The architecture

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Architecture


publishers

Alerters

Streams

Streamprocessors

actions

RSS

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Alerter: monitor a single system

Detect events at the peer level

Depend on the peer that is monitored

Monitor what?• Database updates• Events in RSS feed• Web page changes• WS calls (in/out)

Each event is represented as an XML document

Active stream

Activestream

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Active streams

Monotone case• Stream of XML documents (possibly Active XML)

Nonmonotone case• Think of the stream as defining a forest

• We can send updates to the previous data, typically deletions

Insert [12,jean,1300], [11,marie,1555]

Insert [3,zoe,1333]

Delete [Id=12]; Insert [5,noé,1111]

In the style of RSS feeds

Streams are published as channel where it is possible to subscribe

They are implement as Web service calls


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Stream processors

Efficient Filter - can support a large number of selections simultaneously

Binary operators: union, join, etc.

Operator with memory: duplicate elimination

Aggregation operator

Publisher• XML page, RSS, email, Web page

Novelty: axlog (axlog subscription & axlog engine)


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Algebraic (monitoring) plans

ActiveXML algebra: same algebra as for distributed query processing

Algebra over streams of (A)XML documents• To send just some tree T: T, eos

From ActiveXML: XML + embedded service calls• A service may be any query

The algebraic glue: send, receive, eval

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Axlog (axml & datalog)

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Axlog principle = Doc + query

Incoming streams

The outgoing stream is defined by a query Q (tree pattern + join)

Each time an incoming message arrives, it modifies the document

Possibly the query resultAn outgoing message is generated

Incremental view maintenance


Q

Active XML document

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Axlog - continued

We have implemented an axlog engine

We use datalog to benefit from1. Incremental view maintenance in datalog – Δ technique

2. Query optimization in datalog – Magic set

We have developed specific techniques 1. 3-valued based (true, false, possibleInFuture)

2. Avoid some derivation that Magic would do – preprocessing

3. Precompute in an optimistic manner

4. Garbage collection


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Example


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Example

Some process (e.g.,, BPEL workflow mailOrder) may be initiated at a webStore in US or France

The last operation of the process (e.g., shipping) occurs on Shipping – we are interested in shipping from UK

We want to detect when one mailOrder took more that 5 days to process when the customer is a Premium customer

Easy case• Monotone in-stream

• Monotone query

• No time constraint

• No aggregation


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Local alerter specifications

On webStore US and webStore FR

for $call in(WS-outCall)

where $call/method = “mailOrder“

return <start> <Id> $call/ID <Id>

<time> $call/time </time> </start>

On shipping UK

for $call in(WS-outCall)

where $call/method = “shipping“

return <start> <Id> $call/ID <Id>

<time> $call/time </time> </start>


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Axlog specification

AXML monitor.axml

<xml> <starts> [email protected]()

[email protected]() </starts>

<ends> [email protected]() </ends>

</xml>

Query from supervisor in India

For $s in doc(“monitor.axml”)/starts/start,

$e in doc(“monitor.axml”)/ends/end

Where $s/Id = $e/Id and $s//Premium

and ($e/time - $s/time) > 1800 and

Return <long ID=$e/id> $s, $e </long>


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Monitoring task plan

wsAlert@FR

σwsAlert@US

σ

ϴJoin

Reporter

Publisher

∪σ

wsAlert@UK

Emai lto India

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Monitoring task plan – localisation

wsAlerterσwsAlerter

σ

ϴJoin

Reporter

Publisher

Publish

Site US

Site FR

Site UK

channel

Publish

∪σ

wsAlerter

Email to India

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Conclusion

Prelim paper in International Workshop on Web Information and Data Management 2007

Demo in ICDE08

On going

• Temporal queries

• Negation in queries

• Deletion

Related work on Mashups with Tel Aviv Univ. & IBM Haifa

• Purely relational


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Merci

Merci

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