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Failures Paper Pos/355

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POS/355

March 11, 2013
Bhupinder Singh

Failures Paper

The distributed systems are unique in that it’s executions of the application of the protocols are to coordinate on multiple processes on the network, they have their own local memory and it communicates in entities with each of them using a massage passing mechanism. They also have their own personal users to them that they can use for personal uses. What are shared across the distributed systems are the data, processor, and the memory that can achieve those tasks when processing information. The distributed system has features to help achieve in in solving problems and issues with software and programs, when being useful with the distributed system is not very easy; its capabilities are the components, than just the stand alone systems that are sometimes not as reliable. Because of the complexities of interactions between running the distributed systems, it must have special characteristics like the fault tolerant; this can recover from component failures without performing incorrect actions. Recoverable is where failed components can restart and then rejoin the system after the cause failure has been repaired. The failure on a distributed system can result in anything from easily repairable errors to a catastrophic meltdown. Fault tolerance deals with making the system function in the presence of defaults. Faults can occur in any one of components. In this paper we will look at the different faults in a system and the solutions that can help. Network Failures Network failures keep the processors from communicating with each other. Two problems could arise from this; one way is the links and the networks partitions. The links cause problems similar to processor slowdown. Example, a processor 1 can send messages from processor 2. Then processor 3 can talk to both processors 1 and 2. Therefore, each processor has a different idea for which processors have then failed. Processor 1 might think that processor 2 has failed but, it does not receive any of the messages from processor 1. Process 3 thinks that both 1 and 2 are working great and properly, since they send and receive messages. Network partitions can occur when a line is connected to two sections of the failed network. Therefore, processor 1 and 2 can communicate with each other, but cannot communicate with processor 3. Processor Faults There are different processors, but there is only one special processor and this one can fail in many ways a slowdown, fail silent, and byzantine. All this can lead to a failure. Slowdown fault can occur when a certain processor executes very slow. It might be labeled as failed but, the failed processor may return to the normal speed and then begin to issue orders caused by many other problems within the distributed system. Then there is the Byzantine faults, this will occur when a faulty processor continues to run and then give a wrong answer, maybe it is working with other faulty processors or is it giving that impression that it is working well. The only way to see is how it is given that impression when running or it can be compared to the failed silent fault. Byzantine fault and failed silent fault are hard to diagnose and also difficult to deal with. Failed silent fault occurs when a processor stops functioning, no longer can accept inputs. Component Faults There are three types of components faults: permanent faults, transient faults, and intermittent faults. These faults don’t operate great and can be hard to fix. The distributed system will not work until all this components are replaced. Example: the permanent faults are caused by faulty components, like blunt out chips, processor failure, and software bugs. A transient fault can occur once and then it can disappear. If the operation system is repeated then the system can behave has normal. Then you have an intermittent fault. This will arise and then it will go away, then rise again and then so on until fixed or replaced. There are solutions to failures to the distributed system. And it is the difference between synchronous and asynchronous.
In a synchronous system the amount of time required for a message to be sent form one system to another is known as upper bound. Example: processor 1 sends a message to processor 2 and then waits to be given the time response, processor 1 does not receive a response within the limit time so, then an error occurs and then it will send another message. In asynchronous system, the processor will wait in an infinite time for response from the processor.

References
G. Attiya and Y. Hamam, "Task Allocation for Maximizing Reliability of Distributed Systems: A Simulated Annealing Approach," J. Parallel and Distributed Computing, vol. 66, pp. 1259-1266, 2006.

S. Dhakal, "Load Balancing in Communication Constrained Distributed Systems: A Probabilistic Approach," PhD dissertation, Univ. of New Mexico, 2006

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