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Cloud Computing

Sponsors

IBM Cesk√° republika s.r.o.
Cisco Research
Cesnet

Team

Luk√°Ň° Kencl (Project Leader), Pavol Mulinka, OndŇôej Tom√°nek

We conduct research that addresses two primary cloud-computing challenges: cloud data security and cloud latency. With the trend of cloud computing booming, companies are considering moving their applications to the cloud infrastructure, hoping to reduce overall operational costs. The cloud services market is growing fast but not so do the service provider offerings, which often vary only in terms of guaranteed storage capacity and bandwidth. Aspects such as data security or performance guarantees often remain obscure and may result in non-negligible additional costs or vulnerabilities.

Cloud Data Protection

Remote data storage services are very popular nowadays, be it cloud or various file-sharing websites. The problem of ensuring security in these services is imminent and even though many proprietary solutions exist, there is still no generally accepted cost-effective solution providing sufficient protection to the data in these storages. Strong semantically secure client-side encryption provides "perfect" security but prevents usage of any space-saving techniques and is thus extremely expensive for the provider. In this work, we investigate schemes allowing some data processing or reduction, while also providing a considerable security for the data. This work is in collaboration with IBM Research - Zurich.

Cloud Latency

Data-handling latency remains often a mission-critical application requirement and also a vital user-satisfaction parameter, yet its origins and means of control in the cloud-computing scenario remain poorly analyzed and understood. This research will take a deep look in the entire cloud-computing distributed system and analyze its elements. We employ theoretical concepts from the fields of computer networking and apply them to build a model for yielding optimized cloud network architectures and protocols.

Our goal is to take a measurements-based approach by constructing a cloud monitoring platform. A centralized monitor, residing in RDC network, collects data and generates statistics. Distributed probes capture raw traffic information and send them to the monitor. Our vision is to create a measurements-based cloud-latency model which can subsequently be optimized.

Publications

Jan Stanek, Luk√°Ň° Kencl, Alessandro Sorniotti, Elli Androulaki
A Secure Data Deduplication Scheme for Cloud Storage
18th International Conference on Financial Cryptography and Data Security (FC)
March 3‚Äď7, 2014 | Rockley, Barbados
[ ABSTRACT ]   [ FULL DOCUMENT ]


Ondrej Tom√°nek, Luk√°Ň° Kencl
CLAudit: Planetary-Scale Cloud Latency Auditing Platform
2nd IEEE International Conference on Cloud Networking (CloudNet)
November 11-13, 2013 | San Francisco, CA, USA
[ ABSTRACT ]   [ FULL DOCUMENT ]


Jir√≠ Danihelka, Luk√°Ň° Kencl
Collaborative 3D Environments over Windows Azure
IEEE International Symposium on Mobile Cloud, Computing and Service Engineering
March 20-28, 2013 | San Francisco Bay, CA, USA
[ ABSTRACT ]   [ FULL DOCUMENT ]


Zdenek Bumb√°lek, Jan Zelenka, Luk√°Ň° Kencl
Cloud-based Assistive Speech-Transcription Services
13th International Conference on Computers Helping People with Special Needs (ICCHP)
July 11-13, 2012 | Linz, Austria
[ ABSTRACT ]   [ FULL DOCUMENT ]


Jir√≠ Danihelka, Luk√°Ň° Kencl
Interactive 3-D Services Over Windows Azure
Cloud Futures Workshop 2012
May 7‚Äď8, 2012 | Berkeley, CA, USA
[ ABSTRACT ]   [ FULL DOCUMENT ]


Vojtech Uhl√≠r, Ondrej Tom√°nek, Luk√°Ň° Kencl
Latency‚Äďbased Benchmarking of Cloud Service Providers
IEEE/ACM 9th International Conference on Utility and Cloud Computing
2016 | Tongji University ‚Äď Shanghai, China
[ ABSTRACT ]   [ FULL DOCUMENT ]


Zdenek Kouba, Ondrej Tom√°nek, Luk√°Ň° Kencl
Evaluation of Datacenter Network Topology Influence on Hadoop MapReduce Performance
Cloud Networking (Cloudnet), 2016 5th IEEE International Conference on
| Pisa, Italy
[ ABSTRACT ]   [ FULL DOCUMENT ]


Pavol Mulinka, Luk√°Ň° Kencl
Learning from Cloud latency measurements
IEEE ICC
Workshop on Cloud Computing Systems, Networks, and Applications (CCSNA)
2015 | London, UK
[ ABSTRACT ]   [ FULL DOCUMENT ]


Technical Reports

Jose Lopez Civico
RDC-TR-13-1 - Measuring Latency in Windows Azure using a Collaborative 3D Environment
[ ABSTRACT ]   [ FULL DOCUMENT ]

Ondrej Tom√°nek, Luk√°Ň° Kencl
RDC-TR-13-2 - CLAudit: Planetary-Scale Cloud Latency Auditing Platform
[ ABSTRACT ]   [ FULL DOCUMENT ]

Florence Guitard, Luk√°Ň° Kencl
RDC-TR-11-1 - Windows Azure and SIP
[ ABSTRACT ]   [ FULL DOCUMENT ]

Slides

Wireless Days 2013 Keynote - Mobile Cloud Issues

[ ABSTRACT ] | [ SLIDES ]

Latency-based benchmarking of Cloud Service Providers

[ ABSTRACT ] | [ SLIDES ]

Contact
R&D Centre (RDC) for Mobile Applications
Dept of Telecommunications Engineering
Faculty of Electrical Engineering
Czech Technical University in Prague
Technick√° 2, 166 27 Prague 6
Czech Republic

Tel.: (+420) 224 355 991
Fax.: (+420) 233 335 999
E-mail: info@rdc.cz