What is the solution to the two generals problem?

The story of the Two Generals’ Problem General B is in the valley to the east. The only way you can defeat the enemy is if your soldiers and General B’s soldiers make a coordinated attack from opposite sides of the valley.

What is the Byzantine general problem in computer science?

The Byzantine Generals Problem is a term etched from the computer science description of a situation where involved parties must agree on a single strategy in order to avoid complete failure, but where some of the involved parties are corrupt and disseminating false information or are otherwise unreliable.

Is the two generals problem unsolvable?

The Two Generals’ Problem is a classic unsolvable problem in distributed systems that concerns reaching consensus over a lossy network.

Is the two generals problem solvable?

In the experiment, two generals are only able to communicate with one another by sending a messenger through enemy territory. The Two Generals’ Problem was the first computer communication problem to be proved to be unsolvable.

Is Byzantine general problem solvable?

This situation can be expressed abstractly in terms of a group of generals of the Byzantine army camped with their troops around an enemy city. With unforgeable written messages, the problem is solvable for any number of generals and possible traitors.

What is Byzantine fault explain it with simple example?

A Byzantine fault (also Byzantine generals problem, interactive consistency, source congruency, error avalanche, Byzantine agreement problem, and Byzantine failure) is a condition of a computer system, particularly distributed computing systems, where components may fail and there is imperfect information on whether a …

What is the relevance of the two army problem to releasing connections?

To see the relevance of the two-army problem to releasing connections, just substitute “disconnect” for “attack.” If neither side is prepared to disconnect until it is convinced that the other side is prepared to disconnect too, the discon- nection will never happen.

What is two army problem in computer network?

Definition. Two armies, each led by a different general, are preparing to attack a fortified city. They must thus communicate with each other to decide on a time to attack and to agree to attack at that time, and each general must know that the other general knows that they have agreed to the attack plan.

What is fault-tolerance in computer science?

Fault tolerance is a process that enables an operating system to respond to a failure in hardware or software. This fault-tolerance definition refers to the system’s ability to continue operating despite failures or malfunctions.

How do you solve the two Generals’ Problem?

A pragmatic approach to dealing with the Two Generals’ Problem is to use schemes that accept the uncertainty of the communications channel and not attempt to eliminate it, but rather mitigate it to an acceptable degree. For example, the first general could send 100 messengers, anticipating that the probability of all being captured is low.

What is the two Generals’ Paradox?

A key concept in epistemic logic, this problem highlights the importance of common knowledge. Some authors also refer to this as the Two Generals’ Paradox, the Two Armies Problem, or the Coordinated Attack Problem.

What are the positions of the armies in the two Generals’ Problem?

Positions of the armies. Armies A1 and A2 need to communicate but their messengers may be captured by army B. In computing, the Two Generals’ Problem is a thought experiment meant to illustrate the pitfalls and design challenges of attempting to coordinate an action by communicating over an unreliable link.

Is the two generals’ problem the same as the Byzantine Generals’ Problem?

First of all, to avoid any confusion, we need to remember that the Two Generals’ Problem, although related to the Byzantine Generals’ Problem is not the same. Byzantine Generals’ Problem is a more general version of the Two Generals’ Problem and it’s often discussed when talking about distributed systems, fault tolerance and blockchain.