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Towards causal datacenter networks

Ellis Michael, Dan R. K. Ports
2018 Proceedings of the 5th Workshop on the Principles and Practice of Consistency for Distributed Data - PaPoC '18  
This approach, which we call omnisequencing, would ensure causal delivery of all messages, making consistency a network-level guarantee.  ...  We build on that trend and ask whether it is possible for the datacenter network to order all messages in a protocol-agnostic way.  ...  A causally ordered datacenter network resembles traditional software-based primitives like causal multicast from ISIS [1] , but can be implemented efficiently and at large scale.  ... 
doi:10.1145/3194261.3194269 dblp:conf/eurosys/MichaelP18 fatcat:aundnveep5fwhoasmsn3vseyl4

YTrace: End-to-end Performance Diagnosis in Large Cloud and Content Providers [article]

Partha Kanuparthy, Yuchen Dai, Sudhir Pathak, Sambit Samal, Theophilus Benson, Mojgan Ghasemi, P. P. S. Narayan
2016 arXiv   pre-print
We show three case studies from production that span a large-scale distributed storage system, a datacenter-wide network, and an end-to-end video serving stack at Yahoo.  ...  YTrace diagnoses problems across service and network layers in the end-to-end path spanning user host, Internet, CDN and the datacenters, and has three diagnosis goals: detection, localization and root  ...  We first look at datacenter network problem diagnosis. Datacenter network diagnosis.  ... 
arXiv:1602.03273v3 fatcat:7ufshgqpfzh4xiott5ve53wwoa


Jiaqing Du, Călin Iorgulescu, Amitabha Roy, Willy Zwaenepoel
2014 Proceedings of the ACM Symposium on Cloud Computing - SOCC '14  
By encoding causality in a single scalar timestamp, GentleRain reduces storage and communication overhead for tracking causality.  ...  GentleRain is a new causally consistent geo-replicated data store that provides throughput comparable to eventual consistency and superior to current implementations of causal consistency.  ...  This leaves network failures both within and across datacenters.  ... 
doi:10.1145/2670979.2670983 dblp:conf/cloud/DuI0Z14 fatcat:afphmev7ibal5ajxkpwfbhixse

The Challenges of Global-scale Data Management

Faisal Nawab, Divyakant Agrawal, Amr El Abbadi
2016 Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16  
However, the Wide-Area Network (WAN) latency separating data is orders of magnitude larger than conventional network latencies, and this requires a reevaluation of many of the traditional design trade-offs  ...  Leveraging advances in WAN research from the networking community is an important step towards building efficient GSDM systems.  ...  Round-Trip Time communication (WAN RTT) compared to memory access la- tency [50] and network latency within the datacenter (local RTT)  ... 
doi:10.1145/2882903.2912571 dblp:conf/sigmod/NawabAA16 fatcat:4ja2phoh7zajxnckcupa25o65y

Challenges facing tomorrow's datacenter

Robbert van Renesse, Rodrigo Rodrigues, Mike Spreitzer, Christopher Stewart, Doug Terry, Franco Travostino
2008 Proceedings of the 2nd Workshop on Large-Scale Distributed Systems and Middleware - LADIS '08  
The 2008 workshop on Large-Scale Distributed Systems and Middleware (LADiS) addressed challenges facing tomorrow's datacenter.  ...  Doing so is useful for structuring an overlay mesh, with high capacity nodes forming the backbone of the mesh, and low capacity nodes moved toward the edges of the network.  ...  The failure and network characteristics within a datacenter often drastically differ from those across datacenters.  ... 
doi:10.1145/1529974.1529976 fatcat:zmlphu6l6ndovnxur5znfugh24

Distributed Cloud Computing

Yvonne Coady, Oliver Hohlfeld, James Kempf, Rick McGeer, Stefan Schmid
2015 Computer communication review  
A distributed cloud connecting multiple, geographically distributed and smaller datacenters, can be an attractive alternative to today's massive, centralized datacenters.  ...  His talk then presented a survey on some practical first steps towards addressing these challenges.  ...  Distributed cloud computing enables the moving of execution of distributed applications towards client machines.  ... 
doi:10.1145/2766330.2766337 fatcat:girpjoy7cbfyzbgylqa77d47cy

2019 Index IEEE Transactions on Services Computing Vol. 12

2020 IEEE Transactions on Services Computing  
-Feb. 2019 105-116 Minimizing Traffic Migration During Network Update in IaaS Datacenters.  ...  -Feb. 2019 105-116 Minimizing Traffic Migration During Network Update in IaaS Datacenters.  ... 
doi:10.1109/tsc.2020.2965435 fatcat:tim4rhxag5dqpbhvtgpwvp6ibm

An Adaptive Replica Selection Algorithm for Quorum based Distributed Storage System

Zhen Ye, Weijian Hu
2016 International Journal of Grid and Distributed Computing  
In Quorum based cross datacenter distributed storage systems, data replication is a widely used technology.  ...  Network latency between different datacenters has huge difference, thus in cross datacenter scenario this performance reduction issue is more obvious.  ...  We use 7 desktops to simulate 7 datacenters. Each machine contains a Cassandra node. The network latencies between different datacenters are simulated by adding some extra delay time.  ... 
doi:10.14257/ijgdc.2016.9.5.06 fatcat:nnbbbwpcnjffpapejrh2b7wmny

Delay-Based Cloud Congestion Control

Mitchell Gusat, Robert Birke, Cyriel Minkenberg
2009 GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference  
A qualitative open loop analysis of two datacenter networks (10 Gb/s Ethernet and 12x Infiniband) yields positive results.  ...  To address this problem we first investigate whether path delay could serve as a reliable congestion measure for clouds spanning across multiple datacenters and heterogenous networks.  ...  CLOUD AND DATACENTER TRENDS Cost and power constrains are leading toward IT federation, i.e., the aggregation of server blades, clusters, and storage networks into increasingly larger datacenters (DC).  ... 
doi:10.1109/glocom.2009.5425643 dblp:conf/globecom/GusatBM09 fatcat:zk6sdcai4jbpjboohrkf2je44y

Distributed Data-Centric Adaptive Sampling for Cyber-Physical Systems

Eun Kyung Lee, Hariharasudhan Viswanathan, Dario Pompili
2015 ACM Transactions on Autonomous and Adaptive Systems  
The causality analysis and the same correlations are then leveraged for adaptive sleep scheduling aimed at saving energy in wireless sensor networks (WSNs).  ...  Differently from existing adaptive sampling solutions, SILENCE employs temporal causality analysis to not only track the variation in the underlying phenomenon but also its cause and direction of propagation  ...  Part (a) shows the causality flow (sign and magnitude), whereas parts (b) and (c) show the causality information in network form and matrix form, respectively.  ... 
doi:10.1145/2644820 fatcat:wqao3gyl7rhjjhtmra4krmbuam

Got loss?

Daniel Crisan, Robert Birke, Gilles Cressier, Cyriel Minkenberg, Mitch Gusat
2013 Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM - SIGCOMM '13  
Datacenter networking is currently dominated by two major trends.  ...  Moreover, we propose a zero-loss Overlay Virtual Network (zOVN) designed to reduce the query and flow completion time of latency-sensitive datacenter applications.  ...  The "noise" in Figure 3c confirms our intuitive hypothesis about large non-causal performance variability in virtual networks.  ... 
doi:10.1145/2486001.2486024 dblp:conf/sigcomm/CrisanBCMG13 fatcat:c4culop7lbfr3hrqwvpumw3tnm

Improved routing algorithms in the dual-port datacenter networks HCN and BCN

Alejandro Erickson, Iain A. Stewart, Jose A. Pascual, Javier Navaridas
2017 Future generations computer systems  
We also present a much tighter analysis of HCN and BCN by observing that there is a very close relationship between the datacenter networks HCN and the interconnection networks known as WK-recursive networks  ...  Highlights Improved routing algorithms for the datacenter networks HCN and BCN are proposed. New routing algorithms are derived from algorithms for WK-recursive networks.  ...  These new workloads cover more representative and realistic network traffic scenarios that can be found in existing datacenters.  ... 
doi:10.1016/j.future.2017.05.004 fatcat:ojcarxzokvdcbpelwgqspiqgvu

Revisiting Time, Clocks, and Synchronization [article]

Ying Zhang
2021 arXiv   pre-print
Finally, we briefly discuss an independent time network approach towards low-cost and high-precision synchronization.  ...  Sub-nanosecond precision clock synchronization over the packet network has been achieved by the White Rabbit protocol for a decade. However, few computer systems utilize such a technique.  ...  We proposed an approach of deploying an independent time network. This paper is only a vague start. We hope to attract more interest in the clock synchronization problem.  ... 
arXiv:2106.16140v1 fatcat:o6wf7zx6ozb5zm74zbl77pd2uq

Automating the debugging of datacenter applications with ADDA

Cristian Zamfir, Gautam Altekar, Ion Stoica
2013 2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)  
Debugging data-intensive distributed applications running in a datacenter ("datacenter applications") is complex and time-consuming.  ...  We present ADDA, a replay-debugging system for datacenter applications.  ...  Unfortunately, debugging datacenter applications is hard. When an application failure occurs, the causality chain of the failure is often difficult to trace, as it may span multiple nodes.  ... 
doi:10.1109/dsn.2013.6575303 dblp:conf/dsn/ZamfirAS13 fatcat:cmb7j7vpkvhfxdvr5dvqxjsb5m

The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines, Second edition

Luiz André Barroso, Jimmy Clidaras, Urs Hölzle
2013 Synthesis Lectures on Computer Architecture  
Their approach consists of observing networking traffic among system components and inferring causal relationships through statistical inference methods. 29 Because they treat all system components (  ...  Typically, approximately 80% of total construction cost goes toward power and cooling, and the remaining 20% toward the general building and site construction.  ... 
doi:10.2200/s00516ed2v01y201306cac024 fatcat:435o455inbcmrakl6l7jp4gope
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