Abstract

The promising services offered by cloud computing environments have led to huge amount of data that need to be processed and stored. Wireless cloud networks rely on Transmission Control Protocol/Internet Protocol (TCP/IP) for reliable transfer of data traffic between the cloud end-users and servers and vise-versa. Even though TCP has been successful for several applications, it, however, does not perform well in wireless cloud environments. The many-to-one communication pattern used in such environments with such huge amount of data resulted in TCP incast problem. Transmission Control Protocol incast problem happens in cluster based storage workloads where a lot of end-users communicate simultaneously to a server in the cloud through a bottleneck router, creating buffers overflows which lead to high packet loss. This paper presents an empirical study on TCP incast in current wireless cloud networks and how it is caused. It evaluates TCP-Vegas and TCP-Sack to examine their behaviors and suitability for short-lived connections in terms of queue occupancy level, packet drops, throughput, link utilization and bandwidth unfairness between the TCP connections. It was found that both protocols suffer from high packet loss and link underutilization with comparable throughput.

Highlights

  • Cloud computing has become very popular in recent years

  • Transmission Control Protocol (TCP) is underlying transport protocol that is commonly used in cloud networks due to its reliability of data delivery (Kulkarni et al, 2013; Garai et al, 2015)

  • The performance evaluation of two different TCP versions, called TCP-Vegas and TCP-Sack in wireless cloud networks is evaluated in terms of queue occupancy level, packet drops, throughput and link utilization

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Summary

Introduction

Cloud computing has become very popular in recent years. The propagation of networked devices and offered services over Internet has given the rise to huge amount of data that need to be processed and stored. Cloud computing has emerged and become widely popular as a global technology for cost effective resource availability and management to achieve significant performance improvements in analyzing such large-scale data. Wellknown organizations such as Amazon, Google, Microsoft, HP and IBM have been deploying on-demand “Clouds” for all required software (services) around the world (Staudinger et al, 2014; Botta et al, 2016) and host applications that produce numerous data such as scientific computing, social networks, e-commerce, web search, retail and distributed files systems, to name a few (Hammadi and Mhamdi, 2014). Transmission Control Protocol (TCP) is underlying transport protocol that is commonly used in cloud networks due to its reliability of data delivery (Kulkarni et al, 2013; Garai et al, 2015)

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