A Resilient Auction Framework for Deadline-Aware Jobs in Cloud Spot Market

Sabyasachi, Abadhan Saumya; Kabir, H M Dipu; Abdelmoniem, Ahmed M.; Mondal, Subrota Kumar

doi:10.1109/srds.2017.34

Cited by 9 publications

(2 citation statements)

References 7 publications

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“…For example, in Linux RT O min is equal to 200ms and is hard-coded in the TCP source code. Other approaches consider the co-flow abstraction to collectively optimize the performance of flows who share the same goal or task [45], [46].…”

Section: F Netfpga Hardware-switch Experimental Resultsmentioning

confidence: 99%

Reducing Latency in Multi-Tenant Data Centers via Cautious Congestion Watch

Abdelmoniem

Susanto

Bensaou

2020

49th International Conference on Parallel Processing - ICPP

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The peculiar congestion patterns in data centers are caused by the bursty and composite nature of traffic, the small bandwidth-delay product, and the tiny switch buffers. It is not practical to modify TCP to adapt to data centers, especially in public clouds where multiple congestion control protocols coexist. In this work, we design a switch-based method to address such congestion issues; our approach does not require any modification to TCP, which enables easy and seamless deployment in public data centers via switch software update. We first present a simple analysis to demonstrate the stability and effectiveness of the scheme, and then we discuss a hardware NetFPGA switch-based prototype. The experimental results from real deployments in a small testbed cluster show the effectiveness of our approach.

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Section: F Netfpga Hardware-switch Experimental Resultsmentioning

confidence: 99%

Reducing Latency in Multi-Tenant Data Centers via Cautious Congestion Watch

Abdelmoniem

Susanto

Bensaou

2020

49th International Conference on Parallel Processing - ICPP

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“…Several works have found, via measurements and analysis, that TCP timeouts are the root cause of most throughput and latency problems in data-center networks [1,5,37,39,41,42,55,59]. Other works [6,22,23,30,32,38,40,53,58,[63][64][65] analyzed the nature of incast events and packet drops in data-centers 4 ,. They also found that severe incast occurrences could lead to throughput collapse and longer FCT.…”

Section: Related Workmentioning

confidence: 99%

T-RACKs: A Faster Recovery Mechanism for TCP in Data Center Networks

Abdelmoniem

Bensaou

2021

IEEE/ACM Trans. Networking

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Cloud interactive data-driven applications generate swarms of small TCP flows that compete for the small buffer space in data-center switches. Such applications require a short flow completion time (FCT) to perform their jobs effectively. However, TCP is oblivious to the composite nature of application data and artificially inflates the FCT of such flows by several orders of magnitude. This is due to TCP's Internet-centric design that fixes the retransmission timeout (RTO) to be at least hundreds of milliseconds. To better understand this problem, in this paper, we use empirical measurements in a small testbed to study, at a microscopic level, the effects of various types of packet losses on TCP's performance. In particular, we single out packet losses that impact the tail end of small flows, as well as bursty losses, that span a significant fraction of the small congestion window of TCP flows in data-centers, to show a non-negligible effect on the FCT. Based on this, we propose the so-called, timely-retransmitted ACKs (or T-RACKs), a simple loss recovery mechanism to conceal the drawbacks of the long RTO even in the presence of heavy packet losses. Interestingly enough, T-RACKS achieves this transparently to TCP itself as it does not require any change to TCP in the tenant's virtual machine (VM). T-RACKs can be implemented as a software shim layer in the hypervisor between the VMs and server's NIC or in hardware as a networking function in a SmartNIC. Simulation and real testbed results show that T-RACKs achieves remarkable performance improvements.

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