Fault Tolerance and Graceful Performance Degradation in Cloud Data Center

2018 International Conference on Information and Communications Technology (ICOIACT)

2018

Self Cite

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.

Section: Related Workmentioning

confidence: 71%

Management of fault tolerance and traffic congestion in cloud data center

2018 International Conference on Information and Communications Technology (ICOIACT)

2018

Self Cite

“…This is a network address translation setup that enables the servers of the data center to communicate with the clients across the internet. For detailed explanation, please be referred to our previous work on [14,19]. The graph, Fig.…”

Section: Simulation Results and Evaluationmentioning

confidence: 99%

“…This is based on arrayed waveguide grating router that allows different input to get to same output at the same time via different wavelengths; resulting to low latency even at high input loads. However, as we already mentioned in our previous paper [19] optical interconnection used in data center only provides it with high capacity, low power, and low latency; while the challenges of fault tolerance, network scaling, and reduced cost of deployment are still issues confronting this architecture [17]. But with our proposed improved version of Fat-tree hybrids, fault tolerance, network scalability, and costeffectiveness are guaranteed.…”

Section: Review Of Related Workmentioning

confidence: 86%

“…As already stated in our previous works [14,19], in constructing the variants of improved version of fat tree we used in comparing the fault tolerance capability of cloud data center, it is appropriate to look at how we derived the switch level relationship, switch connectivity and port mapping through mathematical equations. By default we use full connectivity to connect the servers at level0 to level1 switches for each zone/subtree, and the numbering of switches and its ports at every level are from left to right starting from zero.…”

Section: Model Descriptionmentioning

confidence: 99%

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Fault tolerance capability of cloud data center

2017 13th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)

2017

Self Cite

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.

“…In this paper, we will not go into full details of showing the mathematical relations of the topologies but urge readers to see our previous works [1,10,11] for better understanding.…”

Section: A Mathematical Relations For Designing the Topologiesmentioning

confidence: 99%

Achieving a Fault Tolerant and Reliable Cloud Data Center Network

2018 IEEE International Conference on Services Computing (SCC)

2018

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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.