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eshel - Panache A Parallel File System Cache for Global...

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Panache: A Parallel File System Cache for Global File Access Marc Eshel Roger Haskin Dean Hildebrand Manoj Naik Frank Schmuck Renu Tewari IBM Almaden Research { eshel, roger, manoj, schmuck } @almaden.ibm.com, { dhildeb, tewarir } @us.ibm.com Abstract Cloud computing promises large-scale and seamless ac- cess to vast quantities of data across the globe. Appli- cations will demand the reliability, consistency, and per- formance of a traditional cluster file system regardless of the physical distance between data centers. Panache is a scalable, high-performance,clustered file system cache for parallel data-intensive applications that require wide area file access. Panache is the first file system cache to exploit parallelism in every aspect of its design—parallel applications can access and update the cache from multiple nodes while data and metadata is pulled into and pushed out of the cache in parallel. Data is cached and updated using pNFS, which performs parallel I/O between clients and servers, eliminating the single-server bottleneck of vanilla client-server file ac- cess protocols. Furthermore, Panache shields applica- tions from fluctuating WAN latencies and outages and is easy to deploy as it relies on open standards for high- performancefile serving and does not require any propri- etary hardware or software to be installed at the remote cluster. In this paper, we present the overall design and imple- mentation of Panache and evaluate its key features with multiple workloads across local and wide area networks. 1 Introduction Next generation data centers, global enterprises, and distributed cloud storage all require sharing of massive amounts of file data in a consistent, efficient, and re- liable manner across a wide-area network. The two emerging trends of offloading data to a distributed stor- age cloud and using the MapReduce [11] framework for building highly parallel data-intensive applications, have highlighted the need for an extremely scalable in- frastructure for moving, storing, and accessing mas- sive amounts of data across geographically distributed sites. While large cluster file systems, e.g., GPFS [26], Lustre [3], PanFS [29] and Internet-scale file systems, e.g., GFS [14], HDFS [6] can scale in capacity and ac- cess bandwidth to support a large number of clients and petabytes of data, they cannot mask the latency and fluc- tuating performance of accessing data across a WAN. Traditionally, NFS (for Unix) and CIFS (for Win- dows) have been the protocols of choice for remote file serving. Originally designed for local area access, both are rather “chatty” and therefore unsuited for wide-area access. NFSv4 has numerous optimizations for wide- area use, but its scalability continues to suffer from the ”single server” design. NFSv4.1, which includes pNFS, improves I/O performance by enabling parallel data transfers between clients and servers. Unfortu- nately, while NFSv4 and pNFS can improve network and I/O performance, they cannot completely mask WAN la- tencies nor operate during intermittent network outages.
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