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Elastic and Scalable Processing of Linked Stream Data in the Cloud [chapter]

Danh Le-Phuoc, Hoan Nguyen Mau Quoc, Chan Le Van, Manfred Hauswirth
2013 Lecture Notes in Computer Science  
It enables the integration and joint processing of heterogeneous stream data with quasi-static data from the Linked Data Cloud in near-real-time.  ...  Several Linked Stream Data processing engines exist but their scalability still needs to be in improved in terms of (static and dynamic) data sizes, number of concurrent queries, stream update frequencies  ...  Related Work To the best of our knowledge, CQELS Cloud is the first system addressing elastic and scalable processing for Linked Stream Data but our approaches touch on a number of areas.  ... 
doi:10.1007/978-3-642-41335-3_18 fatcat:w4ogqbov6ffctm3lp6hrsdfwja

Resource Optimisation in IoT Cloud Systems by Using Matchmaking and Self-management Principles [chapter]

Martin Serrano, Danh Le-Phuoc, Maciej Zaremba, Alex Galis, Sami Bhiri, Manfred Hauswirth
2013 Lecture Notes in Computer Science  
IoT Cloud systems provide scalable capacity and dynamic behaviour control of virtual infrastructures for running applications, services and processes.  ...  Key aspects in this type of complex systems are the resource optimisation and the performance of dynamic management based on distributed user data metrics and/or IoT application data demands and/or resource  ...  The linked data in the lower layer is called linked data stream as depicted in Figure 4 . The linked stream data model brings several advantages in data correlation operations.  ... 
doi:10.1007/978-3-642-38082-2_11 fatcat:cgqiysdweffefcsqexqm7roiwq

Adaptive Mobile Video Streaming and Efficient Social Video Sharing in Cloud
English

Mr.Prabhu R, Mr.Gautham K, Mrs.Nagajothi A
2014 International Journal of Computer Trends and Technology  
For all mobile user, make a private agent in the cloud data centre to alter the mobile video streams flow by the Scalable Video Coding method based on the reply from the mobile customer and perform the  ...  The hole among the traffic load and the wireless connection facility, along with time-changeable link circumstances, results reduced superiority of mobile video streams more than mobile networks, such  ...  The video deliverance among the sub VCs and the VC in a number of cases are in truth not "copy" but just "link" procedure of the interrelated file forever surrounded by one cloud data centre.  ... 
doi:10.14445/22312803/ijctt-v9p131 fatcat:6aie6yi4fbdwvoltx6f24lmvxm

Scalable and elastic realtime click stream analysis using StreamMine3G

André Martin, Andrey Brito, Christof Fetzer
2014 Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems - DEBS '14  
, (2) elastic in order to cope with the fluctuation in the data stream, and (3) provide efficient state management mechanisms in order to drive such kind of analysis.  ...  a novel delegation mechanisms lowering contention on state as well as network links caused by fluctuations and temporary imbalances in the data streams.  ...  Acknowledgment The research leading to these results has received funding from the European Community's Seventh  ... 
doi:10.1145/2611286.2611304 dblp:conf/debs/MartinBF14 fatcat:yedyk3vg3jhkxcob44g7bjplem

Design and evaluation of elastic media resource allocation algorithms using CloudSim extensions

Rafael Xavier, Hendrik Moens, Bruno Volckaert, Filip De Turck
2015 2015 11th International Conference on Network and Service Management (CNSM)  
One such service currently under investigation in the Elastic Media Distribution (EMD) project, is how to enable qualitative, reliable and scalable realtime media collaboration services using proven Cloud  ...  On the other hand, some pricey dedicated solutions do offer these lowdelay, reliable cooperation services, but without the benefits that clouds can bring in terms of scalability.  ...  ACKNOWLEDGMENT The research described in this paper is partially funded by the iMinds EMD project.  ... 
doi:10.1109/cnsm.2015.7367377 dblp:conf/cnsm/XavierMVT15 fatcat:3ststniaxjfwrgiqfaxyy6omqi

Distributed Data Stream Processing and Edge Computing: A Survey on Resource Elasticity and Future Directions [article]

Marcos Dias de Assuncao, Alexandre da Silva Veith, Rajkumar Buyya
2017 arXiv   pre-print
This paper surveys state of the art on stream processing engines and mechanisms for exploiting resource elasticity features of cloud computing in stream processing.  ...  Several solutions, including multiple software engines, have been developed for processing unbounded data streams in a scalable and efficient manner.  ...  This work has been carried out in the scope of a joint project between the French National Center for Scientific Research (CNRS) and the University of Melbourne.  ... 
arXiv:1709.01363v2 fatcat:ajven75pjrgqhkpmi2d3pxs5pu

Distributed data stream processing and edge computing: A survey on resource elasticity and future directions

Marcos Dias de Assunção, Alexandre da Silva Veith, Rajkumar Buyya
2018 Journal of Network and Computer Applications  
This paper surveys state of the art on stream processing engines and mechanisms for exploiting resource elasticity features of cloud computing in stream processing.  ...  Several solutions, including multiple software engines, have been developed for processing unbounded data streams in a scalable and efficient manner.  ...  This work has been carried out in the scope of a joint project between the French National Center for Scientific Research (CNRS) and the University of Melbourne.  ... 
doi:10.1016/j.jnca.2017.12.001 fatcat:twmpqzkb3nco3a7nwyhloe5qvu

Sensor observation streams within cloud-based IoT platforms: Challenges and directions

Antoine Auger, Ernesto Exposito, Emmanuel Lochin
2017 2017 20th Conference on Innovations in Clouds, Internet and Networks (ICIN)  
Observation streams can be considered as a special case of data streams produced by sensors.  ...  In order to bridge the gap between sensors and observation consumers, we have witnessed the design and the development of Cloudbased IoT platforms.  ...  ACKNOWLEDGEMENT This research was supported in part by the French Ministry of Defense through financial support of the Direction Générale de l'Armement (DGA).  ... 
doi:10.1109/icin.2017.7899407 dblp:conf/icin/AugerEL17 fatcat:njchl5tl25dxznsgtr3bf5spfq

Leveraging Fog Computing for Scalable IoT Datacenter Using Spine-Leaf Network Topology

K. C. Okafor, Ifeyinwa E. Achumba, Gloria A. Chukwudebe, Gordon C. Ononiwu
2017 Journal of Electrical and Computer Engineering  
Besides, the scalability requirements found in the current IoT data processing (in the cloud) can hardly be used for applications such as assisted living systems, Big Data analytic solutions, and smart  ...  The perspective offered in this paper explains how low-latency and bandwidth intensive applications can transfer data to the cloud (and then back to the edge application) without impacting QoS performance  ...  Acknowledgments This research was carried out as an extended work on Distributed Cloud Computing Network for SGEMS/EETACP project commissioned by the Department of Electronic Engineering, University of  ... 
doi:10.1155/2017/2363240 fatcat:7x7xvrmuf5dm7ixlu4m33ryxta

A Linked Data Reasoner in the Cloud [chapter]

Jules Chevalier
2013 Lecture Notes in Computer Science  
In this PhD thesis, we are interested in how distributed computing in the Cloud can help a linked data reasoner to scale. We present in this paper the early state of this thesis.  ...  Nevertheless, current methods for reasoning over linked data are well suited for small to medium datasets, and they fail at reaching the scale of the Web of Data.  ...  Frédérique Laforest, Christophe Gravier and Julien Subercaze, in charge of this thesis.  ... 
doi:10.1007/978-3-642-38288-8_59 fatcat:3ymssiz4zfdy5ngdeaoitzhdji

Studying Cloud as IaaS for Big Data Analytics : Opportunity, Challenges

Amitkumar Manekar, Dr Pradeepini Gera
2018 International Journal of Engineering & Technology  
post process of big data.  ...  Cloud computing is an agile and scalable resource access computation paradigm, provides heterogeneous platform seamlessly with infrastructure of internet, exclusively for the trapped and work on pre and  ...  This work is a comparative study and analysis for the research work title "Big Data Analysis in Cloud, a Cost minimizing Approach" in KLEF, CSE Department.  ... 
doi:10.14419/ijet.v7i2.7.11094 fatcat:x52j7a3ilngflbxjtnnvgznksq

Detailed author index

2014 2014 IEEE 30th International Conference on Data Engineering Workshops  
Processing in the Cloud 223 YCSB+T: Benchmarking Web-Scale Transactional Databases Fetai, Ilir 170 PolarDBMS: Fetzer, Christof 296 Auto-Scaling Techniques for Elastic Data Stream Processing  ...  62 Mapping Abstract Queries to Big Data Web Resources for On-the-Fly Data Integration and Information Retrieval Jerzak, Zbigniew 296 Auto-Scaling Techniques for Elastic Data Stream Processing  ... 
doi:10.1109/icdew.2014.6818289 fatcat:pgittr2frneyfpxu74z7xkyium

End-to-end quality aware optimization for multimedia clouds

Dimitris Athanasopoulos, Ilias Politis, Asimakis Lykourgiotis, Christos Tselios, Tasos Dagiuklas
2016 2016 International Conference on Telecommunications and Multimedia (TEMU)  
Cloud technologies and especially Software-Defined Networking is the perfect candidate technology in order to provide an elastic, dynamic provisioning of network resources that adapt to a highly changing  ...  environment, where application requirements and data volumes vary over time.  ...  ACKNOWLEDGEMENT This work is part of the Bilateral Greek-Israel DIOGENES project funded by the National Strategic Reference Framework.  ... 
doi:10.1109/temu.2016.7551931 dblp:conf/temu/AthanasopoulosP16 fatcat:b7bounbn3rg4jhedchtwsy2ygm

The novel cloud application technology with virtual platform

Ying-Chuan Chen, Yi-Lang Tsai, W.-H. Hsieh
2018 MATEC Web of Conferences  
Virtualization technology of cloud application service is the major research issue in recent years.  ...  it has some features including the high capacity for reliability, elasticity and customization.  ...  And there is a validation process for the adoption and development of new standards in the OpenStack project.  High scalability: This solution is already deployed in a lot of companies whose associated  ... 
doi:10.1051/matecconf/201816901007 fatcat:32md2pcmdbhwxfsrlmhuxdz7ea

Towards an Integrated Platform for Big Data Analysis [article]

Mahdi Bohlouli, Frank Schulz, Lefteris Angelis, David Pahor, Ivona Brandic, David Atlan, Rosemary Tate
2020 arXiv   pre-print
The amount of data in the world is expanding rapidly. Every day, huge amounts of data are created by scientific experiments, companies, and end users' activities.  ...  Main benefits of this approach are an enhanced scalability of the whole platform, a better parameterization of algorithms, a more efficient usage of system resources, and an improved usability during the  ...  (clients of the use case scenarios) in the elastic cloud.  ... 
arXiv:2004.13021v1 fatcat:xw2khemax5gs3n3p646br5fftq
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