MTTR (Mean Time to Recovery)
MTTR is an abbreviation for Mean Time To Recovery or Mean Time To Repair which represents the average time taken to put a defective component or system back in working order. It is a measure of the maintainability of a system and predicts the average amount of time required to get the system to work again in case of a system failure.
MTTR can range from a few milliseconds, as in the case of an uninterrupted power supply (UPS) to many hours or even days in the case of application software or complex machinery.
The time taken to restore the system back to normalcy includes the period of diagnosis of the problem as well as its rectification. When the failure rate is predictable and well documented, the MTTR can be considerably reduced. On the other hand, if the system fails unexpectedly, the time taken to diagnose the problem itself might be quite high in the first place. Sometimes improper diagnosis can lead to faulty repairs that can complicate matters and lengthen the recovery period. All of these can contribute towards raising the MTTR for the system.
Some systems have redundancy built into them so that when one subsystem fails, another takes its place and keeps the whole system running. While the overall system has a zero MTTR, the faulty subsystem still needs to be repaired or replaced and hence the subsystem alone has a non-zero MTTR.
When the MTTR is built into a maintenance contract, a lower MTTR would normally entail a higher cost since the service provider has to ensure that the system is restored within a shorter period of time. Hence the service buyer has to pay more for this quicker turnaround time.
System reliability is a matter of importance to a wide range of industries. Be it the manufacture of automobiles, aero planes and rockets or the creation of complex software for the smooth running of a major business corporation, system reliability is an area of great concern for the creators as well as the users of the system. So MTTR is a vital parameter that indicates how soon things will get back to normal which has a great bearing on the overall stability of the system.
|
|
Comments (1)
Leave a Reply
- MTBF (Mean Time Between Failures)
MTBF stands for Mean Time Between Failures. MTBF numbers represent a statistical approximation of how long a set of devices should last before failure. MTBF numbers are not valuable at determining when a specific device will fail. MTBF numbers are usually stated in terms of hours. MTBF is often erroneously described as Mean Time Before [...]...
- Round Trip Time
Round Trip Time, or RTT, also known as “round-trip delay time” is the time it takes for a signal to be sent from a transmitter to a receiver plus the time it takes to verify that the signal has been received; therefore, Round Trip Time is the time it takes for a signal to be [...]...
- One-Time Pad
A one-time pad is the only theoretically unbreakable cipher. A one-time pad is a private key, or symmetric, cipher where the key size is equal to the plaintext size. Because of this, the key is never reutilized. As the key is never reutilized, there is no basis for mathematical cryptanalysis. An example of a very [...]...
- RTP (Real-time Transport Protocol)
RTP (Real-time Transport Protocol) is used to encapsulate VoIP data packets inside UDP packets. RTP is defined in RFC 3550 – RTP: A Transport Protocol for Real-Time Applications. RTP provides end-to-end network transport functions suitable for applications transmitting real-time data, such as audio, video or simulation data, over multicast or unicast network services. RTP does [...]...
- How to Use the Windows XP Recovery Console
The Windows XP Recovery Console can be used to repair problems which prevent a Windows XP system from booting. Boot Windows XP from CD or Floppy First, boot the computer from the Microsoft Windows XP CD. Before you start the process, go into your BIOS settings and ensure that your CD-ROM drive has the highest [...]...
Explain how the Instantaneous Failure Rate, λ(t) is linked to both the Failure Time distribution function f(t) and R(t), the Reliability Distribution function, also explain the equation linking the Instantaneous Failure Rate and failure times for the Weibull distribution, showing how different values of the shape parameter, b (<1, =1 or >1), affect the graph plot of λ(t) versus t.