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Life is not fair, but with a little help, existing large- scale data processing systems (e.g., YARN, Spark, Dryad) can be, ensuring resource sharing between users. However, past work on fair sharing considered memoryless fairness, an instantious fair share without historical information considered. When it comes to cloud computing (i.e., pay-as-you-use computing), it fails to satisfy the service-as-you-pay fairness (i.e., the total service that each user enjoys should be proportional to her payment) from a long-term view. Long-Term Resource Fairness (LTRF) generalizes max-min fairness for this case. LTYARN implements LTRF for YARN in cloud computing
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