In relation to network performance, graceful degradation amidst increase in the failure of network devices expects a reduction in performance in a way that a dramatic fall in throughput will not be noticed. To achieve a relevant graceful performance degradation especially in a cloud data center networks means the design must be fault tolerant. A fault tolerant data center network should be able to provide alternative paths from source to destination during failures so that there will not be abrupt fall in performance. But this is not the case because of the growth in the use of internet-based applications, big data, and internet of things; leading to several ongoing researches to find the best suitable design that could help alleviate the poor fault tolerance and graceful performance degradation in cloud data center. Fat trees (FT) interconnections have been the most popular topologies used in data centers due to their path diversities and good fault tolerance characteristics. In this paper, we propose a Reversed Hybrid architecture derived from the more generalized fat tree structure, Z-fat tree and compare it to a fat tree network with the same amount of resources for client server communication patterns such as HTTP and EMAIL application in a cloud data center. The results with faulty links show that our proposed Reversed Hybrid outperform the fat tree. We conclude based on the level of graceful performance degradation achieved that fault tolerance in data center cannot only be realized by adding extra hardware to the network, rather bespoke design plays a greater role.
In this era of big data and internet of things, the need for performance improvement in cloud data center is unavoidable. This has led to several designs of data center network topologies with the aim of achieving a data center that has the capability of tolerating fault during multiple failures. In this paper, we proposed improved variants of fat-tree interconnections to mitigate the challenges of fault tolerance. The availability of alternative paths for congestion control and fault tolerance gave Fat-tree an edge over other data center architectures, thereby becoming a widely used architecture for data center. Our focus is on client to server communications in a cloud data center network as explained in Fig. 7, hence simulation of HTTP application was carried out on different variants of fat tree designs. The simulation results with Riverbed showed that our proposed hybrid designs outperformed the Single fat tree designs as the number of link failures increase.
The need for a robust data center that is fault tolerant can never be overemphasized, especially nowadays that the advent of big data traffic, internet of things and other on-demand internet applications are on the increase. The rate at which these data are transferred across the internet is worrisome, and a thing of concern to the data center developers. The emergence of ubiquitous computing has also aided to the increase in traffic across the internet, because computing occurs more now by use of any device, in any location, and in any format. These issues have compounded the management of Cloud Data Center used for storage, transfer, and analysis of data across the cloud; as a result, the data center network devices become prone to failures, which automatically impacts on its performance. Nevertheless, several researchers have come up with solutions, though not sufficient to mitigate these issues. Therefore, on our part, we realised that architectural design of data center network is the bedrock of having a fault tolerant, reliable, robust, and congestion free network. So, this paper, which is an extension of our previous works, based on an improved version of Fat Tree (called Z-node); we proposed a Hybrid fat tree design and compared it with Single fat tree design, for client to server communication pattern such as HTTP and EMAIL applications. The simulation results obtained with different device failures and traffic rate patterns, show that the Hybrid fat tree design performed better than the Single fat tree design, hence will be the best bet for the transfer and analysis of big data in cloud data center network.
In this era of ubiquitous computing, coupled with the emergence of big data and internet of things, there have been constant changes in every aspect of cloud data center communications-its network connectivity, data storage, data transfer, and architectural design. As a result of this, the amount of data transferable, and the frequency of data transfer have tremendously increased; causing device failures and traffic congestions. To cope with these changes so that performance can be sustained amidst device failures and traffic congestion, the design of fault tolerant cloud data center is important. A fault tolerant cloud data center network should be able to provide alternative paths from source to destination during failures so that there will not be abrupt fall in performance. But still with the ongoing researches in this regard, there has not been a robust cloud data center design that can boast of being suitable for alleviating the poor fault tolerance of cloud data center. In this paper, we proposed the improved versions of fat-tree interconnection hybrid designs derived from the structure called Z-fat tree; to address the issues of fault tolerance. Then, we compared these designs with single fat tree architecture with the same amount of resources for client server communication pattern such as Email application in a cloud data center. The simulation results obtained based on failed switches and links, show that our proposed hybrid designs outperformed the single fat tree design as the inter arrival time of the packets reduces.
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