**As awarded by Money Magazine *Average Annual Percentage Rate Comparison rates are based on a $150,000 loan for 25 years. This Comparison Rate applies only to the example or examples given. Different amounts and terms will result in different Comparison Rates. Costs such as redraw fees or early repayment fees, and costs savings such as fee waivers, are not included in the Comparison Rate but may influence the cost of the loan. Govt charges may apply. Interest rates shown on this page are current as at 26 June 2017 and are subject to change.
MapReduce achieves reliability by parceling out a number of operations on the set of data to each node in the network. Each node is expected to report back periodically with completed work and status updates. If a node falls silent for longer than that interval, the master node (similar to the master server in the Google File System ) records the node as dead and sends out the node's assigned work to other nodes. Individual operations use atomic operations for naming file outputs as a check to ensure that there are not parallel conflicting threads running. When files are renamed, it is possible to also copy them to another name in addition to the name of the task (allowing for side-effects ).