Possible contributions of UPV to WP5 (NDIGO- DataCloud) Germán Moltó UPV RIA

UPV as a Partner of INDIGO  Universitat Politècnica de València (UPV)  Institute for Molecular Imaging Technologies (I3M)  Grid and High Performance Computing Group (GRyCAP)  European Projects  EGEE, EELA, VENUS-C, EGI-* INDIGO-DataCloud RIA  20+ researchers in areas such as Cloud Computing, Biomedicine or Scientific Computing

IaaS Managing Services IM CloudVAMP EC3 VMCA VMRC CLUES A Vertical Elasticity IaaS Memory Overcommitment Manager for On-premise Clouds A Virtual Machine Consolidation Agent An energy management system for Clusters and Cloud infrastructures. Automatic configuration and recontextualization service. Creation of elastic virtual clusters on top of both public and on-premise IaaS providers A rich metadata repository of Virtual Machine Images. Open-Source developments available at

VMRC  A Virtual Machine Image Catalog Manager  To enable users to catalog their VMIs so that they can later be searched, retrieved and used.  Metadata: Operating System name, flavour and version, installed applications, etc.  URI naming convention to abstract from cloud provider:  one://server:port/image-id  ost://server:port/ami-id  aws://region/ami-id  gce://region/image-name  …  Federation  Index similar VMIs in different on-premises Clouds INDIGO-DataCloud RIA

Infrastructure Manager  Open source platform to deploy on demand customizable virtual computing infrastructures.  With the precise software configuration required.  Allow to deploy any kind of complex infrastructure.  No need of pre-configured VMIs.  Enable re-using of VMIs.  The same complex infrastructure can be deployed both on-premise and in a public Cloud.  Enables platform-agnostic or hybrid deployments INDIGO-DataCloud RIA  Modular design enabling:  Currently supports: OpenNebula, OpenStack, EC2, GCE, Azure, OCCI (FedCloud), FogBow, Docker, LibVirt.  Service with two APIs: XML-RPC and REST.

Example: Hadoop Cluster network privada network publica (outbound = 'yes’) system front ( cpu.arch='x86_64' and cpu.count>=2 and memory.size>=2048m and net_interface.0.connection = 'publica' and net_interface.1.connection = 'privada' and net_interface.1.dns_name = 'hadoopmaster' and disk.0.os.name='linux' and disk.0.os.flavour='ubuntu' and disk.0.os.version='12.04' and disk.0.applications contains (name='ansible.modules.micafer.hadoop') ) system wn ( cpu.arch='x86_64' and memory.size>=2048m and net_interface.0.connection='privada' and disk.0.os.name='linux' and disk.0.os.flavour='ubuntu') configure front - roles: - { role: 'micafer.hadoop', hadoop_master: 'hadoopmaster', hadoop_type_of_node: 'master' ) configure wn - roles: - { role: 'micafer.hadoop', hadoop_master: 'hadoopmaster' ) deploy front 1 deploy wn 5

Elastic Cloud Computing Cluster (EC3)  EC3 is an open-source tool to deploy self-managed virtual elastic clusters across hybrid Cloud infrastructures  Elasticity controlled by CLUES ( INDIGO-DataCloud RIA  Advantages  No upfront investment.  Usage-dependent cost.  Customizable.  Cost-aware  Automatic elasticity.  Hybrid scenarios (on-premises + public Cloud

Possible Contributions to WP5  T5.1/T5.3 Elasticity/Scalability Management  T5.3 High Level Application Deployment  E.g. Hadoop Clusters INDIGO-DataCloud RIA

Contacts Germán Moltó, Ignacio Blanquer, Miguel Caballer Instituto de Instrumentación para Imagen Molecular Universitat Politècnica de València Camino de Vera s/n 46022, Valencia SPAIN INDIGO-DataCloud RIA