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FT-ERF

Fault-Tolerance in an Event Rule Framework for Distributed Systems<= /font>

Presentation Object= ives

Presentation Object= ives

Challenges on Active Replication

Lack of Timing Synchronization of Rule Evaluation Cycles (REC) among RUBIES replicas

Lack of Timing Synchronization of Rule Evaluation Cycles (REC) among RUBIES replicas

Lack of Consistency= of Event Sets (ES) among RUBIES replicas

Lack of Consistency= of Event Sets (ES) among RUBIES replicas

What is the problem= ?

What is the issue?<= /a>

How to do it?

How to do it?

Research New Object= ive

Procedure

OGS (Object Group Service)

Eternal Systems FTO= RB

Others

Comparison among Fault-Tolerant CORBA systems

Conclusion<= /font>

"Thanks"<= /a>
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FT-ERF

Fault-Tolerance in an Event Rule Framework for Distributed Systems<= /font>

Hillary Caituiro-Monge, Gradu= ate Student.

Advisor: Javier Arroyo-Figuer= oa, Ph.D.

Presentation 3

Presentation Object= ives

Understand the Architecture o= f the Scalable and Fault-Tolerant ERF Architecture

Relate Challenges on Active R= eplication

Analyze Core Lacks among RUBI= ES replicas, with the purpose of Achieve Fault-Tolerance:

Lack of Timing Synchronizatio= n of Rule Evaluation Cycles (REC)

Lack of Consistency of Event = Sets (ES)

Distributed Agreement Protoco= l

Presentation Object= ives

Introduce Research New Object= ive

Slide 4

Slide 5

Slide 6

Challenges on Active Replication

Strong replica consistency

All replicas must have the sa= me state after method invocations

Duplicated invocation detecti= on and suppression

Lack of Timing Synchronization of Rule Evaluation Cycles (REC) among RUBIES replicas

It is a source of non-determi= nistic behavior among RUBIES replicas

It is not triggered in respon= se to direct or indirect client�s method invocation

It is always running

Thereby the replicas consiste= ncy is not reachable by means of interface based consistency mechanisms

Lack of Timing Synchronization of Rule Evaluation Cycles (REC) among RUBIES replicas

Each replica from a group has= its independent REC, where the

Starting time differs<= /td>

Duration time differs<= /td>

Making a scenario where each = group member or replica runs each REC including different events.

Lack of Consistency= of Event Sets (ES) among RUBIES replicas

It is a source of non-determi= nistic behavior among RUBIES replicas

The ES� content changes diffe= rent for each replica

The ES� content changes for t= wo reasons:

Incoming events

Died events

Lack of Consistency= of Event Sets (ES) among RUBIES replicas

The ES� content changes diffe= rent for each replica, it is as consequence of delivery communication delay of eve= nts to each replica.

What is the problem= ?

Each replica, belong to same = group, includes dissimilar events for each consecutive equivalent REC execution.=

As result each RUBIES replica= posts different events in different times and with different state.

Such behavior is a problem fo= r load distribution and/or replication.

What is the issue?<= /a>

Strong replica consistency

Synchronize rule evaluation c= ycles among RUBIES replicas

Turn consistent event sets am= ong RUBIES replicas

How to do it?

Distributed Agreement or Cons= ensus Protocol (Currently working in this)

RUBIES replicas must start ea= ch REC after� an agreement.

RECs must have an unique ID

RECs of same ID must run simu= ltaneously

How to do it?

Distributed Agreement or Cons= ensus Protocol (Currently working in this)

RUBIES replicas must include = same events for RECs of same ID

Agreement must include which = events will consider

Sliding window

Research New Object= ive

The proposed research will fo= cus on the fault-tolerance problem in ERF.

The main purpose is to design= and implement a strong replica consistency mechanism to achieve fault-toleran= ce.

Procedure

Select an Active Replication = Software

Must be CORBA Fault-Tolerant = Compatible

Must be portable

Must not be intrusive<= /td>

No commercial

Make an Distributed Agreement= Protocol

Related Above

OGS (Object Group Service)

Non-intrusive

Service approach.

Requiring no change to the un= derlying ORB

Compliant with the CORBA spec= ification

Not proprietary.

Designed and implemented as a= set of CORBA objects. This makes it interoperable between different ORBs.=

Plans to extend OGS and make = it compliant with FT-CORBA specification.

White box.

Eternal Systems FTO= RB

Non-intrusive

Interception approach.=

CORBA objects above the ORB s= upport the interfaces of the OMG Fault-Tolerant standard specifications

Replication mechanisms below = the ORB that provide strong replica consistency

Interceptors to reach indepen= dence of the ORB and applications.

Others

GMS (Group Communication Serv= ice)

IRL

Isis+Orbix Electra

AQua

Comparison among Fault-Tolerant CORBA systems

Conclusion<= /font>

For Fault-Tolerance in ERF is= necessary the design and implementation of an agreement protocol with the purpose of achieve strong replica consistency.

Strong replica consistency wi= ll enable ERF for distributed scenarios, such as replication, load distribution, lo= ad balancing, and so on.

"Thanks"<= /a>

Thanks

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= <= /td> =

FT-ERF

Fault-Tolerance in an Event Rule Framework for

Distributed Systems

<= /td> =

Hillary Caituiro-Monge, Graduate Student.

Advisor: Javier Arroyo-Figueroa, Ph.D.

Pr= esentation 3

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Presentation Ob= jectives

<= /td> <= /td> <= /td> = <= /td> <= /td> <= /td> <= /td> <= /td>

l Un= derstand the Architecture of the Scalable and

Fau= lt-Tolerant ERF Architecture

l Rel= ate Challenges on Active Replication

l An= alyze Core Lacks among RUBIES replicas,

wi= th the purpose of Achieve Fault-Tolerance:

� Lac= k of Timing Synchronization of Rule Evaluation

Cycl= es (REC)

� Lac= k of Consistency of Event Sets (ES)

� Dis= tributed Agreement Protocol

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Presentation Ob= jectives

<= /td>

l Int= roduce Research New Objective

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SCALABLE AND= FAULT TOLERANT ERF ARCHITECTURE

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REPLICATION = CLASS DIAGRAM

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DISTRIBUTION= CLASS DIAGRAM

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file:///C:/B96BA213/Fault-ToleranceinanERFfordistributedsystems_files/v3_slide0008.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" Slide 1

Challenges on A= ctive Replication

<= /td> <= /td> <= /td> <= /td> <= /td> <= /td>

l Str= ong replica consistency

� All= replicas must have the same state after

met= hod invocations

l Dup= licated invocation detection and

sup= pression

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<= /td> =

Lac= k of Timing Synchronization of Rule

Eva= luation Cycles (REC) among RUBIES

replicas<= br>

<= /td> = <= /td> <= /td> <= /td> <= /td>

l It = is a source of non-deterministic behavior

amo= ng RUBIES replicas

l It = is not triggered in response to direct or

ind= irect client�s method invocation

l It = is always running

l The= reby the replicas consistency is not

rea= chable by means of interface based

con= sistency mechanisms

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<= /td> =

Lac= k of Timing Synchronization of Rule

Eva= luation Cycles (REC) among RUBIES

replicas<= br>

<= /td> <= /td> = <= /td> <= /td> <= /td> <= /td>

l Eac= h replica from a group has its

ind= ependent REC, where the

� Sta= rting time differs

� Dur= ation time differs

l Ma= king a scenario where each group

me= mber or replica runs each REC

inc= luding different events.

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=

Lac= k of Consistency of Event Sets (ES)

among RUBIES re= plicas

<= /td> <= /td> <= /td> <= /td> <= /td> <= /td> =

l It= is a source of non-deterministic behavior

amo= ng RUBIES replicas

l Th= e ES� content changes different for each

repl= ica

l The= ES� content changes for two reasons:

� Inc= oming events

� Die= d events

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=

Lac= k of Consistency of Event Sets (ES)

among RUBIES re= plicas

<= /td> <= /td> =

l The= ES� content changes different for each

rep= lica, it is as consequence of delivery

com= munication delay of events to each

repl= ica.

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What is the pro= blem?

<= /td> <= /td> <= /td> = = <= /td> <= /td> <= /td> <= /td>

l Ea= ch replica, belong to same group,

in= cludes dissimilar events for each

co= nsecutive equivalent REC execution.

� As= result each RUBIES replica posts different

ev= ents in different times and with different state.

l Suc= h behavior is a problem for load distribution

and= /or replication.

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What is the iss= ue?

<= /td> <= /td> <= /td> <= /td> <= /td> =

l Str= ong replica consistency

� Syn= chronize rule evaluation cycles among

RUB= IES replicas

� Tur= n consistent event sets among RUBIES

repl= icas

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How to do it?

<= /td> <= /td> <= /td> <= /td> = <= /td> <= /td>

l Di= stributed Agreement or Consensus

Pr= otocol (Currently working in this)

� RU= BIES replicas must start each REC after� an

agre= ement.

l REC= s must have an unique ID

l REC= s of same ID must run simultaneously

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How to do it?

<= /td> <= /td> <= /td> = <= /td> = <= /td> <= /td>

l Di= stributed Agreement or Consensus

Pr= otocol (Currently working in this)

� RU= BIES replicas must include same events for

REC= s of same ID

l Agr= eement must include which events will consider

l Sli= ding window

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Research New Ob= jective

<= /td> <= /td> = <= /td> <= /td> <= /td>

l The= proposed research will focus on the

fau= lt-tolerance problem in ERF.

� The= main purpose is to design and implement a

str= ong replica consistency mechanism to

ach= ieve fault-tolerance.

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Procedure

<= /td> <= /td> = <= /td> <= /td> = <= /td>

l Sel= ect an Active Replication Software

� Mus= t be CORBA Fault-Tolerant Compatible

� Mus= t be portable

� Mus= t not be intrusive

� No = commercial

l Ma= ke an Distributed Agreement Protocol

� Rel= ated Above

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OGS (Object Gro= up Service)

<= /td> <= /td> <= /td> <= /td> <= /td> <= /td> = <= /td> <= /td>

l Non-= intrusive

l Ser= vice approach.

l Req= uiring no change to the underlying ORB

l Com= pliant with the CORBA specification

l Not= proprietary.

l De= signed and implemented as a set of CORBA objects.

Thi= s makes it interoperable between different ORBs.

l Pl= ans to extend OGS and make it compliant with FT-

COR= BA specification.

l Whit= e box.

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Eternal Systems= FTORB

<= /td> = <= /td> = <= /td>

l Non= -intrusive

l Int= erception approach.

l COR= BA objects above the ORB support

the= interfaces of the OMG Fault-Tolerant

sta= ndard specifications

l Rep= lication mechanisms below the ORB

tha= t provide strong replica consistency

l Int= erceptors to reach independence of the

ORB= and applications.

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Others

<= /td> <= /td> <= /td> =

l GMS= (Group Communication Service)

l IRL<= /font>

l Isi= s+Orbix Electra

l AQua=

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=

Com= parison among Fault-Tolerant

CORBA systems

<= /td> =

Car= lo Marchetti et. al. �Architectural Issues on Fault Tolerance in CORBA�, in

Pro= ceedings of the SSGRR 2000 Computer & Business Conference, L'Aquila,

Italy, 2000

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Conclusion

<= /td> = = <= /td> <= /td> <= /td> <= /td>

l For Fault-Tolerance in ERF is necessary

the= design and implementation of an

agr= eement protocol with the purpose of

ach= ieve strong replica consistency.

l Str= ong replica consistency will enable ERF

for= distributed scenarios, such as

rep= lication, load distribution, load

bal= ancing, and so on.

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<= /td>

l Than= ks

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FT-ERF

Fault-Toleranc= e in an Event Rule Framework for Distributed Systems

Hillary Caituiro-M= onge, Graduate Student.

Advisor: Javier Arroyo-Figueroa, Ph.D.

Presentation 3

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Presentation Objectives

lUnderstand the Architecture of the Scalable and Fault-Tolerant ERF Architecture

lRelate Challenges on Active Replication

lAnalyze Core Lac= ks among RUBIES replicas, with the purpose of Achieve Fault-Tolerance:

¡Lack of Tim= ing Synchronization of Rule Evaluation Cycles (REC)

¡L= ack of Consistency of Event Sets (ES)

¡D= istributed Agreement Protocol

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Presentation Objectives

<= span class=3DBB style=3D'position:absolute;left:-4.43%'>lIntroduce Resea= rch New Objective

<= span style=3D'visibility:hidden'>l

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SCA= LABLE AND FAULT TOLERANT ERF ARCHITECTURE

RUBIES (γ11, δ1)

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DISTRIBUTION DIMENSION<= span style=3D'font-size:78%;mso-special-format:lastCR;display:none'>

REPLICATI= ON DIMENSION

RUBIES (γ12, δ1)

RUBIES (γ1M, δ1)

RUBIES (γ21, δ2)

RUBIES (γ22, δ2)

RUBIES (γ2M, δ2)

RUBIES (γN1, δN)

RUBIES (γN2, δN)

RUBIES (γNM, δN)

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charset="us-ascii" Slide 1

REP= LICATION CLASS DIAGRAM

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Challen= ges on Active Replication

l<= /span>Strong replica consistency

¡All replicas must have the same state after method invocations

lDuplicated invocation detection and suppression

l

l

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Lack of Timing Synchronization of Rule Evaluation Cycles (REC) among RUBIES replicas

lIt is a source of non-deterministic behavior among RUBIES replicas lIt is not trigg= ered in response to direct or indirect client’s method invocation
<= span class=3DBB style=3D'position:absolute;left:-4.43%'>lIt is always running
lThereby the rep= licas consistency is not reachable by means of interface based consistency mechanisms
<= span style=3D'visibility:hidden'>l

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Lack of Timing Synchronization of Rule Evaluation Cycles (REC) among RUBIES replicas

lEach replica from a group has its independent REC, where the

&= iexcl;Starting time differs

&= iexcl;Duration time differs

lMaking a scenario where each group member or replica runs each REC including different events.

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Lack of Consistency of Event Sets (ES) among RUBIES replicas

lIt is a source of non-deterministic behavior among RUBIES replicas= 3;

lThe ES’ content changes different for each replica

l<= /span>The ES’ content changes for two reasons:

&= iexcl;Incoming events

&= iexcl;Died events

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Lack of Consistency of Event Sets (ES) among RUBIES replicas

lThe ES’ content chang= es different for each replica, it is as consequence of delivery communication delay of events to each replica.

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What is the problem?

lEach replica, belong to same group, includes dissimilar events= for each consecutive equivalent REC execution.

¡As result each RUBIES replica posts different <= /span>events in different times and with different state.

lSuch behavior is a problem for load distribution and/or replication.

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What is the issue?

l<= /span>Strong replica consistency

¡Synchronize rule evaluation cycles among = RUBIES replicas

¡Turn consistent event sets among RUBIES = replicas

l

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How to do it?

lDistributed Agreement or Consensus Protocol (Currently working in this)

¡ =

&i= excl;RUBIES replicas must start each REC after an agreement.

l= RECs must have an unique ID

l= RECs of same ID must run simultaneously

l

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How to do it?

lDistributed Agreement or Consensus Protocol (Currently working in this)

¡ <= /div>
&ie= xcl;RUBIES replicas must include same events for RECs of same ID

l= Agreement must include which events will consider

l= Sliding window

l

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Research New Objective

lThe proposed research will focus on the fault-tolerance problem in ERF.

¡ <= /div>
&i= excl;The main purpose is to design and implement a strong replica consistency mechanism to achieve fault-tolerance.

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Procedure

l<= /span>Select an Active Replication Software

&= iexcl;Must be CORBA Fault-Tolerant Compatible

&= iexcl;Must be portable

&= iexcl;Must not be intrusive

&= iexcl;No commercial

¡ =

l<= /span>Make an Distributed Agreement Protocol

&= iexcl;Related Above

l

l

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OGS (Object Group Service)

<= span style=3D'font-size:86%'>lNon-intrusive

<= span style=3D'font-size:86%'>lService approach.

<= span style=3D'font-size:86%'>lRequiring no change to the underlying ORB

<= span style=3D'font-size:86%'>lCompliant with the CORBA specification =

<= span style=3D'font-size:86%'>lNot proprietary.
lDesigned and implemented as a set of CORBA objects= . This makes it interoperable between different ORBs. lPlans to extend OGS and make it compliant with FT-CORBA specification.
<= span style=3D'font-size:86%'>lWhite box.

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Eternal Systems FTORB

lNon-intrusive

lInterception approach.

lCORBA objects above the ORB support = the interfaces of the OMG Fault-Tolerant standard specifications&#= 13;

lReplication mechanisms below the ORB that provide strong replica consistency

lInterceptors to reach independence of the <= /span>ORB and applications.

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Others

lGMS (Group Communication Service)

<= span class=3DBB style=3D'position:absolute;left:-4.43%'>lIRL =

<= span class=3DBB style=3D'position:absolute;left:-4.43%'>lIsis+Orbix Elec= tra

<= span class=3DBB style=3D'position:absolute;left:-4.43%'>lAQua

<= span style=3D'visibility:hidden'>l

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Comparison among Fault-Tolerant CORBA s= ystems

Carlo Marchetti et. al. “Architectural Issues on Fault Tolerance in CORBA”, in = = Proceedings of the SSGRR 2000 Computer & Business Conference, L'Aquila, I= taly, 2000

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