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
Follow LTYARN
Other Useful Business Software
MongoDB Atlas runs apps anywhere
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of LTYARN!