1. Distributed databases face additional problems with concurrency control and recovery due to the presence of multiple data copies, site failures, and communication link failures. The two-phase commit protocol is often used to handle distributed commit.
2. Techniques for concurrency control and recovery in distributed databases include choosing a distinguished copy, primary site, primary copy, and voting methods. Backup sites are also used to improve reliability when the primary site fails.
3. When a coordinator site fails, a new one must be elected, either by using the backup site or through a voting process among the remaining sites. The two-phase commit protocol helps ensure correctness during distributed transaction commit.
this presentation explains chapter 3 of the distributed operating system book for Andrew S.tanenbaum in addition to other related topics in the synchronization of the distributed operating system
This is the Complete Information about Data Replication you need, i am focused on these topics:
What is replication?
Who use it?
Types ?
Implementation Methods?
Mutual exclusion:
Concurrency control property which is introduce to prevent race.
Distributed transaction:
Transaction that span multiple database servers,as well are connected by a network.
this presentation explains chapter 3 of the distributed operating system book for Andrew S.tanenbaum in addition to other related topics in the synchronization of the distributed operating system
This is the Complete Information about Data Replication you need, i am focused on these topics:
What is replication?
Who use it?
Types ?
Implementation Methods?
Mutual exclusion:
Concurrency control property which is introduce to prevent race.
Distributed transaction:
Transaction that span multiple database servers,as well are connected by a network.
Distributed Database Architecture
Database Links
Distributed Database Administration
Transaction Processing in a Distributed System
Distributed Database Application Development
Character Set Support for Distributed Environments
Distributed Deadlock & Recovery Deadlock concept, Deadlock in Centralized systems, Deadlock in Distributed Systems – Detection, Prevention, Avoidance, Wait-Die Algorithm, Wound-Wait algorithm Recovery in DBMS - Types of Failure, Methods to control failure, Different techniques of recoverability, Write- Ahead logging Protocol, Advanced recovery techniques- Shadow Paging, Fuzzy checkpoint, ARIES, RAID levels, Two Phase and Three Phase commit protocols
Presentation was delivered in a fault tolerance class which talk about the achieving fault tolerance in databases by making use of the replication.Different commercial databases were studied and looked into the approaches they took for replication.Then based on the study an architecture was suggested for military database design using an asynchronous approach and making use of the cluster patterns.
Message Passing, Remote Procedure Calls and Distributed Shared Memory as Com...Sehrish Asif
Message Passing, Remote Procedure Calls and
Distributed Shared Memory as Communication Paradigms for Distributed Systems & Remote Procedure Call Implementation Using Distributed Algorithms
Ideally, the distribution in a distributed database system should be transparent to the user, whose interaction with the database should be similar to that provided by a single, centralized database.
Forms of transparency that are desirable are:
Data distribution transparency.
fragmentation transparency.
location transparency.
replication transparency.
THE TOPIC IS TRANSFORMING CENTRALIZED DATABASE INTO DISTRIBUTED DATABASE the best power point presentation. I explain all the step of centralize database and distributed database with diagram please learn and send to other people.
thank you.....
The Power of Determinism in Database SystemsDaniel Abadi
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Event-Driven Microservices architecture has gained a lot of attention recently. The trend in the industry is to move away from Monolithic applications to Microservices to innovate faster. While Microservices have their benefits, implementing them is hard. This talk focuses on the challenges faced and how to solve them.
It covers topics like using Domain Driven Design to break functionality into small parts. Various communication patterns among Microservices are also discussed.
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A recent trend in computer systems is to distribute computation among several processors.
In contrast to the tightly coupled systems, the processors do not share memory or a clock.
Instead, each processor has its own memory and clock.
The processors communicate with one another through various communication lines
These systems are usually referred to as loosely coupled systems, or distributed systems.
The processors in a distributed system may vary in size and function.
They may include small microprocessors, workstations, minicomputers, and large general-purpose computer systems.
These processors are referred to by a number of different names, such as sites, nodes, computers, and so on, depending on the context in which they are mentioned.
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Distributed Database Architecture
Database Links
Distributed Database Administration
Transaction Processing in a Distributed System
Distributed Database Application Development
Character Set Support for Distributed Environments
Distributed Deadlock & Recovery Deadlock concept, Deadlock in Centralized systems, Deadlock in Distributed Systems – Detection, Prevention, Avoidance, Wait-Die Algorithm, Wound-Wait algorithm Recovery in DBMS - Types of Failure, Methods to control failure, Different techniques of recoverability, Write- Ahead logging Protocol, Advanced recovery techniques- Shadow Paging, Fuzzy checkpoint, ARIES, RAID levels, Two Phase and Three Phase commit protocols
Presentation was delivered in a fault tolerance class which talk about the achieving fault tolerance in databases by making use of the replication.Different commercial databases were studied and looked into the approaches they took for replication.Then based on the study an architecture was suggested for military database design using an asynchronous approach and making use of the cluster patterns.
Message Passing, Remote Procedure Calls and Distributed Shared Memory as Com...Sehrish Asif
Message Passing, Remote Procedure Calls and
Distributed Shared Memory as Communication Paradigms for Distributed Systems & Remote Procedure Call Implementation Using Distributed Algorithms
Ideally, the distribution in a distributed database system should be transparent to the user, whose interaction with the database should be similar to that provided by a single, centralized database.
Forms of transparency that are desirable are:
Data distribution transparency.
fragmentation transparency.
location transparency.
replication transparency.
THE TOPIC IS TRANSFORMING CENTRALIZED DATABASE INTO DISTRIBUTED DATABASE the best power point presentation. I explain all the step of centralize database and distributed database with diagram please learn and send to other people.
thank you.....
The Power of Determinism in Database SystemsDaniel Abadi
Slides for Daniel Abadi talk at UC Berkeley on 10/22/2014. Discusses the problems with traditional database systems, especially around modularity and horizontal scalability, and shows how deterministic database systems can help.
Event-Driven Microservices architecture has gained a lot of attention recently. The trend in the industry is to move away from Monolithic applications to Microservices to innovate faster. While Microservices have their benefits, implementing them is hard. This talk focuses on the challenges faced and how to solve them.
It covers topics like using Domain Driven Design to break functionality into small parts. Various communication patterns among Microservices are also discussed.
One major drawback is the problem of distributed data management, as each Microservice has its own database. Event-Driven Architecture enables a way to make microservices work together and the talks show how to use architectural patterns like Event Sourcing & CQRS to implement them.
Another implementation challenge is to manage transactions that update entities owned by multiple services in an eventually consistent fashion. This challenge is solved using sagas, which can be thought of as Long running transactions that use compensating actions to handle failures.
The objective of the talk is to show how to implement highly distributed Event Driven Microservices architecture that are scalable and easy to maintain.
Operating system 09 distributed operating systemVaibhav Khanna
A recent trend in computer systems is to distribute computation among several processors.
In contrast to the tightly coupled systems, the processors do not share memory or a clock.
Instead, each processor has its own memory and clock.
The processors communicate with one another through various communication lines
These systems are usually referred to as loosely coupled systems, or distributed systems.
The processors in a distributed system may vary in size and function.
They may include small microprocessors, workstations, minicomputers, and large general-purpose computer systems.
These processors are referred to by a number of different names, such as sites, nodes, computers, and so on, depending on the context in which they are mentioned.
Similar to DDB_lec_05_Concurrency_Control.pdf (20)
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DDB_lec_05_Concurrency_Control.pdf
1. Lec. 05 : Overview of
Concurrency Control and Recovery
in Distributed Databases
Dr. Alaa eldin Abdullah Yassin
2. Outlines
• Problems with DDB because concurrency control and
recovery.
• Techniques deal with recovery and concurrency control in
DDBMSs.
• Choosing a New Coordinator.
• Distributed Concurrency Control Based on Voting.
• Distributed Recovery.
3. Problemsarise withDDBbecauseconcurrency
control and recovery
• For concurrency control and recovery purposes,
numerous problems arise in a distributed DBMS
environment that are not encountered in a centralized
DBMS environment:
• Dealing with multiple copies of the data items.
• Failure of individual sites.
• Failure of communication links.
• Distributed commit.
• Distributed deadlock.
4. Dealing with multiple copies of
the data items
• The concurrency control method is responsible for:
• maintaining consistency among these copies.
• The recovery method is responsible for:
• making a copy consistent with other copies if the site on
which the copy is stored fails and recovers later.
5. Failure of individual sites
• The DDBMS should continue to operate with its running sites,
if possible, when one or more individual sites fail.
• When a site recovers, its local database must be brought up-
to-date with the rest of the sites before it rejoins the system
6. Failure of communication links
• The system must be able to deal with the failure of one or
more of the communication links that connect the sites.
• An extreme case of this problem is that network partitioning*
may occur.
• This breaks up the sites into two or more partitions, where the
sites within each partition can communicate only with one
another and not with sites in other partitions.
7. Distributed commit(perform)
• Problems can arise with committing a transaction that is
accessing databases stored on multiple sites if some sites fail
during the commit process.
• The two-phase commit protocol is often used to deal with this
problem.
8. Distributed deadlock
• Deadlock may occur among several sites, so techniques for
dealing with deadlocks must be extended to take this into
account.
• What is Distributed Deadlock?
• Distributed deadlocks can occur when distributed transactions or
concurrency control are utilized in distributed systems.
• How can we identify Deadlock in DDB?
• It may be identified via a distributed technique like edge chasing.
• or by creating a global wait-for graph (WFG) from local wait-for
graphs at a deadlock detector.
10. DistinguishedCopyof a Data Item
• Distributed Concurrency Control Based on a Distinguished
Copy of a Data Item:
• The idea is to designate a particular copy of each data item as a
distinguished copy.
• The locks for this data item are associated with the distinguished
copy, and all locking and unlocking requests are sent to the site
that contains that copy.
• Choosing the distinguished copies?
• A number of different methods are based on this idea, but they
differ in their method of choosing the distinguished copies.
• primary site technique.
• primary copy method.
11. 1. Primary Site Technique.
• In this method, a single primary site is designated to be the
coordinator site for all database items.
• Hence, all locks are kept at that site, and all requests for locking or
unlocking are sent there.
• This method is thus an extension of the centralized locking approach.
• For example, if all transactions follow the two-phase locking protocol,
serializability is guaranteed.
• The advantage of this approach
• The advantage of this approach is that it is a simple extension of the
centralized approach and thus is not overly complex.
• The disadvantages of this approach?
1. all locking requests are sent to a single site, possibly overloading
that site and causing a system bottleneck.
2. A second disadvantage is that failure of the primary site paralyzes
the system, since all locking information is kept at that site. This can
limit system reliability and availability.
12. Primary Site Technique…
• Although all locks are accessed at the primary site, the items
themselves can be accessed at any site at which they reside.
• For example, once a transaction obtains a Read_lock on a data
item from the primary site, it can access any copy of that data
item.
• However, once a transaction obtains a Write_lock and updates a
data item, the DDBMS is responsible for updating all copies of
the data item before releasing the lock.
13. 2. Primary Site with Backup Site
• This approach addresses the second disadvantage of the
primary site method by designating a second site to be a
backup site. All locking information is maintained at both the
primary and the backup sites.
• In case of primary site failure, the backup site takes over as the
primary site, and a new backup site is chosen.
• This simplifies the process of recovery from failure of the primary
site, since the backup site takes over and processing can resume
after a new backup site is chosen and the lock status information is
copied to that site.
• The disadvantages of this approach?
• The problem of the primary and backup sites becoming overloaded
with requests and slowing down the system remains
undiminished, because all lock requests and granting of locks must
be recorded at both the primary and the backup sites before a
response is sent to the requesting transaction.
14. 3. Primary Copy Technique
• Primary Copy Technique. This method attempts to distribute
the load of lock coordination among various sites by having
the distinguished copies of different data items stored at
different sites.
• Failure of one site affects any transactions that are accessing
locks on items whose primary copies reside at that site, but
other transactions are not affected.
• This method can also use backup sites to enhance reliability
and availability.
15. Choosing a New Coordinator
• Choosing a New Coordinator Site in Case of Failure. Whenever
a coordinator site fails in any of the preceding techniques, the
sites that are still running must choose a new coordinator.
1. In the case of the primary site approach with no backup site:
• all executing transactions must be aborted and restarted in a tedious –
boring - recovery process.
• Part of the recovery process involves choosing a new primary site and
creating a lock manager process and a record of all lock information at
that site.
2. For methods that use backup sites:
• transaction processing is suspended while the backup site is
designated as the new primary site.
• and a new backup site is chosen and is sent copies of all the locking
information from the new primary site.
16. Choosing a New Coordinator…
• If a backup site X is about to become the new primary site, X
can choose the new backup site from among the system’s
running sites.
• However, if no backup site existed, or if both the primary and
the backup sites are down, a process called election can be
used to choose the new coordinator site.
• Election process of the new coordinator:
• In this process, any site Y that attempts to communicate with the
coordinator site repeatedly and fails to do so can assume that the
coordinator is down and can start the election process by sending
a message to all running sites proposing that Y become the new
coordinator.
• As soon as Y receives a majority of yes votes, Y can declare that it
is the new coordinator.
• The election algorithm?
17. Distributed Concurrency Control
Based on Voting
• In the voting method, there is no distinguished copy; rather, a lock
request is sent to all sites that includes a copy of the data item.
• Each copy maintains its own lock and can grant or deny the request for it.
• If a transaction that requests a lock is granted that lock by a majority of
the copies, it holds the lock and informs all copies that it has been
granted the lock.
• If a transaction does not receive a majority of votes granting it a lock
within a certain time-out period, it cancels its request and informs all
sites of the cancellation.
• Voting or distinguished method? And why?
• Voting method; because the responsibility for a decision resides with
all the sites involved.
• Voting method disadvantages?
• has higher message traffic among sites than do the distinguished copy
methods.
• possible site failures during the voting process
18. Distributed Recovery
• In some cases it is difficult even to determine whether a site is down
without exchanging numerous messages with other sites.
• For example, suppose that site X sends a message to site Y and
expects a response from Y but does not receive it. There are several
possible explanations:
1. The message was not delivered to Y because of communication
failure.
2. Site Y is down and could not respond.
3. Site Y is running and sent a response, but the response was not
delivered.
• Without additional information or the sending of additional
messages, it is difficult to determine what actually happened.
19. Distributed Recovery…
• Another problem with distributed recovery is distributed commit.
• When a transaction is updating data at several sites, it cannot
commit until it is sure that the effect of the transaction on every site
cannot be lost.
• This means that every site must first have recorded the local effects
of the transactions permanently in the local site log on disk.
• The two-phase commit protocol is often used to ensure the
correctness of distributed commit.