EGI Conference on Challenges and Solutions for Big Data Processing on Cloud

Session

EGI-GEANT Symposium: Technology

26 Sept 2014, 09:00

CWI Conference Centre

Conveners

EGI-GEANT Symposium: Technology

• Enol Fernandez (CSIC)

20. Open Cloud eXchange (OCX) as a part of the High Performance Cloud Services Delivery Infratsructure for Big Data Applications

Dr Yuri Demchenko (UvA)

26/09/2014, 09:00

Big Data applications and access to large scientific datasets require advanced networking infrastructure. This presentation will introduce into the concept of Open Cloud eXchange (OCX) that has been proposed by the GN3plus JRA1 activity to bridge the gap between two major components of the cloud services provisioning infrastructure: Cloud Service Provider (CSP) infrastructure; and cloud...

23. The Charon File System: A cloud-of-clouds infrastructure for Biobanks data storage and sharing

Alysson Bessani (University of Lisbon, Faculty of Sciences)

26/09/2014, 09:25

During the last years several cloud-of-clouds (or multi-cloud) storage systems have been proposed with the objective of minimizing trust on cloud providers, decreasing costs and improving performance [RACS, DepSky]. Such systems range from archival storage [RACS], object stores [DepSky], key-value stores [SPANStore] and even full-fledged file systems [SCFS]. In this talk we will present...

27. User-driven networking in IaaS clouds

Daniel Kouril (CESNET)

26/09/2014, 09:45

IaaS clouds are becoming a commodity service that attracts an increasing number of applications. New types of applications also bring new requirements on the cloud infrastructure, including those related to networking, which may not always be possible to address using current technologies. Isolated network environments, arbitrary network topologies and ISO Layer 3 services, full...

11. The ARGO A/R Compute Engine

Mr Kostas Kagkelidis (AUTH/GRNET)

26/09/2014, 10:05

In the context of the ARGO framework (initially the A/R EGI funded mini project) our team at AUTH (being part of a larger consortium formed by GRNET, SCRE and CNRS) has developed and deployed the A/R core compute engine, which uses Big Data tools for the processing of the incoming monitoring data on top of virtualised resources. The current production instance is deployed on ~okeanos (GRNET’s...