utilizing more than one computer, connected to each other with a communication link to accomplish a common task.
I'm working on a project with Node.js that involves a server (for the sake of simplicity let's imagine this …
node.js distributed-computing multiserverWe're currently looking for the most suitable solution for accessing critical data on a distributed system, and we're considering whether …
caching architecture distributed-computing distributed-cachingI am surveying Google Dataflow and Apache Spark to decide which one is more suitable solution for our bigdata analysis …
apache-spark google-cloud-dataflow distributed-computing google-cloud-mlTwo points I don’t understand about RDBMS being CA in CAP Theorem : 1) It says RDBMS is not Partition Tolerant …
distributed-computing rdbms distributed-system cap-theorem nosqlI've found different zookeeper definitions across multiple resources. Maybe some of them are taken out of context, but look at …
redis apache-zookeeper distributed-computing hazelcastI recently had a play around with Hadoop and was impressed with it's scheduling, management, and reporting of MapReduce jobs. …
java hadoop distributed-computing job-schedulingI am trying to understand the difference between paxos and two phase commit as means to reach consensus among multiple …
database distributed-computing paxosI'm not sure why the press in general says that Google's TrueTime API is hard to replicate (Wired, Slashdot, etc). …
c time google-cloud-platform distributed-computing google-cloud-spannerI was reading about Hadoop and how fault tolerant it is. I read the HDFS and read how failure of …
mapreduce distributed-computing fault-toleranceI am working with Spark 2.0, the job starts by sorting the input data and storing its output on HDFS. I …
memory apache-spark out-of-memory distributed-computing apache-spark-2.0