When one thinks of computing, they almost immediately radiate towards the billions upon billions of information that is floating through the air via waves, as it passes through one medium to the next. It is also conceivable that the transfer of this information is often times without hindrance, however, with the proliferation of information within this digital age, it is almost common place to hear of servers or storage sites having crushed. Enter the datacentre. The datacentre is the main storage centre in which servers for information storing are housed. Over the last decade, datacentres have ballooned to become the core of the technological landscape. The biggest of them to date have massive numbers of servers running across a plethora of machines while running various distributary channels of applications. With applications being written in cognizance of locality of the datacentre, the unavoidable channelling to the many different machines, due to the enormous computations distributed to them, may lead to the slowness of the network and such distribution of information. This is indication that as the datacentres continue to increase in size and capacity, the difficulty in managing them also increases. This has thus put or has the potential to put the information and functionality grid under threat of imploding with disastrous consequences. Thus solutions that will parallel this expansion in the size of data distribution as well as the datacentre storage sizes, are needed