Ezra Silvera, IBM Research, presents the IBM vision and the approach for the Design Phase of the HNSciCloud tender.

1. 1
IBM Cloud & HelixNebula
Ezra Silvera (ezra@il.ibm.com)
IBM Research

2. 2
IBM cloud & HelixNebula – perfect alignment
• Cloud is one of the main strategic directions in IBM
– Including cognitive, analytics, and more
• Large number of relevant solutions and technologies
• Intensive on-going development and research towards new capabilities
• Hybrid cloud is a key component in the existing and future cloud strategy
Fully aligned with the HelixNebula initiative
On-Premises IT
Public
Dedicated and Local
Private

3. 3
Our approach for HelixNebula
• Build the base solution on top of existing proven IBM technologies
– Important in order to achieve a solid and stable solution
• Focus the project on HNSciCloud unique requirements
– Explore innovative ways to extend existing solutions and bridging technology gaps
– Push back innovations to IBM technologies  Make available to the market
• Focus on open technologies and public available services
– Strong contributor to open communities (e.g., OpenStack, Docker, Kubernets, etc..)

4. 4
Build on top of IBM SoftLayer IaaS
• Over 45 global cloud centers connected by secure, high-speed network
– enable high bandwidth integration to GEANT
• Variety of choices for flexibility and control (BM, VM, etc..)
– Match special requirements for computation, isolation, networking, etc..
– Targeting HPC workloads requirements
• Open APIs with single pane customer portal
• Excellent support for Hybrid cloud setups
– Support secure integration to on-premises: Single Sign-On (SSO) Services using the SAML
– Can build a custom solution on top of SL Bare-Metal (e.g., OpenStack, VMWare, etc.)

5. 5
Leveraging IBM containers capabilities
• Container trend is increasing dramatically
• We see usage of containers across many areas
• IBM container service
• Fully managed hosted platform
• Including: Integrated logging, monitoring, load balancing,
registry and auto-scaling
• Advanced security features
• Built using Docker technology and support for Docker APIs
IBM CONTAINERS

6. 6
Leveraging IBM containers capabilities (Cont.)
• Take advantage of the deep knowledge gained in building container service
• Explore the best fit of containers to HPC workloads
• Network capabilities, isolation model, storage connectivity, etc.
• Build on top of different server types to match special needs
• Bare-Metal, VMs, etc..
• Support different management frameworks (Kubernetes, etc..)
• According to the specific workload need E.g., deploy complex services, self-healing, etc..
Docker Swarm

7. 7
Data Access using the IBM Spectrum scale
• Provides a high performance parallel and distributed filesystem,
• Supports standard POSIX file system interface
• Has seamless capacity and performance scaling
• Able to cache data on demand asynchronously (using AFM)
– The cashing mechanism is highly configurable through policy engine and policies
• Well suited for handling very large datasets
– With a lot of concurrent accesses for a large number of client servers.
Storage Resource Pools
Global Namespace

8. 8
Data Access using the IBM Spectrum scale (Cont.)
• AFM (Active File Management) - enables sharing of data
across clusters
– A single name space view across sites around the world
– Namespace are truly global by automatically managing asynchronous
replication of data
– Name space maintenance occurs asynchronously  applications can
continue operating without being constrained by network bandwidth.
GPFS
GPFS
GPFS

9. 9
The IBM HelixNebula team
• Build a team around the special challenges of HelixNebula
• Take advantage of the vast knowledge and expertise across the company
• Pulling into the team contributors from all relevant sections
– IBM Research and Development, IBM Cloud, IBM Systems, IBM Global Services, and more

10. 10
Thank You
ezra@il.ibm.com