14
votes
Accepted
Measuring one way network latency
The following diagram, from a blog post I wrote, is a visual proof that it's impossible:
Notice how the packet arrival times on each side stay the same, even as the one-way latencies change (and even ...
13
votes
External consistency vs linearizability
External consistency doesn't have a fixed meaning. In this context, it has the meaning appearing in the very next sentence in the document:
For any two transactions, $T_1$ and $T_2$ (even if on ...
10
votes
Parallel vs Distributed Algorithms
An algorithm is parallel if there are several processes (tasks, threads, processors) working on it at the same time. Often the tasks run in the same address space, and can communicate/reference ...
8
votes
How do Functional Reactive Programming and the Actor model relate to each other?
I wanna point out how they are different from a practical point of view:
1) actors send messages to other actors, this message passing is described explicitly and imperatively.
For example:
...
8
votes
Difference between Lamport timestamps and Vector clocks
Summary:
Lamport timestamps and vector clocks are both logical clocks, and both provide a total ordering of events consistent with causality.
Vector clocks allow you to determine if any two ...
7
votes
Distributed vs parallel computing
Here is a recent paper that is worth reading:
Michel Raynal: "Parallel Computing vs. Distributed Computing: A Great Confusion?", Proc. Euro-Par 2015, doi:10.1007/978-3-319-27308-2_4
Abstract:
...
7
votes
Accepted
Who are the legislators of Paxos?
This is an educated guess of the transliterated names I could find in the Paxos paper. Most of these are people mentioned in the paper's references.
Λ˘ινχ∂: Lynch, N. - Legislator
Φισ∂ερ: Fischer, M. ...
7
votes
Happened-before and Causal order
As it has been pointed out by both @kramthegram and @Wandering Logic, event $a$ "happened before" event $b$ does not imply that $a$ has physically caused $b$ (to happen).
Such causality used in ...
7
votes
Parallel vs Distributed Algorithms
One important quantitative distinction is that communication often costs more in distributed computing than in parallel computing.
An important qualitative distinction is that distributed algorithms ...

D.W.♦
- 141k
7
votes
Accepted
What is the consensus algorithm that requires an odd number of nodes?
To my knowledge there is no quorum-based consensus algorithm that requires an odd number of nodes (processes). That's because such algorithms don't require a majority in the sense that a higher number ...
7
votes
Accepted
Why is Two-Phase Commit (2PC) blocking?
Is it because the cohorts don't employ timeout concept in 2PC?
Yes, in one case they can not use a timeout. It is described in the paper too (II.B.1):
The Two-Phase Commit Protocol goes to a
...
7
votes
Why are forks in the Blockchain eventually resolved?
If we simplify and assume that each miner randomly guesses a hash (as opposed to being more systematic) and we discretize time, say into minutes, then each minute each miner is hoping to "roll" the ...
6
votes
Accepted
Happened-before and Causal order
Note that causality is an undefined term in the paper. Lamport is using it in an informal explanation. He's assuming that could causally affect is an intuitive concept that will mean the same thing ...
6
votes
Accepted
Linearizability and Serializability in context of Software Transactional Memory
About your definitions:
The basic idea of Serializability ($\textsf{SR}$) is correct. However, it does not have to constrain itself on the your assumption that ...
6
votes
Accepted
Does location transparency imply access transparency?
There is certainly a strong dependency between these two properties and many examples will point to this conclusion. Think about an API that needs to use the same operations to access both local and ...
6
votes
Consensus problem of distributed systems
The FLP theorem [1] says that
It is impossible for a set of processors in an asynchronous distributed system to agree on a binary value, even if only a single processor is subject to an unannounced ...
6
votes
Parallel vs Distributed Algorithms
The terms can mean almost anything, but I will try to present here one way in which the terms "parallel algorithms" and "distributed algorithms" are understood. Here we interpret &...
6
votes
Accepted
Are vector clocks useful in centralized systems?
No, there's no need for a vector clock in a centralized system.
A vector clock uses a $N$-vector of timestamps, where $N$ is the number of computers in the distributed system and the $i$th component ...

D.W.♦
- 141k
6
votes
Accepted
Why $e(C_i) = D_i$ is correct assumption? (FLP Impossibility 1985 - Lemma 3)
The paper says
By an easy induction, there exist neighbors $C_0, C_1 \in \mathscr{C}$ such that $D_i = e(C_i)$ is $i$-valent, $i = 0, 1$
Here is a proof:
The set of configurations forms the nodes ...
6
votes
Accepted
What is the difference between Consensus and Leader Election problems?
This is not a matter of terminology: they're related, but different concepts.
A consensus algorithm is one that allows all the participants in a distributed system to choose a value from a set in ...
6
votes
Accepted
Why aren’t distributed computing and/or GPU considered non-deterministic Turing machines if they can run multiple jobs at once?
In parallel computing, the threads can talk to each other and exchange information during the computation. In nondeterminism, the only "communication" between threads is that we compute the OR of all ...
6
votes
Accepted
Confused between 2 phase locking and 2 phase commit
These are two different things that have two different goals.
The two-phase locking protocol is designed to guarantee serializability for transactions that access concurrently a single, centralized ...
6
votes
Accepted
Algorithm notation
⋃ is the n-ary union operator, similar to how ∑ is the n-ary addition operator.
So, in the same way that ∑j someExpressionDependingOnJ means "add the values of all the different instances of ...
5
votes
Why can't every computation be expressed in the style of MapReduce?
In MapReduce you take a big computation and split it up into many small computations that are done in parallel and that don't depend on one another. That way you can use many cores and if one ...
5
votes
Accepted
How to resize a large, distributed hash table?
Yes, after storing many items in a distributed hash table spread over a hundred computers, if hypothetically we used the sort of hash function popular for in-RAM hash table, adding another computer ...
5
votes
How do you compute the time complexity of distributed algorithms?
Time complexity is always measured relative to some model. For example, the $\Theta(n \log n)$ bound on sorting is the number of comparisons performed. If comparisons are not constant time, then the ...
5
votes
Difference between Lamport timestamps and Vector clocks
Although similar they have different purposes: version vectors can distinguish whether two operations are concurrent or one is causally dependent on the other; Lamport timestamps enforces total ...
4
votes
Distributed vs parallel computing
In the Introduction section of the book [1], the authors provide another perspective (different from the ones in other answers) on the comparison between distributed computing and parallel computing.
...
4
votes
Accepted
How are lamport clocks implemented in real world distributed systems?
Amazon's Dynamo [1] is a distributed storage system that uses vector clocks "to capture causality between different versions of the same object". Section 4.4 of the paper describes how exactly Lamport ...
4
votes
Accepted
What is the difference between consensus and mutual exclusion in Distributed Systems?
If you have a consensus mechanism, then you can achieve consensus on who owns a critical section, and thus solve mutual exclusion. This is exactly what happens in, say, single-master distributed ...
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