Hybrid Cloud for Scientific Research
Hybrid Cloud Architecture for Genomic Research
The pace of data growth in organizations using genomic research is outpacing budgets and physical space needed for its support. To efficiently use this data, innovative organizations are bridging on-premises data center infrastructure with cloud resources to provide scalable access to data without sacrificing performance. These hybrid cloud architectures break the cycle of continuously adding expensive servers and storage to deliver on mission-critical work.
With Avere, cloud functionality can be added at a pace that matches current goals, objectives, and budgets. Existing storage resources can be optimized and fully used while migrating to new, cloud-ready scientific workflow models, resulting in a flexible life science IT infrastructure.
When it comes to working with next generation sequencing (NGS) data informatics, any deficiencies in infrastructure can quickly bring work to halt. The research generates large amounts of sequence data per run. IT must overcome issues of capacity, performance, collaboration, security, and interoperability. Avere FXT Edge filers keep the most in-demand data required currently by researchers on the fastest, most accessible storage while allowing organizations to take advantage of efficient, low-cost object storage and cloud compute to process more data in less time.
Healthcare entities often struggle with long-term storage of large radiology images. Their size can quickly take an unhealthy bite out IT budgets. Moving aging files to less expensive storage is a must to gain efficiencies that can scale with the growing use of radiology to diagnose and treat patients. But, timely access to these files remains important, eliminating many traditional storage types as effective options. Building an active radiology image archive using object storage fronted by Avere FXT Edge filers can provide scale, efficiency, and timely access to files. Avere allows for easy movement of aging files to public cloud providers and/or private object storage systems. Data stored in these archives remains active through familiar file system interfaces and reduces latency to the needed data.
Personalized medicine merges bioinformatics and clinical informatics. For a healthcare system, building an IT infrastructure to support personalized medicine is a new and different venture. IT needs to supply high-performance computation capabilities mimicking those found in HPC and Grid Computing environments while supporting the healthcare information systems used at the point-of-care. Translational medicine innovators are using Avere FXT Edge filers as a key part of this bridge, allowing high-performance access to data and the ability to use cost-effective cloud services in addition to on-premises IT infrastructure.
Analytics using NGS datasets are also increasingly placing constraints on compute resources. The demands include various workloads stemming from analytics, imaging systems, and other therapies, but offers the opportunity to redefine medicine. To do this, cloud computing for scientific research offers the perfect companion or an alternative to data centers. Using Avere vFXTs, life science researchers can access all of the compute resources needed easily, without moving large data sets from their current location in network-attached storage (NAS). These services can be turned on and off as needed, creating an efficient process to offset peak demand periods without large capital expenditures or time-consuming, disruptive data moves.
Moving data can be disruptive and difficult. However, data center moves and consolidations, as well as cloud storage adoption, make it necessary. Healthcare and scientific research organizations value Avere’s ability to create a single pool of storage using a global namespace and assist in transparently moving and mirroring large, active datasets.
Scale-Out Storage Performance Optimization
Many overprovision storage resources to gain speed. At the center of Avere’s technology is the separation of performance and capacity with our Edge-Core Architecture. Healthcare IT can scale performance efficiently without ripping and replacing storage core filers or expanding the data center. And Avere is fast — adding speed right where it is needed to accelerate some of the most important and intensive workloads.
Why Avere for the Sciences?
Avere Systems has become a dependable addition to many world-renowned life science research facilities because of the flexibility and performance benefits realized and our ability to support the large data sets common to the workflows.
- Easy-to-use and manage cloud-ready file system that works with or without existing storage infrastructure
- Faster access to data to keep productivity high, minimizing data access latency
- Scalability to support Petabyte-sized datasets
- Flexibility to store data where it makes the most sense for the organization
- Improve the ability to deliver on core missions with the opportunity to speed workflows and pipelines with easy access to unlimited cloud compute resources
- Manage costs by reducing the dependency on traditional storage and facilitating modernization with hybrid cloud infrastructures
Cloud-Enabled Data Centers
Research institutes, pharmaceutical research departments, and healthcare personalized medicine groups looking to leverage the cloud for analytic, engineering, and large file workloads use Avere to easily connect data centers to both cloud compute and storage resources. Adding Avere into the architecture also opens up the opportunity to integrate low cost object storage systems to support active archiving.
Cloud-enablement with Avere helps to manage costs of complex workloads, optimizes existing resources, and efficiently scales growing demand for IT resources.
High-Performance Storage for Scientific Data Sets
Use the Avere FXT Edge filer clusters to minimize latency in data centers supporting the large data storage needs of scientific research. Avere FXT Edge filer separate performance from capacity to reduce dependencies on traditional NAS, facilitate data migrations, and reduce WAN latency.