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…It may seem intuitive, but complexity arises about how numerous machines should work together (see below). No global clock In a distributed system, every participant, or machine, has equal weight in deciding what is right or wrong. There is no single source of truth in a distributed system. For instance, Machine A may believe now is 11:13 a.m., while Machine B may believe it is 11:14 a.m. Since network delay may further complicate the situation, even if two machines have the same time locally,…
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…It may seem intuitive, but complexity arises about how numerous machines should work together (see below). No global clock In a distributed system, every participant, or machine, has equal weight in deciding what is right or wrong. There is no single source of truth in a distributed system. For instance, Machine A may believe now is 11:13 a.m., while Machine B may believe it is 11:14 a.m. Since network delay may further complicate the situation, even if two machines have the same time locally,…
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…It may seem intuitive, but complexity arises about how numerous machines should work together (see below). No global clock In a distributed system, every participant, or machine, has equal weight in deciding what is right or wrong. There is no single source of truth in a distributed system. For instance, Machine A may believe now is 11:13 a.m., while Machine B may believe it is 11:14 a.m. Since network delay may further complicate the situation, even if two machines have the same time locally,…
Learn More
…It may seem intuitive, but complexity arises about how numerous machines should work together (see below). No global clock In a distributed system, every participant, or machine, has equal weight in deciding what is right or wrong. There is no single source of truth in a distributed system. For instance, Machine A may believe now is 11:13 a.m., while Machine B may believe it is 11:14 a.m. Since network delay may further complicate the situation, even if two machines have the same time locally,…
Learn More
…It may seem intuitive, but complexity arises about how numerous machines should work together (see below). No global clock In a distributed system, every participant, or machine, has equal weight in deciding what is right or wrong. There is no single source of truth in a distributed system. For instance, Machine A may believe now is 11:13 a.m., while Machine B may believe it is 11:14 a.m. Since network delay may further complicate the situation, even if two machines have the same time locally,…
Learn More
…It may seem intuitive, but complexity arises about how numerous machines should work together (see below). No global clock In a distributed system, every participant, or machine, has equal weight in deciding what is right or wrong. There is no single source of truth in a distributed system. For instance, Machine A may believe now is 11:13 a.m., while Machine B may believe it is 11:14 a.m. Since network delay may further complicate the situation, even if two machines have the same time locally,…
Learn More
…It may seem intuitive, but complexity arises about how numerous machines should work together (see below). No global clock In a distributed system, every participant, or machine, has equal weight in deciding what is right or wrong. There is no single source of truth in a distributed system. For instance, Machine A may believe now is 11:13 a.m., while Machine B may believe it is 11:14 a.m. Since network delay may further complicate the situation, even if two machines have the same time locally,…
Learn More
…It may seem intuitive, but complexity arises about how numerous machines should work together (see below). No global clock In a distributed system, every participant, or machine, has equal weight in deciding what is right or wrong. There is no single source of truth in a distributed system. For instance, Machine A may believe now is 11:13 a.m., while Machine B may believe it is 11:14 a.m. Since network delay may further complicate the situation, even if two machines have the same time locally,…
Learn More
…It may seem intuitive, but complexity arises about how numerous machines should work together (see below). No global clock In a distributed system, every participant, or machine, has equal weight in deciding what is right or wrong. There is no single source of truth in a distributed system. For instance, Machine A may believe now is 11:13 a.m., while Machine B may believe it is 11:14 a.m. Since network delay may further complicate the situation, even if two machines have the same time locally,…
Learn More
…It may seem intuitive, but complexity arises about how numerous machines should work together (see below). No global clock In a distributed system, every participant, or machine, has equal weight in deciding what is right or wrong. There is no single source of truth in a distributed system. For instance, Machine A may believe now is 11:13 a.m., while Machine B may believe it is 11:14 a.m. Since network delay may further complicate the situation, even if two machines have the same time locally,…
Learn More