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A New, Efficient Coordinated Check pointing
Protocol Combined with
Selective Sender-Based Message Logging

(Synopsis)
Abstract:
Check pointing and message logging are the popular and
general-purpose tools for providing fault tolerance in distributed
systems. The most of the Coordinated check pointing algorithms
available in the literature have not addressed about treatment of the
lost messages and these algorithms suffer from high output commit
latency. To overcome the above limitations, we propose a new
coordinated check pointing protocol combined with selective senderbased message logging. The protocol is free from the problem of lost
messages. The term ‘selective’ implies that messages are logged only
within a specified interval known as active interval, thereby reducing
message logging overhead. All processes take checkpoints at the end
of their respective active intervals forming a consistent global state.
Introduction:
Check pointing refers to saving the address space and
state of processes periodically to stable storage. On detection of
failures, each process rolls back to its latest checkpoint and resumes
the execution from that point. Check pointing protocols are categorized
into two main classes i.e. independent and coordinated check pointing.
In independent check pointing each process checkpoints its state
independently and does not require any synchronization when a
checkpoint is taken. It can have potentially high recovery overhead
because of domino effect i.e. rollback of one process causes avalanche
rollback of other processes to find a consistent recovery line. In
coordinated check pointing, the processes coordinate their check
pointing actions in such a way that the set of local checkpoints taken is
consistent . Hence the performance of coordinated check pointing is
better than that of Independent check pointing. However, the
Coordinated check pointing algorithms available in the literature have
not addressed about treatment of the lost messages and these
algorithms suffer from high output commit latency
In general, the message logging protocols are combined
with independent checkpointing. The limitations of this strategy are i)
High message logging overhead ii) Recovery is complex and doesn’t
ensure protocol to be free from domino effect. iii) Checkpointing
overhead is more. iv) Rollback is unbounded, because of which useful
computation is lost. v) Storage overhead is high. To overcome the
above limitations, a new coordinated checkpointing protocol combined
with selective sender- based message logging is proposed. The term
‘selective’ implies that messages are logged only within a specified
interval known as active interval, thereby reducing the message
logging overhead. In our protocol, messages are kept in the volatile
memory of the sender and flushed to stable storage only when taking
a new checkpoint. This technique results substantial decrease in the
message

logging

applications.

overhead

even

for

communication

intensive
Existing System :
Checkpointing and message logging are the popular and generalpurpose tools for providing fault tolerance in distributed systems. The
most of the coordinated checkpointing algorithms available in the
literature have not addressed about treatment of the lost messages
and these algorithms suffer from high output commit latency.
Disadvantages:
•

Rollback recovery recovery was not treated.

•

Checkpoint storage was not used.

Proposed System :
To overcome the above limitations, we propose a new
coordinated checkpointing protocol combined with selective senderbased message logging. The protocol is free from the problem of lost
messages. The term ‘selective’ implies that messages are logged only
within a specified interval known as active interval, thereby reducing
message logging overhead. All processes take checkpoints at the end
of their respective active intervals forming a consistent global state.
Outside the active interval there is no checkpointing of process state.

Advantages :
•

Rollback recovery is used

•

Checkpoint storage

•

Garbage Collection is used
Modules:
1. Calculation of Active Interval.
2. Handling of lost messages.
3. Handling of orphan messages.
4. Handling of garbage collection.

Module Description:
Calculation of Active Interval
In this module the coordinator send the prepare check point
message to the client. After particular time duration the coordinator
resend the message of take checkpoint. The time duration between
the prepare checkpoint message and take checkpoint message is
known as Active Time Interval.

AI

CP

CT

CP – Prepare Checkpoint
CT – Take Checkpoint
AI – Active Time Interval

Handling of Lost Messages
In this module, the messages sent during the active interval
of a sender process under consideration and received after the active
interval of a destination process under consideration are referred to as
lost messages. It is also calculate the message sent count and
message received count. It maintain in FIFO method.

Handling of Orphan Message
The messages sent after the active interval of a sender process
under consideration and received before the active interval of a
destination process under consideration are referred to as orphan
messages. In case of any failure, processes rollback to their latest
checkpoints, and replays the orphan/duplicate messages which should
be ignored by the receiving process. Since, the receiver maintains the
SSN count in its latest checkpoint, if the sender tries to replay any
messages

whose SSN count is less than or equal to receivers SSN;

the receiver discards them as orphan messages.
SSN –Sender Sequence Number

Handling of Garbage Collection
Garbage collection is the process of reclaiming the space
allocated to the unwanted checkpoints by removing them from the
stable storage. Whenever Pinitiator sends ‘prepare for checkpoint’
message to all other processes in the (n+1)th interval, the protocol
will automatically delete the global consistent state formed in the (n1)th interval, as it is no longer required; thereby ensuring garbage
collection.
REQUIREMENTS
Software requirements
Operating System

:

Windows

Programming Package :

JAVA

Tools

:

My Eclipse

SDK

:

JDK1.5.0

Hardware Specification
Processor

: Pentium IV

Speed

: 1.5 GHz

Main Memory

: 256 MB

Hard Disk Drive
Floppy Drive

: 40 GB
: 1.44 inches

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A new, efficiet coordinated checkpointing protocol combined with selective sender based message(synopsis)

  • 1. A New, Efficient Coordinated Check pointing Protocol Combined with Selective Sender-Based Message Logging (Synopsis)
  • 2. Abstract: Check pointing and message logging are the popular and general-purpose tools for providing fault tolerance in distributed systems. The most of the Coordinated check pointing algorithms available in the literature have not addressed about treatment of the lost messages and these algorithms suffer from high output commit latency. To overcome the above limitations, we propose a new coordinated check pointing protocol combined with selective senderbased message logging. The protocol is free from the problem of lost messages. The term ‘selective’ implies that messages are logged only within a specified interval known as active interval, thereby reducing message logging overhead. All processes take checkpoints at the end of their respective active intervals forming a consistent global state.
  • 3. Introduction: Check pointing refers to saving the address space and state of processes periodically to stable storage. On detection of failures, each process rolls back to its latest checkpoint and resumes the execution from that point. Check pointing protocols are categorized into two main classes i.e. independent and coordinated check pointing. In independent check pointing each process checkpoints its state independently and does not require any synchronization when a checkpoint is taken. It can have potentially high recovery overhead because of domino effect i.e. rollback of one process causes avalanche rollback of other processes to find a consistent recovery line. In coordinated check pointing, the processes coordinate their check pointing actions in such a way that the set of local checkpoints taken is consistent . Hence the performance of coordinated check pointing is better than that of Independent check pointing. However, the Coordinated check pointing algorithms available in the literature have not addressed about treatment of the lost messages and these algorithms suffer from high output commit latency In general, the message logging protocols are combined with independent checkpointing. The limitations of this strategy are i) High message logging overhead ii) Recovery is complex and doesn’t ensure protocol to be free from domino effect. iii) Checkpointing overhead is more. iv) Rollback is unbounded, because of which useful computation is lost. v) Storage overhead is high. To overcome the above limitations, a new coordinated checkpointing protocol combined with selective sender- based message logging is proposed. The term ‘selective’ implies that messages are logged only within a specified interval known as active interval, thereby reducing the message
  • 4. logging overhead. In our protocol, messages are kept in the volatile memory of the sender and flushed to stable storage only when taking a new checkpoint. This technique results substantial decrease in the message logging applications. overhead even for communication intensive
  • 5. Existing System : Checkpointing and message logging are the popular and generalpurpose tools for providing fault tolerance in distributed systems. The most of the coordinated checkpointing algorithms available in the literature have not addressed about treatment of the lost messages and these algorithms suffer from high output commit latency. Disadvantages: • Rollback recovery recovery was not treated. • Checkpoint storage was not used. Proposed System : To overcome the above limitations, we propose a new coordinated checkpointing protocol combined with selective senderbased message logging. The protocol is free from the problem of lost messages. The term ‘selective’ implies that messages are logged only within a specified interval known as active interval, thereby reducing message logging overhead. All processes take checkpoints at the end of their respective active intervals forming a consistent global state. Outside the active interval there is no checkpointing of process state. Advantages : • Rollback recovery is used • Checkpoint storage • Garbage Collection is used
  • 6. Modules: 1. Calculation of Active Interval. 2. Handling of lost messages. 3. Handling of orphan messages. 4. Handling of garbage collection. Module Description: Calculation of Active Interval In this module the coordinator send the prepare check point message to the client. After particular time duration the coordinator resend the message of take checkpoint. The time duration between the prepare checkpoint message and take checkpoint message is known as Active Time Interval. AI CP CT CP – Prepare Checkpoint CT – Take Checkpoint AI – Active Time Interval Handling of Lost Messages In this module, the messages sent during the active interval of a sender process under consideration and received after the active
  • 7. interval of a destination process under consideration are referred to as lost messages. It is also calculate the message sent count and message received count. It maintain in FIFO method. Handling of Orphan Message The messages sent after the active interval of a sender process under consideration and received before the active interval of a destination process under consideration are referred to as orphan messages. In case of any failure, processes rollback to their latest checkpoints, and replays the orphan/duplicate messages which should be ignored by the receiving process. Since, the receiver maintains the SSN count in its latest checkpoint, if the sender tries to replay any messages whose SSN count is less than or equal to receivers SSN; the receiver discards them as orphan messages. SSN –Sender Sequence Number Handling of Garbage Collection Garbage collection is the process of reclaiming the space allocated to the unwanted checkpoints by removing them from the stable storage. Whenever Pinitiator sends ‘prepare for checkpoint’ message to all other processes in the (n+1)th interval, the protocol will automatically delete the global consistent state formed in the (n1)th interval, as it is no longer required; thereby ensuring garbage collection.
  • 8. REQUIREMENTS Software requirements Operating System : Windows Programming Package : JAVA Tools : My Eclipse SDK : JDK1.5.0 Hardware Specification Processor : Pentium IV Speed : 1.5 GHz Main Memory : 256 MB Hard Disk Drive Floppy Drive : 40 GB : 1.44 inches