21,309 Hits in 7.4 sec

Exploiting Stream Reasoning to Monitor Multi-Cloud Applications

Marco Miglierina, Marco Balduini, Narges Shahmandi Hoonejani, Elisabetta Di Nitto, Danilo Ardagna
2013 International Semantic Web Conference  
This demo shows how we have used a stream reasoning mechanism, C-SPARQL, as the main component of a Monitoring Platform for multi-Clouds applications, that is, applications replicated or distributed on  ...  The C-SPARQL engine executes monitoring queries on data gathered both from application-level components deployed on the Cloud and from Cloud-level resources.  ...  Discussion The purpose of this demo is to show an application of stream reasoning on monitoring of Cloud-based applications.  ... 
dblp:conf/semweb/MiglierinaBHNA13 fatcat:tasdibgacfgflijc4p3y5w5pcq

Prestocloud: Proactive Cloud Resources Management At The Edge For Efficient Real-Time Big Data Processing

Yiannis Verginadis, Iyad Alshabani, Gregoris Mentzas, Nenad Stojanovic
2017 Zenodo  
demanding cloud applications.  ...  Among the greatest challenges of cloud computing is to automatically and efficiently exploit infrastructural resources in a way that minimises cloud fees without compromising the performance of resource  ...  ., 2015) ), usually don't exploit multi-cloud environments and present limited adaptation capabilities, while cloud-based data intensive applications, up to now, cannot anticipate adaptations based on  ... 
doi:10.5281/zenodo.1133307 fatcat:c4frsg4tmfhgjefobwblr64fnu

Towards Cross-Layer Monitoring of Multi-Cloud Service-Based Applications [chapter]

Chrysostomos Zeginis, Kyriakos Kritikos, Panagiotis Garefalakis, Konstantina Konsolaki, Kostas Magoutis, Dimitris Plexousakis
2013 Lecture Notes in Computer Science  
Monitoring the performance and functionality of SBAs deployed on multiple Cloud providers (in what is also known as Multi-Cloud setups) and adapting them to variations/events produced by several layers  ...  Cloud computing is becoming a popular platform to deliver service-based applications (SBAs) based on service-oriented architecture (SOA) principles.  ...  The PaaS monitoring component exploits an existing cross-PaaS application management solution [11] which offers a Cloud technology-agnostic PaaS monitoring functionality and an SLA management layer,  ... 
doi:10.1007/978-3-642-40651-5_16 fatcat:3wvofz2iybad5hxdynqvadukxm

JetStream: Enabling high throughput live event streaming on multi-site clouds

Radu Tudoran, Alexandru Costan, Olivier Nano, Ivo Santos, Hakan Soncu, Gabriel Antoniu
2016 Future generations computer systems  
JetStream is able to self-adapt to the streaming conditions by modeling and monitoring a set of context parameters.  ...  The results show a 3x increase of the transfer rate using the adaptive multi-route streaming, compared to state of the art solutions.  ...  Acknowledgments The authors would like to thank Andreea Pintilie for her valuable input related to the ant-based algorithm for the intermediate node selection.  ... 
doi:10.1016/j.future.2015.01.016 fatcat:sjw2hxrbvvfqvpknnj6r6dtbea

Cloud Patterns [chapter]

Teodor-Florin Fortiş, Nicolas Ferry
2016 SpringerBriefs in Applied Sciences and Technology  
., the authors expose a basic pattern-oriented view on Cloud computing, together with relevant patterns, view which is also applicable in the case of multi-Cloud applications.  ...  Cloud bursting, elastic environment, multi-tenancy, Cloud deployment models, and others.  ...  In the case of multi-Cloud applications, the providers of these applications will attempt to identify and exploit particularities of the underlying Cloud solutions in order to achieve an optimization of  ... 
doi:10.1007/978-3-319-46031-4_11 fatcat:wk66w2lf7nbxtin7wzm2b4xi6a


Radu Tudoran, Olivier Nano, Ivo Santos, Alexandru Costan, Hakan Soncu, Luc Bougé, Gabriel Antoniu
2014 Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems - DEBS '14  
It further aggregates the available bandwidth by enabling multi-route streaming across cloud sites.  ...  JetStream is able to self-adapt to the streaming conditions by modeling and monitoring a set of context parameters.  ...  ACKNOWLEDGMENT The authors would like to thank Costin Grigoras (CERN) for his valuable support and insights on the MonALISA monitoring traces of the ALICE experiment.  ... 
doi:10.1145/2611286.2611298 dblp:conf/debs/TudoranNSCSBA14 fatcat:gvprtr4ot5avba3u6skwhk64ky

A Scalable lnternet-of-Vehicles Service over Joint Clouds

Yong Zhang, Mingming Zhang, Tianyu Wo, Xuelian Lin, Renyu Yang, Jie Xu
2018 2018 IEEE Symposium on Service-Oriented System Engineering (SOSE)  
Considering the process efficiency, geo-distributed data is typically collected and exploited on different Clouds, making it significantly essential for IoV application to be deployed on multiple Clouds  ...  Multiple replication mechanism is utilized to achieve the cross-cloud parallel processing, thereby effectively handling the scalability issues in the massive-scale vehicle data processing.  ...  • [Q3] How to exploit multi-source data over joint Cloud environment to improve the effectiveness of the data analysis within the IoV system?  ... 
doi:10.1109/sose.2018.00035 dblp:conf/sose/ZhangZWLYX18 fatcat:nrtref7o35ajrml3sl2oxnsmdu

Analytics-as-a-Service in a Multi-Cloud Environment through Semantically enabled Hierarchical Data Processing [article]

Prem Prakash Jayaraman, Charith Perera, Dimitrios Georgakopoulos, Schahram Dustdar, Dhavalkumar Thakker, Rajiv Ranjan
2016 arXiv   pre-print
There is a lack of both - architectural blueprints that can support such diverse, multi-cloud environments, and corresponding empirical studies that show feasibility of such architectures.  ...  A large number of cloud middleware platforms and tools are deployed to support a variety of Internet of Things (IoT) data analytics tasks.  ...  Dimitrios Georgakopoulos, Schahram Dustdar, and Dhavalkumar Thakker were mentors and contributed to brainstorming, designing and help structure the manuscript.  ... 
arXiv:1606.07935v1 fatcat:fiuhjbrqivcq7lsvqnydfze4ra

Behavioral Modeling for Suspicious Process Detection in Cloud Computing Environments

Andrey Dolgikh, Zachary Birnbaum, Yu Chen, Victor Skormin
2013 2013 IEEE 14th International Conference on Mobile Data Management  
One of the defining features of cloud computing, multi-tenancy provides significant benefits to both clients and service providers by supporting elastic on-demand resource provisioning and efficient resource  ...  In this work, a behavioral modeling scheme is proposed to detect suspicious processes on the highest semantic level.  ...  In order to protect user application executions, the normal approach to monitor the behavior of programs running on cloud servers is to integrate monitoring or logging modules into a higher privileged  ... 
doi:10.1109/mdm.2013.90 dblp:conf/mdm/DolgikhBCS13 fatcat:uvclz2d2l5dopnmgmzezjblbri

An Actor-centric, Asset-Based Monitor Deployment Model for Cloud Computing

Uttam Thakore, Gabriel A. Weaver, William H. Sanders
2013 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing  
Send comment regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services.  ...  Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining  ...  ACKNOWLEDGMENT The authors would like to thank Jenny Applequist and Carmen Cheh for their comments and revisions.  ... 
doi:10.1109/ucc.2013.67 dblp:conf/ucc/ThakoreWS13 fatcat:ttkpntioejamjipoqt7djy5bym

Cloud-agnostic architectures for machine learning based on Apache Spark

Enikő Nagy, Róbert Lovas, István Pintye, Ákos Hajnal, Péter Kacsuk
2021 Advances in Engineering Software  
However, the automated deployment of multi-VM platforms on various clouds leveraging on such reference architectures may raise several issues.  ...  These pre-configured reference architectures can be automatically deployed even by the data scientist on-demand, using a multi-cloud approach for a wide range of cloud systems like Amazon AWS, Microsoft  ...  On behalf of the Project Occopus, we thank for the usage of ELKH Cloud ( that significantly helped us achieve the results published in this paper, and Attila Csaba Marosi for his  ... 
doi:10.1016/j.advengsoft.2021.103029 fatcat:vxl4axbvn5apvah5mgpt3kkqpa

Bridging Data in the Clouds: An Environment-Aware System for Geographically Distributed Data Transfers

Radu Tudoran, Alexandru Costan, Rui Wang, Luc Bouge, Gabriel Antoniu
2014 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing  
Our solution is environmentaware, as it monitors and models the global cloud infrastructure, and offers predictable data handling performance for transfer cost and time.  ...  Thus, to leverage the full computation power of the clouds, global data processing across multiple sites has to be fully enabled.  ...  The authors would like to thank the Azure support teams from ATL Europe for their valuable input and feedback.  ... 
doi:10.1109/ccgrid.2014.86 dblp:conf/ccgrid/TudoranCWBA14 fatcat:gzzznyag7rbvzlf3qfgi7nvhj4

Monitoring in a Multi-cloud Environment [chapter]

Marco Miglierina, Elisabetta Di Nitto
2016 SpringerBriefs in Applied Sciences and Technology  
Tower 4Clouds is a monitoring platform built with multi-cloud applications in mind.  ...  It offers a model-based approach that helps the user to focus on abstract concepts when configuring the monitoring activity of complex and heterogeneous applications running on multiple clouds.  ...  The DDA core is the C-SPARQL engine, a general purpose RDF stream reasoner based on the C-SPARQL language [2] , which we exploited to monitor applications [3] .  ... 
doi:10.1007/978-3-319-46031-4_5 fatcat:qeiolx7bjneopfttbwpxr7yoxm

Utilising stream reasoning techniques to underpin an autonomous framework for cloud application platforms

Rustem Dautov, Iraklis Paraskakis, Mike Stannett
2014 Journal of Cloud Computing: Advances, Systems and Applications  
The main idea of this approach is to encode values, monitored within cloud application platforms, using Semantic Web languages, which then allows us to integrate semantically-enriched observation streams  ...  ., Paraskakis, I. and Stannett, M.P. 2794-8614 (2014) Utilising stream reasoning techniques to underpin an autonomous framework for cloud application platforms.  ...  Acknowledgements The research leading to these results has received funding from the European Union's Seventh Framework Programme (FP7-PEOPLE-2010-ITN) under grant agreement n • 264840.  ... 
doi:10.1186/s13677-014-0013-5 fatcat:77lksagfjba6bibgfpw3gbwsru

Efficient Media Streaming with Collaborative Terminals for the Smart City Environment

Jordi Mongay Batalla, Piotr Krawiec, Constandinos X. Mavromoustakis, George Mastorakis, Naveen Chilamkurti, Daniel Negru, Joachim Bruneau-Queyreix, Eugen Borcoci
2017 IEEE Communications Magazine  
Such applications are associated with the request of exploiting considerable amount of data, which is difficult to achieve especially in dense urban environments.  ...  The efficiency of the presented system is enhanced through the use of adaptive streaming technology with multiple description coding, well suited to multi-path delivery.  ...  Therefore, Evolutionary Multi-objective Optimization [8] seems to be a reasonable approach for solving the tasks of resource control in collaborative streaming in smart cities.  ... 
doi:10.1109/mcom.2017.1600225cm fatcat:elc2azyd5nfq7o3jwdrwyvtfay
« Previous Showing results 1 — 15 out of 21,309 results