ممکن است صدای این قسمت خراب باشد.
How to fix it?
درباره این اپیزود
One of the goals of HPE’s Spaceborne Computer program is proving the value of edge computing. Spaceborne Computer-1 (SBC-1) was launched in August of 2017 with the latest available COTS (Commercial off the Shelf) hardware, including twenty solid state disks (SSDs) for storage. The disappointing durability of those SSDs will be covered; the Failure Analysis (FA) of them upon Return To Earth (RTE) will be presented and the mitigation done in Spaceborne Computer-2 will be detailed. HPE’s Spaceborne Computer-2 (SBC-2) launched in February of 2021 with over 6 TB of internal SSD storage. Onboard storage of ISS-generated “raw” data is critical to proving the value of edge computing, to delivering results and insights to scientists and researchers faster and to enabling deeper exploration of the cosmos. The storage design will be summarized, including the concept of operations (ConOps) for backup and disaster recovery. Several successful SBC-2 edge computing experiments will be reviewed, all of which demonstrate a reduction in download size to Earth of at least 95%. Additionally, Spaceborne Computer-2 has access to the ISS Payloads Network Attached Storage (PL-NAS). The PL-NAS is a NASA file server with five hard drive bays and allows onboard ISS systems to access a shared folder location on the PL-NAS. A summary of the decision to opt for SSDs on HPE’s Spaceborne Computer instead of traditional hard drives will be presented. SBC-2 exploitation of the PL-NAS for EVA safety operations will be detailed. Finally, the market for anticipated edge services is being better defined and concepts will be presented, all of which require stable and reliable storage at the edge.
Learning Objectives: 1)Storage considerations for space-based storage; 2) Value of capable "raw" storage to support edge computing, AI/ML and HPC; 3) Lessons learned from storage experiments in space; 4) Failure rates of SSDs in Space; 5) Future space-based services requiring storage.
Learning Objectives: 1)Storage considerations for space-based storage; 2) Value of capable "raw" storage to support edge computing, AI/ML and HPC; 3) Lessons learned from storage experiments in space; 4) Failure rates of SSDs in Space; 5) Future space-based services requiring storage.
انگلیسی
ایالات متحده آمریکا
جستجوی اپیزودهای گذشته
اپیزودهای قبلی Storage Developer Conference را جستجو کن.
قسمت های دیگر در این پادکست
Los Alamos is working to revolutionize how scientific data management is done, moving from large Petabyte sized files generated periodically by extreme scale simulations to a record and column based approach. Along the journey, the NVMe Computational Storage efforts became a strategic way to help a…
Large-scale data analytics, machine learning, and big data applications often require the storage of a massive amount of data. For cost-effective high bandwidth, many data centers have used tiered storage with warmer tiers made of flashes or persistent memory modules and cooler tiers provisioned wi…
Data persistence on CXL is an essential enabler toward the goal of instant-on processing. DRAM class performance combined with non-volatility on CXL enables a new class of computing architectures that can exploit these features and solve real-world bottlenecks for system performance, data reliabili…
Computational Storage is a new field that is addressing performance and scaling issues for compute with traditional server architectures. This is an active area of innovation in the industry where multiple device and solution providers are collaborating in defining this architecture while actively …
Synthetic DNA-based data storage is a major attraction due to the possibility of storage over long periods. This technology is a solution for the current data centers, reducing energy consumption and physical storage space. Nowadays, the quantity of data generated has been growing exponentially, wh…
سلب مسئولیت: پادکست و آثار هنری تعبیه شده در این صفحه متعلق به SNIA Technical Council است که متعلق به صاحب آن است و به Listen Notes، Inc وابسته یا تایید نشده است.
ویرایش
از کمک شما برای بروز نگهداشتن پایگاهدادههای پادکست سپاسگزاریم