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Is Big Data Performance Reproducible in Modern Cloud Networks? [article]

Alexandru Uta, Alexandru Custura, Dmitry Duplyakin, Ivo Jimenez, Jan Rellermeyer, Carlos Maltzahn, Robert Ricci, Alexandru Iosup
2019 arXiv   pre-print
Focusing on networks, we assess the impact of variability on cloud-based big-data workloads by gathering traces from mainstream commercial clouds and private research clouds.  ...  We characterize the network variability present in our data and show that, even though commercial cloud providers implement mechanisms for quality-of-service enforcement, variability still occurs, and  ...  VIDI MagnaData (#14826), SURFsara e-infra180061, as well as NSF Grant numbers 1419199 and 1743363, and NSF OAC-1836650, NSF CNS-1764102, NSF CNS-1705021, NSF OAC-1450488, and the Center for Research in  ... 
arXiv:1912.09256v1 fatcat:tyq4h4qcs5fi5nwijitfr24rj4

Simulating Software Defined Networking Using Mininet to Optimize Host Communication in a Realistic Programmable Network

Lindinkosi L. Zulu, Kingsley A. Ogudo, Patrice O. Umenne
2018 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD)  
These results are also beneficial to modern network deployments as the live network devices can also communicate with the testing environment for the data center, cloud and mobile provides.  ...  In this paper, Mininet-WiFi was used to simulate a Software Defined Network to demonstrate Mininet-WiFi' s ability to be used as the Software Defined Network emulator which can also be integrated to the  ...  wireless network providers and organizations with virtualized network functions and cloud solutions.  ... 
doi:10.1109/icabcd.2018.8465433 fatcat:ws7bkivp6beaxkttkd43xk4mdi

Comparison of Software Defined Networking with Traditional Networking

Saad H. Haji, Subhi R. M. Zeebaree, Rezgar Hasan Saeed, Siddeeq Y. Ameen, Hanan M. Shukur, Naaman Omar, Mohammed A. M. Sadeeq, Zainab Salih Ageed, Ibrahim Mahmood Ibrahim, Hajar Maseeh Yasin
2021 Asian Journal of Research in Computer Science  
The segregation of concerns identified between the policies concept of network, their implementation in hardware switching and data forwarding is essential to the flexibility required: SDN makes it less  ...  Therefore, there is difficulty in configuring the network in line with the predefined procedures and responding to the load modifications and faults through network reconfiguring.  ...  Ruaro showing improved performance in dealing with big data processing in SDN.  ... 
doi:10.9734/ajrcos/2021/v9i230216 fatcat:pgbcvv7z65hkbppake3g2hstfi

Emerging services for Internet of Things

Victor Chang, Verena Kantere, Muthu Ramanchadran
2017 Journal of Network and Computer Applications  
At the same time, IoT is one of the main source of data for Big Data Processing.  ...  methods involved with Big Data, Cloud etc. to make services seamlessly.  ...  For the resource limited devices in health IoT, it is an essential requirement to design lightweight algorithms in the secure data management system.  ... 
doi:10.1016/j.jnca.2017.04.005 fatcat:snzkfrprzjanfpkfebvzpfrnvu

Energy Material Network Data Hubs

Robert R. White, Kristin Munch, Nicholas Wunder, Nalinrat Guba, Chitra Sivaraman, Kurt M. Van Allsburg, Huyen Dinh, Courtney Pailing
2021 International Journal of Advanced Computer Science and Applications  
With the accessibility of new, easily deployed cloud technology and software frameworks, such individual elements could be integrated, and the required collaboration architecture is now possible.  ...  After five years in operations, the systems are demonstratively an effective platform for enabling research within the Energy Material Networks (EMN).  ...  The Data Hubs are hosted in the Amazon Web Services (AWS) cloud and are based on the open-source Comprehensive Knowledge Archive Network (CKAN) platform, which has a plug-in architecture for customizations  ... 
doi:10.14569/ijacsa.2021.0120677 fatcat:kepb5scpxrfgzeuwzg3m7zzv6u

The digital economy based on networked and intelligent ICTs

2018 Risk in Contemporary Economy  
Artificial Intelligence (AI), Cloud Computing based on Fog and Edge Computing, Big Data, Internet of Things (IoT), and other important electronic technologies are used to collect, store, analyze, and share  ...  These new ICTs enable modern economic activities to be more flexible and agile. Digital Economy is growing fast in volume and semantic, due the progress of applied Artificial Intelligence Systems.  ...  Cloud is an integrated cloud service using private cloud and public cloud in order to perform separate functions within the same organization.  ... 
doi:10.26397/rce2067053227 doaj:fe0a29146f324da59211a5ba2000bba6 fatcat:efbfv56e7zf2robwuvkkeyam3a

Cloud Computing for Global Name-Resolution in Information-centric Networks

Xenofon Vasilakos, Konstantinos Katsaros, George Xylomenos
2012 2012 Second Symposium on Network Cloud Computing and Applications  
In this paper we discuss the feasibility of deploying the Data Oriented Networking Architecture (DONA) by leveraging cloud computing facilities.  ...  ICN architectures based on the publish/subscribe model use names for information in order to route requests and data, as well as to facilitate in-network caching, anycasting and multicasting for efficient  ...  Modern cloud data centers scale to even 100,000 servers, each one with enough resources to host several tens of virtual machines.  ... 
doi:10.1109/ncca.2012.25 dblp:conf/ncca/VasilakosKX12 fatcat:wstufvq3cbe5ljgljgmm4eluni

Optimizing capacity allocation for big data applications in cloud datacenters

Sebastiano Spicuglia, Lydia Y. Chen, Robert Birke, Walter Binder
2015 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)  
In this paper, we develop a novel solution, OptiCA, that eases the deployment of big data applications on cloud and the control of application components so that desired performance metrics can be best  ...  Data intensive applications based on the MapReduce paradigm rapidly grow in popularity and importance in the Cloud.  ...  The research presented in this paper has been supported by the Swiss National Science Foundation (project 200021 141002).  ... 
doi:10.1109/inm.2015.7140330 dblp:conf/im/SpicugliaCBB15 fatcat:smzevmq27rhuvfcoeonncdxoma

Towards a Big Data system disaster recovery in a Private Cloud

Victor Chang
2015 Ad hoc networks  
While many papers in security focus on privacy and security technologies, few address the DR process, particularly for a Big Data system.  ...  We compare performance between different approaches and multi-purpose approach stands out in the event of emergency.  ...  up across our private networks on the Private Cloud and ensure all biomedical scientists will be able to perform Big Data backup, recovery and computational services on the Cloud.  ... 
doi:10.1016/j.adhoc.2015.07.012 fatcat:b47d6ewu7vg3layeawdacxzgc4

A Survey on Big Data for Network Traffic Monitoring and Analysis

Alessandro DrAlconzo, Idilio Drago, Andrea Morichetta, Marco Mellia, Pedro Casas
2019 IEEE Transactions on Network and Service Management  
We catalog previous work on NTMA that adopt big data approaches to understand to what extent the potential of big data is being explored in NTMA.  ...  Those are precisely the challenges faced by general big data approaches: Volume, Velocity, Variety, and Veracity. This survey brings together NTMA and big data.  ...  Next, we review works performing such pre-processing tasks for NTMA. 1) Transformations: A popular approach to handle the big network measurements is to perform further transformations after the data leaves  ... 
doi:10.1109/tnsm.2019.2933358 fatcat:4cpekmtj4zb23ddgw6rbibd2um

Recent Advances in Data Engineering for Networking

Engin Zeydan, Josep Mangues-Bafalluy
2022 IEEE Access  
The results of our tutorial investigation show that despite various efforts towards standardization and network management and orchestration platforms, there is still a significant gap in applying recent  ...  This tutorial paper examines recent advances in data engineering, focusing on aspects of network management and orchestration.  ...  Dremio offers a cloud data lake engine for Big Data queries.  ... 
doi:10.1109/access.2022.3162863 fatcat:jqpp6dyk3jf3tnzovplmlkoewu

Faithful reproduction of network experiments

Dimosthenis Pediaditakis, Charalampos Rotsos, Andrew William Moore
2014 Proceedings of the tenth ACM/IEEE symposium on Architectures for networking and communications systems - ANCS '14  
The proliferation of cloud computing has compelled the research community to rethink fundamental aspects of network systems and architectures.  ...  In order to faithfully emulate faster and larger networks, SELENA adopts the technique of time-dilation and transparently slows down the passage of time for guest operating systems.  ...  Using TDF = 1 we observe a big deviation in latencies from the real network.  ... 
doi:10.1145/2658260.2658274 dblp:conf/ancs/PediaditakisRM14 fatcat:76zz4v5yqfhrfpesdied6jhl7u

Introducing Development Features for Virtualized Network Services

Steven Van Rossem, Wouter Tavernier, Didier Colle, Mario Pickavet, Piet Demeester
2018 IEEE Communications Magazine  
They are driven by the evolution in Software Defined Networking (SDN) and Network Function Virtualization (NFV).  ...  This continuous cycle between development and operations, a concept known as DevOps, is a well known strategy in software development.  ...  The generic cloud eco-system is basically a connection from user to data center, where the network infrastructure in between is not leveraged.  ... 
doi:10.1109/mcom.2018.1600104 fatcat:2u52qdbkjbgudiurysxqobvn5y

vLocality: Revisiting Data Locality for MapReduce in Virtualized Clouds

Xiaoqiang Ma, Xiaoyi Fan, Jiangchuan Liu, Hongbo Jiang, Kai Peng
2017 IEEE Network  
Data locality seeks to co-locate computation with data, which effectively reduces remote data access and improves MapReduce's performance in physical machine clusters.  ...  In this article, through real-world experiments, we show strong evidence that the conventional notion of data locality is unfortunately not always beneficial for MapReduce in a virtualized environment.  ...  This work was supported in part by the National Natural Science Foundation of China under Grants 61572219 and 61502192, a Canada NSERC Discovery Grant, and a Canada NSERC Strategic Project Grant.  ... 
doi:10.1109/mnet.2016.1500133nm fatcat:2bhvbzxsxvagff5tq4hzezztia


Logica BANICA, Victoria-Mihaela BRINZEA, Magdalena RADULESCU
2015 Buletin ştiinţific: Universitatea din Piteşti. Seria Ştiinţe Economice  
More and more companies invest in analytic tools to monitor their marketing strategies and Big Data becomes extremely useful for this purpose, using information like customer demographics and spending  ...  An important challenge for companies was to be aware of the changes in customer behaviour, using social networks software.  ...  A solution to build a Big Data infrastructure for a company is Cloud Computing environment, offering the resources required to store and access data volumes.  ... 
doaj:65ee9228389040c0829e5c0a3e4ed5fe fatcat:dyvhgwketvcrlivahqx6crxepi
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