NIST’s Security Reference Architecture for the Cloud-First Initiative

By Ian Armas Foster

June 28, 2013

The United States is implementing a new “Cloud-First” computing strategy, in which they will start transferring applications from private datacenters to hybrid and public infrastructures. In the effort to reduce spending across the board, the government is taking steps to cut computing costs by moving as many computations and applications to the cloud as possible.

Indeed, as the report noted, “the goal is to accelerate the Federal government’s adoption of secure and effective cloud computing solutions to reduce costs and improve services.”

Of course, for that to be possible, the United States government will need to ensure maximum security for those cloud applications. The National Institute of Standards and Technology released their security reference architecture for cloud computing, setting an important baseline for cloud-based systems in the United States.  

“The approach to securing a cloud Ecosystem is intrinsically related to the cloud computing service model (SaaS, PaaS, or IaaS) and to the deployment model (Public, Private, Hybrid, or Community) that best fits the Consumer’s business missions and security requirements.” In the figure below, NIST identified the responsibilities of the users relative to deploying a cloud system, focusing on specific standards for each service level.

Indeed they presented their architecture largely in the context of the different deployment models IaaS, PaaS, and SaaS. “Understanding the relationships and interdependencies between the different cloud computing deployment models and service models is critical to understanding the security risks involved in cloud computing.”The below figure diagrams in detail how the deployment models relate to each other.

As can be seen by the image above, the SaaS, IaaS, and PaaS deployment models are covered under a service layer which itself lies within the usual orchestration setup that generally exists to regulate the software with the infrastructure.

In general, the government through NIST is looking to establish a risk-based approach regarding applications in the cloud. Here, risk-based involves developing an analytics system that utilizes risk analysis algorithms to determine the roles of the service providers, as explained below.

“The NCC-SRA introduces a risk-based approach to determine each cloud Actor’s responsibility for implementing specific controls throughout the life cycle of the cloud Ecosystem. Specifically, for each instance of the cloud Ecosystem, the security components are analyzed to identify the level of involvement of each cloud Actor in implementing those components.” That risk determination would happen through what the document referred to as a cloud broker, the full impact of which can be seen in the figure below.

In the document, NIST recognized that ensuring security across cloud platforms would be a different animal doing so for traditional IT structures. Cloud computing will nearly always involve at least one more variable in an organization that runs and operates the datacenters. This is of course on top of the various vendors providing the IaaS, SaaS and PaaS systems.

“A Consumer’s ability to comply with any business, regulatory, operational, or security requirements in a cloud computing environment is a direct result of the service and deployment model adopted by the agency, the cloud architecture, and the deployment and management of the resources in the cloud environment.”

According to the document, the NIST strategy is two-fold. The first is placing a high priority on establishing security, interoperability, and portability requirements while the second is to develop establish relationships with standards bureaus and leading cloud technology vendors in the private sector. Drawing upon the experience of those running applications in the cloud and keeping their data secure in the process, such as research organizations both public and private, will hopefully in NIST’s eyes prove advantageous in coming up with cloud tech standards.

Once that happens, it will be up to users to adapt to the standard set by the initiative. “For each use case of data migrated to the cloud, it is necessary for the Consumer to evaluate the particular security requirements in the specific cloud architectural context, and to map them to proper security controls and practices in technical, operational, and management classes.”

This cloud-first initiative, and a potentially unified security reference architecture could have significant implications for HPC applications running in the cloud. The US government’s main purpose here is to cut costs. The steps they take in accomplishing both that and still running numerous applications, many of which will be of a high performance nature, will further the field’s visibility and sustainability.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire