TAILIEUCHUNG - Panache: A Parallel File System Cache for Global File Access

Consider that network and application firewalls, network and host Intrusion Detection/Preven- tion (IDS/IPS), access controls, sniffers, and Unified Threat Management systems (UTM)—all log security events that must be monitored. Every switch, router, load balancer, operating system, server, badge reader, custom or legacy application, and many other IT systems across the enter- prise, produce logs of security events, along with every new system to follow (such as virtual- ization). Most have their own log expression formats. Some systems, like legacy applications, don’t produce logs at all. . | 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 @ dhildeb tewarir @ Abstract Cloud computing promises large-scale and seamless access to vast quantities of data across the globe. Applications will demand the reliability consistency and performance 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 access protocols. Furthermore Panache shields applications from fluctuating WAN latencies and outages and is easy to deploy as it relies on open standards for high-performance file serving and does not require any proprietary hardware or software to be installed at the remote cluster. In this paper we present the overall design and implementation 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 reliable manner across a wide-area network. The two emerging trends of offloading data to a distributed storage cloud and using the MapReduce 11 framework for building highly parallel data-intensive applications have highlighted the need for an extremely scalable infrastructure for moving storing and accessing .

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