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University of Ruykyus
Faculty of Engineering and Science
Modeling of Multiversion Concurrency Control
System Using Event-B
Raghuraj Suryavanshi and Divakar Yadav
By:J.A.Baktash
Abstract
Concurrency control in a database system involves the activity of controlling the relative
order of conflicting operations, thereby ensuring database consistency. Multiversion
concurrency control is timestamp based protocol that can be used to schedule the operations
to maintain the consistency of the databases. In this protocol each write on a data item
produces a new copy (or version) of that data item while retaining the old version. A
systematic approach to specification is essential for the production of any substantial system
description. Formal methods are mathematical technique that provide systematic approach for
building and verification of model. We have used Event-B as a formal technique for
construction of our model. Event-B provides complete framework by rigorous description of
problem at abstract level and discharge of proof obligations arising due to consistency
checking. In this paper, we outline formal construction of model of multiversion concurrency
control scheme for database transactions using Event-B. Index Terms Database system,
Formal Method, Transaction, Event-B, Verification, Multiversion.
Introduction
ONCURRENCY control is the activity of coordinating concurrent access to a
database while preserving the consistency of the data. A good concurrency control
mechanism should permit parallel execution of transactions to achieve high degree
of concurrency. The concurrency control techniques are divided into two broad
categories: Optimistic concurrency control and Pessimistic concurrency control .
Optimistic algorithms assumes that conflict is rare therefore, it delay the
synchronization of transaction until transactions are near to their completion,
whereas Pessimistic algorithms synchronize the concurrent execution of
transactions early in their execution life cycles. Pessimistic algorithm are further
categorized into lock based and timestamp based algorithm
Modeling Approach
A functional specification of system describes its behavior.
More specifically, it describes the interactions that the system offer to its user. A
specification contains significant information about the system. The difficulties in
specification is managing the large volume of detailed system that is required to
formulate an accurate specification. A systematic approach to specification is
essential for the production of any substantial system description. The B Method
Event-B
Event-B is a formal method for system level modelling and analysis. Key features
of Event-B are the use of set theory as a modelling notation, the use of refinement
to represent systems at different abstraction levels and the use of mathematical
proof to verify consistency between refinement levels.
The Rodin Platform is an Eclipse based IDE for Event-B that provides effective
support for refinement and mathematical proof. The platform is open source,
contributes to the Eclipse framework and is further extendable with plugins.
Development of Rodin is currently supported by the European Union ICT Project
ADVANCE (2011 to 2014). Originally Rodin development was funded by the
European Union Projects DEPLOY (2008 to 2012). And RODIN (2004 to 2007)
Event-B is an evolution of B-Method developed by Jean-Raymond Abrial.
Event-B notations are set theoretic notations. The syntax and detail description of notations are
outlined in . Some of the notation are explained here.
Let A and B be two sets, then the relational constructor (↔) defines the set of relations between A
and B as :
A ↔ B = P(A × B)
where × is cartesian product of A and B.
The Relational image R[U] where U⊆A is defined as:
R[U] = {b | ∃a. a → b ∈ R ∧ a ∈ U}
A function is a relation with certain restrictions. The function may be a partial function (→7 ) or a
total function(→). A partial function from set A to B (A →7 B) is a relation which relates an element
in A to at most one element in B. A total function from set A to B (A→B) is a partial function where
dom(f)=A i.e. each element of set A is related to exactly one element of set B. Given f ∈ A →7 B and
a ∈ dom(f), f(a) represents the unique value that a is mapped to by f.
System Model
We have considered multiversion concurrency control systemto coordinate the
concurrent execution of transaction. Each time when a transaction is submitted to
the system a new time stamp is assigned to it
1)Submit Transaction: When a fresh transaction is submitted to the system it creates an
entry of transaction and the objects needed by it. This event also assigns a new
timestamp value to the submitted transaction.
2) Read Operation: If the transaction wants to read the value of data item then it
selects that version of data item which has maximum writ timestamp value that is
less than transaction time stamp. After performing read operation the the read
timestamp of that version is set to as largest of current read timestamp and
transactiontimestamp.
Cont..........
3) Write Operation: The write operations are performed by update transaction. Upon
activation of this event a version of data item is selected that has maximum write
timestamp value and less than the transaction time stamp
4) Abort Operation: This event models the abortion of a update transaction. An update
transaction is aborted when the selected version has already been read by some
other transaction whose time stamp is greater than transaction-time stamp. In this
case read-timestamp of selected version will be greater than transaction time stamp.
Thanks

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Modeling of multiversion concurrency control

  • 1. University of Ruykyus Faculty of Engineering and Science Modeling of Multiversion Concurrency Control System Using Event-B Raghuraj Suryavanshi and Divakar Yadav By:J.A.Baktash
  • 2. Abstract Concurrency control in a database system involves the activity of controlling the relative order of conflicting operations, thereby ensuring database consistency. Multiversion concurrency control is timestamp based protocol that can be used to schedule the operations to maintain the consistency of the databases. In this protocol each write on a data item produces a new copy (or version) of that data item while retaining the old version. A systematic approach to specification is essential for the production of any substantial system description. Formal methods are mathematical technique that provide systematic approach for building and verification of model. We have used Event-B as a formal technique for construction of our model. Event-B provides complete framework by rigorous description of problem at abstract level and discharge of proof obligations arising due to consistency checking. In this paper, we outline formal construction of model of multiversion concurrency control scheme for database transactions using Event-B. Index Terms Database system, Formal Method, Transaction, Event-B, Verification, Multiversion.
  • 3. Introduction ONCURRENCY control is the activity of coordinating concurrent access to a database while preserving the consistency of the data. A good concurrency control mechanism should permit parallel execution of transactions to achieve high degree of concurrency. The concurrency control techniques are divided into two broad categories: Optimistic concurrency control and Pessimistic concurrency control . Optimistic algorithms assumes that conflict is rare therefore, it delay the synchronization of transaction until transactions are near to their completion, whereas Pessimistic algorithms synchronize the concurrent execution of transactions early in their execution life cycles. Pessimistic algorithm are further categorized into lock based and timestamp based algorithm
  • 4. Modeling Approach A functional specification of system describes its behavior. More specifically, it describes the interactions that the system offer to its user. A specification contains significant information about the system. The difficulties in specification is managing the large volume of detailed system that is required to formulate an accurate specification. A systematic approach to specification is essential for the production of any substantial system description. The B Method
  • 5. Event-B Event-B is a formal method for system level modelling and analysis. Key features of Event-B are the use of set theory as a modelling notation, the use of refinement to represent systems at different abstraction levels and the use of mathematical proof to verify consistency between refinement levels. The Rodin Platform is an Eclipse based IDE for Event-B that provides effective support for refinement and mathematical proof. The platform is open source, contributes to the Eclipse framework and is further extendable with plugins. Development of Rodin is currently supported by the European Union ICT Project ADVANCE (2011 to 2014). Originally Rodin development was funded by the European Union Projects DEPLOY (2008 to 2012). And RODIN (2004 to 2007) Event-B is an evolution of B-Method developed by Jean-Raymond Abrial.
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  • 8. Event-B notations are set theoretic notations. The syntax and detail description of notations are outlined in . Some of the notation are explained here. Let A and B be two sets, then the relational constructor (↔) defines the set of relations between A and B as : A ↔ B = P(A × B) where × is cartesian product of A and B. The Relational image R[U] where U⊆A is defined as: R[U] = {b | ∃a. a → b ∈ R ∧ a ∈ U} A function is a relation with certain restrictions. The function may be a partial function (→7 ) or a total function(→). A partial function from set A to B (A →7 B) is a relation which relates an element in A to at most one element in B. A total function from set A to B (A→B) is a partial function where dom(f)=A i.e. each element of set A is related to exactly one element of set B. Given f ∈ A →7 B and a ∈ dom(f), f(a) represents the unique value that a is mapped to by f.
  • 9. System Model We have considered multiversion concurrency control systemto coordinate the concurrent execution of transaction. Each time when a transaction is submitted to the system a new time stamp is assigned to it 1)Submit Transaction: When a fresh transaction is submitted to the system it creates an entry of transaction and the objects needed by it. This event also assigns a new timestamp value to the submitted transaction. 2) Read Operation: If the transaction wants to read the value of data item then it selects that version of data item which has maximum writ timestamp value that is less than transaction time stamp. After performing read operation the the read timestamp of that version is set to as largest of current read timestamp and transactiontimestamp.
  • 10. Cont.......... 3) Write Operation: The write operations are performed by update transaction. Upon activation of this event a version of data item is selected that has maximum write timestamp value and less than the transaction time stamp 4) Abort Operation: This event models the abortion of a update transaction. An update transaction is aborted when the selected version has already been read by some other transaction whose time stamp is greater than transaction-time stamp. In this case read-timestamp of selected version will be greater than transaction time stamp.
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