The file system metadata service is the scalability bottleneck for many of today’s workloads. Common approaches for attacking this “metadata scaling wall” include: caching inodes on clients and servers, caching parent inodes for path traversal, and …
HPC and data center scale application developers are abandoning POSIX IO because file system metadata synchronization and serialization overheads of providing strong consistency and durability are too costly -- and often unnecessary -- for their …
As applications become more complex, and the level of concurrency in systems continue to rise, developers are struggling to scale complex data models on top of a traditional byte stream interface. Middleware tailored for specific data models is a …
Cloud-based services have become an attractive alternative to in-house data centers because of their flexible, on-demand availability of compute and storage resources. This is also true for scientific high-performance computing (HPC) applications …
File system metadata management has become a bottleneck for many data-intensive applications that rely on high-performance file systems. Part of the bottleneck is due to the limitations of an almost 50-year-old interface standard with metadata …
Exascale supercomputers will have the potential for billion-way parallelism. While physical implementations of these systems are currently not available, HPC system designers can develop models of exascale systems to evaluate system design points. …