Yottabyte Research Cloud certified for CUI data

By | Data, General Interest, Happenings, News

Advanced Research Computing – Technology Services (ARC-TS) is pleased to announce that the Yottabyte Research Cloud (YBRC) computing platform is now certified to accept data designated as Controlled Unclassified Information (CUI). This includes certification for YBRC and its associated services, enabling secure data analysis on Windows and Linux virtual desktops as well as secure hosting of databases and data ingestion.

For more information on CUI, see the U-M Research Ethics and Compliance CUI webpage and Sensitive Data Guide: Controlled Unclassified Information (CUI). CUI regulations apply to federal non-classified information requiring security controls; an example of CUI data often used in research is data from the Centers for Medicare and Medicaid Services.

The new capability ensures the security of CUI data through the creation of firewalled network enclaves, allowing CUI data to be analyzed safely and securely in YBRC’s flexible, robust and scalable environment.  Within each network enclave, researchers have access to Windows and Linux virtual desktops that can contain any software required for their analysis pipeline.

This capability also extends to our database and ingestion services:

  • Structured databases:  MySQL/MariaDB, and PostgreSQL.
  • Unstructured databases: Cassandra, InfluxDB, Grafana, and ElasticSearch.
  • Data ingestion: Redis, Kafka, RabbitMQ.
  • Data processing: Apache Flink, Apache Storm, Node.js and Apache NiFi.
  • Other data services are available upon request.

The CUI certification extends YBRC’s existing capabilities for handling sensitive data; the service can also take HIPAA data, Export Controlled REsearch (ITAR, EAR), Personally Identifiable Information, and more. Please see Sensitive Data Guide: Yottabyte Research Cloud for more information.

YBRC is supported by U-M’s Data Science Initiative launched in 2015 and was created through a partnership between Yottabyte and ARC-TS. These tools are offered to all researchers at the University of Michigan free of charge, provided that certain usage limits are not exceeded. Large-scale users who outgrow the no-cost allotment may purchase additional YBRC resources. All interested parties should contact arcts-support@umich.edu.

Yottabyte Research Cloud able to accept HIPAA-aligned data

By | General Interest, HPC, News

Advanced Research Computing – Technology Services (ARC-TS) is pleased to announce that the Yottabyte Research Cloud (YBRC) computing platform is now HIPAA-compliant. This means that YBRC and its associated services can accept restricted data, enabling secure data analysis on Windows and Linux virtual desktops as well as secure hosting of databases and data ingestion.

The new capability ensures the security of restricted data through the creation of firewalled network enclaves, allowing HIPAA-aligned data to be analyzed safely and securely in YBRC’s flexible, robust and scalable environment.   Within each network enclave, researchers have access to Windows and Linux virtual desktops that can contain any software required for their analysis pipeline.

This capability also extends to our database and ingestion services:

  • Structured databases:  MySQL/MariaDB, and PostgreSQL.
  • Unstructured databases: Cassandra, InfluxDB, Grafana, and ElasticSearch.
  • Data ingestion: Redis, Kafka, RabbitMQ.
  • Data processing: Apache Flink, Apache Storm, Node.js and Apache NiFi.
  • Other data services are available upon request.

YBRC is supported by U-M’s Data Science Initiative launched in 2015. YBRC was created through a partnership between Yottabyte and ARC-TS announced last fall.

These tools are offered to all researchers at the University of Michigan free of charge, provided that certain usage restrictions are not exceeded. Large-scale users who outgrow the no-cost allotment may purchase additional YBRC resources. All interested parties should contact hpc-support@umich.edu.

U-M, Yottabyte partner to accelerate data-intensive research

By | General Interest, News

CONTACT: Dan Meisler, ARC Communications Manager, 734-764-7414, dmeisler@umich.edu

A strategic partnership between the University of Michigan and software company Yottabyte promises to unleash a new wave of data-intensive research by providing a flexible computing cloud for complex computational analyses of sensitive and restricted data.

The Yottabyte Research Cloud will provide scientists high performance, secure and flexible computing environments that enable the analysis of sensitive data sets restricted by federal privacy laws, proprietary access agreements, or confidentiality requirements. Previously, the complexity of building secure and project-specific IT platforms often made the computational analysis of sensitive data prohibitively costly and time consuming.

The system is built on $5.5 million worth of hardware and software donated to the University by Yottabyte; U-M will provide $2 million to support delivery of services to researchers and general operations.

Brahmajee Nallamothu, professor of internal medicine, tested a pilot installation of the Yottabyte Research Cloud at the U-M Institute of Healthcare Policy and Innovation for his research on such topics as predictors of opioid use after surgery and the costs and uses of cancer screenings under the Affordable Care Act.

“We recently moved a healthcare claims database, which is multiple terabytes in size and requires a great deal of memory and fast storage to process, onto the pilot platform,” Nallamothu said. “The platform allows us to immediately increase or decrease computing resources to meet demand while permitting multiple users to access the data safely and remotely. Our previous setup relied on network storage and self-managed hardware, which was extremely inefficient compared to what we can do now.”

“The Yottabyte Research Cloud will improve research productivity by reducing the cost and time required to create the individualized, secure computing platforms that are increasingly necessary to support scientific discovery in the age of Big Data,” said Eric Michielssen, associate vice president for advanced research computing at U-M.

“With the Yottabyte Research Cloud, researchers will be able to ask more questions, faster, of the ever-expanding and massive sets of data collected for their work,” said Yottabyte CEO Paul E. Hodges, III. “We are very pleased to be a part of the diverse and challenging research environment at U-M. This partnership is a great opportunity to develop and refine computing tools that will increase the productivity of U-M’s world class researchers.”

Many U-M scientists are working on a variety of research projects that could benefit from use of the Yottabyte Research Cloud:

  • Healthcare research, for example in precision medicine, often requires working with sensitive patient information and large volumes of diverse data types. This research can yield results that positively impact patients’ lives, but often involves the analysis of millions of clinical observations that can include genomic, hospital, outpatient, pharmaceutical, laboratory and cost data. This requires a secure high performance computing ecosystem coupled to massive amounts of multi-tiered storage.
  • In the social sciences, U-M research requires secure, remote access to sensitive research data about substance abuse, mental health, and other topics.
  • Transportation researchers who mine large and sensitive datasets — for example, a 24 Terabyte dataset that includes videos of drivers’ faces and GPS traces of their journeys — also stand to benefit from the security features and computing power.
  • In learning analytics, studies of the persistence of teacher effects on student learning could benefit from the enclaves to store and analyze data that includes observational measures scored from classroom videos, and elementary and middle school students’ scores on standardized tests.
  • Researchers in brain science will be able to use the Yottabyte Research Cloud to investigate a wide range of topics including  the effects of aging on brain function and structure and how we focus our attention in the presence of distraction.

The Yottabyte Research Cloud is U-M’s first foray into software-defined infrastructure for research, allowing on-the-fly personalized configuration of any-scale computing resources, which promises to change the way traditional IT infrastructure systems are deployed across the research community.  

More about Yottabyte:  www.yottabyte.com.

More about Yottabyte Research Cloud: arc-ts.umich.edu/yrc

Questions: dmeisler@umich.edu