DataDirect Networks Case Studies ACCELERATE: LIFE SCIENCES - Institute for Computational Biomedicine at Weill Cornell Medical College Implements Scalable Solution for Genomics and Epigenomics Research

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	ACCELERATE: LIFE SCIENCES - Institute for Computational Biomedicine at Weill Cornell Medical College Implements Scalable Solution for Genomics and Epigenomics Research DataDirect Networks

ACCELERATE: LIFE SCIENCES - Institute for Computational Biomedicine at Weill Cornell Medical College Implements Scalable Solution for Genomics and Epigenomics Research

DataDirect Networks

Technology Category	Infrastructure as a Service (IaaS) - Cloud Storage Services Infrastructure as a Service (IaaS) - Hybrid Cloud
Applicable Industries	Healthcare & Hospitals Life Sciences
Applicable Functions	Discrete Manufacturing Product Research & Development
Use Cases	Edge Computing & Edge Intelligence Predictive Maintenance
Services	Cloud Planning, Design & Implementation Services System Integration
Challenge	The Institute for Computational Biomedicine (ICB) at Weill Cornell Medical College was facing a challenge as they expanded their neuroscience, epigenomics, proteomics imaging facilities and brought online more genetic sequencers. Their legacy methodology of organically adding autonomous storage pools was no longer capable of meeting the computational needs of the researchers. The challenge was transitioning from their legacy method of adding a single dedicated RAID array (at a time), into something that was scalable and could meet their storage needs for years to come. As the data ingest rates continued to raise, the facility needed to look into a more robust, scalable and sustainable storage approach. Read More
About Customer	The Institute for Computational Biomedicine (ICB) at Weill Cornell Medical College is located on the upper east-side of Manhattan. The Institute is at the vanguard of advancements in epigenomics, genomics, proteomics and research in personalized medicine. These advances open the door to major scientific discoveries and conceptual breakthroughs. The Institute’s mission is to provide the resources and nurture the collaborative, multi-disciplinary environment that will make such breakthroughs possible. Surrounded by some of the largest genetic sequencing centers on the east coast, Weill Cornell collaborates with the New York Genome Center, New York Presbyterian Hospital, the Cornell University Center for Advanced Computing in Ithaca as well as Weill Cornell Medical College in Qatar (Middle East). Together these researchers are fundamentally shaping the future of personalized medicine. Read More
Solution	After evaluating a number of solutions they selected the DDN Storage Fusion Architecture running GRIDScaler parallel file system. This solution allowed Weill Cornell to start with two controllers and ten partially populated 60-slot trays and then grow the system to petabytes with a pay-as-you-grow plan. With this approach, they were able to maximize the dollars/GB while they incrementally scale performance and capacity by just adding disks. Another advantage of the DDN approach was that the SFA10K dual controllers could drive up to 20 trays with sixty (60) spinning or solid-state drives per tray. This level of flexibility allows the ICB to precision scale the storage pool to meet the exacting needs of the researcher’s workflows within the financial constraints of the college. Read More Log in to view content
Contents

Technology Category

Infrastructure as a Service (IaaS) - Cloud Storage Services

Infrastructure as a Service (IaaS) - Hybrid Cloud

Applicable Industries

Healthcare & Hospitals

Life Sciences

Applicable Functions

Discrete Manufacturing

Product Research & Development

Use Cases

Edge Computing & Edge Intelligence

Predictive Maintenance

Services

Cloud Planning, Design & Implementation Services

System Integration

Challenge

The Institute for Computational Biomedicine (ICB) at Weill Cornell Medical College was facing a challenge as they expanded their neuroscience, epigenomics, proteomics imaging facilities and brought online more genetic sequencers. Their legacy methodology of organically adding autonomous storage pools was no longer capable of meeting the computational needs of the researchers. The challenge was transitioning from their legacy method of adding a single dedicated RAID array (at a time), into something that was scalable and could meet their storage needs for years to come. As the data ingest rates continued to raise, the facility needed to look into a more robust, scalable and sustainable storage approach.

About Customer

The Institute for Computational Biomedicine (ICB) at Weill Cornell Medical College is located on the upper east-side of Manhattan. The Institute is at the vanguard of advancements in epigenomics, genomics, proteomics and research in personalized medicine. These advances open the door to major scientific discoveries and conceptual breakthroughs. The Institute’s mission is to provide the resources and nurture the collaborative, multi-disciplinary environment that will make such breakthroughs possible. Surrounded by some of the largest genetic sequencing centers on the east coast, Weill Cornell collaborates with the New York Genome Center, New York Presbyterian Hospital, the Cornell University Center for Advanced Computing in Ithaca as well as Weill Cornell Medical College in Qatar (Middle East). Together these researchers are fundamentally shaping the future of personalized medicine.

Solution

After evaluating a number of solutions they selected the DDN Storage Fusion Architecture running GRIDScaler parallel file system. This solution allowed Weill Cornell to start with two controllers and ten partially populated 60-slot trays and then grow the system to petabytes with a pay-as-you-grow plan. With this approach, they were able to maximize the dollars/GB while they incrementally scale performance and capacity by just adding disks. Another advantage of the DDN approach was that the SFA10K dual controllers could drive up to 20 trays with sixty (60) spinning or solid-state drives per tray. This level of flexibility allows the ICB to precision scale the storage pool to meet the exacting needs of the researcher’s workflows within the financial constraints of the college.

Impact #1	Centralized scalable storage system that can handle multiple mixed workloads and scale to grow with data generation and import for years to come.
Impact #2	Much higher availability and reliability due to DDN’s advanced RAID and SATAssure features as well as high performance.
Impact #3	Provisioning additional capacity has been reduced to a console command that takes just a few seconds to execute.

Impact #1

Centralized scalable storage system that can handle multiple mixed workloads and scale to grow with data generation and import for years to come.

Impact #2

Much higher availability and reliability due to DDN’s advanced RAID and SATAssure features as well as high performance.

Impact #3

Provisioning additional capacity has been reduced to a console command that takes just a few seconds to execute.

Benefit #1	Reduced the overall capacity need by more than 50 percent
Benefit #2	Provisioned a petabyte of storage in under one day

Benefit #1

Reduced the overall capacity need by more than 50 percent

Benefit #2

Provisioned a petabyte of storage in under one day

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Overview

ACCELERATE: LIFE SCIENCES - Institute for Computational Biomedicine at Weill Cornell Medical College Implements Scalable Solution for Genomics and Epigenomics Research

Operational Impact

Quantitative Benefit