Revisiting TCP Congestion Control in a Virtual Cluster Environment

Cheng, Luwei; Lau, Francis C. M.

doi:10.1109/tnet.2015.2451161

Cited by 3 publications

(2 citation statements)

References 53 publications

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“…The total number of duplicate packets transmitted by all the nodes in the transmission is gathered. Each time a TCP detects a retransmission loss, duplicate acknowledgment counts [48]. According to Lin and Kung [49] 4% of the timeouts are due to the huge number of duplicate acknowledgment count.…”

Section: Presentation Of the Resultsmentioning

confidence: 99%

Dealing With Well-Formed and Malformed Packets, Associated With Point of Failure That Cause Network Security Breach

2020

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It is quite challenging to understand the weakest single points of failure in a network because it is the point where an entire network system can be taken down. The paths leading to a point of failure, and the status of packets that causes network security breaches were examined by Intent-Based Networking approach in this study. Two algorithms are proposed, utilizing single-path and multipath in transmission flow. Every path is potentially weak and a point of failure for which a network security can be breached. Two sets of rules, namely, "vulnerability rules policies" with "rules formulation" from the regions of connection recognized by Euler's theorem were outlined. The intent is to use these sets of rules in finding the point of failure the packet status that is leading to possible security breaches within network connections. The frequencies of the packets that are liable to create security breaches and the paths where they originate are analyzed. Well-formed packet originating from the least likely weak point of failure is associated the network security breach than malformed packets. This study has contributed to revealing that network security breaches are influenced by the paths with least likely point of failure from well-formed packets.

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Section: Presentation Of the Resultsmentioning

confidence: 99%

Dealing With Well-Formed and Malformed Packets, Associated With Point of Failure That Cause Network Security Breach

2020

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“…Multiple researchers expose differences in latency and throughput in virtualized networking devices [19], [23], [25], [27]. Virtualization can also cause different network behaviors, especially around TCP and congestion control [9], [12], [13]. These papers typically present new approaches for performance improvement.…”

Section: Introductionmentioning

confidence: 99%

Virtually the Same: Comparing Physical and Virtual Testbeds

Crussell

Kroeger

Brown

et al. 2019

2019 International Conference on Computing, Networking and Communications (ICNC)

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Network designers, planners, and security professionals increasingly rely on large-scale testbeds based on virtualization to emulate networks and make decisions about real-world deployments. However, there has been limited research on how well these virtual testbeds match their physical counterparts. Specifically, does the virtualization that these testbeds depend on actually capture real-world behaviors sufficiently well to support decisions?As a first step, we perform simple experiments on both physical and virtual testbeds to begin to understand where and how the testbeds differ. We set up a web service on one host and run ApacheBench against this service from a different host, instrumenting each system during these tests.We define an initial repeatable methodology (algorithm) to quantitatively compare physical and virtual testbeds. Specifically we compare the testbeds at three levels of abstraction: application, operating system (OS) and network. For the application level, we use the ApacheBench results. For OS behavior, we compare patterns of system call orderings using Markov chains. This provides a unique visual representation of the workload and OS behavior in our testbeds. We also drill down into read-system-call behaviors and show how at one level both systems are deterministic and identical, but as we move up in abstractions that consistency declines. Finally, we use packet captures to compare network behaviors and performance. We reconstruct flows and compare per-flow and per-experiment statistics.From these comparisons, we find that the behavior of the workload in the testbeds is similar but that the underlying processes to support it do vary. The low-level network behavior can vary quite widely in packetization depending on the virtual network driver. While these differences can be important, and knowing about them will help experiment designers, the core application and OS behaviors still represent similar processes.

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Technical Challenges and Solutions to TCP in Data Center

Agboola,

Mezue,

Adebayo

et al. 2024

IJITC

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Transmission Control Protocol plays a crucial role in data center networking, but it also presents several technical challenges. This article examines the various technical challenges faced in implementing TCP in data center environments and presents a comprehensive analysis of the solutions available to address these challenges. The paper discusses issues such as performance bottlenecks, congestion control, and scalability, and provides insights into the advancements in TCP technologies that have been developed to overcome these hurdles. Additionally, the article explores the impact of emerging trends such as cloud computing, big data, and virtualization on TCP in data centers, shedding light on the evolving landscape of networking protocols in modern data center environments.

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Revisiting TCP Congestion Control in a Virtual Cluster Environment

Cited by 3 publications

References 53 publications

Dealing With Well-Formed and Malformed Packets, Associated With Point of Failure That Cause Network Security Breach

Dealing With Well-Formed and Malformed Packets, Associated With Point of Failure That Cause Network Security Breach

Virtually the Same: Comparing Physical and Virtual Testbeds

Technical Challenges and Solutions to TCP in Data Center

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