Replication in Ficus distributed file systems

Popek, Gerald J.; Guy, Richard; Page, Thomas W.; Heidemann, John

doi:10.1109/mrd.1990.138235

Cited by 34 publications

(21 citation statements)

References 5 publications

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“…Others have proposed application-specific merge functions in varied contexts such as distributed file systems [33] and mobile computing [41]. However, such systems have not been widely popular mainly because their generality means merge functions are hard to write.…”

Section: Related Workmentioning

confidence: 99%

Declarative failure recovery for sensor networks

Gummadi

Kothari

Millstein

et al. 2007

Proceedings of the 6th International Conference on Aspect-Oriented Software Development

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Wireless sensor networks consist of a system of distributed sensors embedded in the physical world, and promise to allow observation of previously unobservable phenomena. Since they are exposed to unpredictable environments, sensor-network applications must handle a wide variety of faults: software errors, node and link failures, and network partitions. The code to manually detect and recover from faults crosscuts the entire application, is tedious to implement correctly and efficiently, and is fragile in the face of program modifications. We investigate language support for modularly managing faults. Our insight is that such support can be naturally provided as an extension to existing "macroprogramming" systems for sensor networks. In such a system, a programmer describes a sensor network application as a centralized program; a compiler then produces equivalent node-level programs. We describe a simple checkpoint API for macroprograms, which can be automatically implemented in a distributed fashion across the network. We also describe declarative annotations that allow programmers to specify checkpointing strategies at a higher level of abstraction. We have implemented our approach in the Kairos macroprogramming system. Experiments show it to improve application availability by an order of magnitude and incur low messaging overhead.

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Section: Related Workmentioning

confidence: 99%

Declarative failure recovery for sensor networks

Gummadi

Kothari

Millstein

et al. 2007

Proceedings of the 6th International Conference on Aspect-Oriented Software Development

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“…Examples include Coda [12], Ficus [30], and Locus [31]. These systems allow continued operations in the presence of failures, at the cost of sacrificing consistency if conflicting updates occur.…”

Section: Related Workmentioning

confidence: 99%

Hierarchical Replication Control in a Global File System

Zhang

Honeyman

2007

Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07)

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To meet the rigorous demands of large-scale data sharing in global collaborations, we present a replication scheme for NFSv4 that supports mutable replication without sacrificing strong consistency guarantees. Experimental evaluation indicates a substantial performance advantage over a single server system. With the introduction of a hierarchical replication control protocol, the overhead of replication is negligible even when applications mostly write and replication servers are widely distributed. Evaluation with the NAS Grid Benchmarks demonstrates that our system provides comparable -and often better -performance than GridFTP, the de facto standard for Grid data sharing.

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“…The issues investigated have been hoarding [25,27,42] and consistency [43,34]. Mobile web browsing applications face similar problems with prefetching data for use while disconnected [17,21].…”

Section: Mobile Storage Systemsmentioning

confidence: 99%

Managing the storage and battery resources in an image capture device (digital camera) using dynamic transcoding

Chandra

Ellis

Vahdat

2000

Proceedings of the 3rd ACM International Workshop on Wireless Mobile Multimedia

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Advances in hardware imaging technology and user demand for convenient mobile electronic image capture are fueling the development of inexpensive image capture devices that can acquire images rivaling the image quality of photographic film. Improvements in the hardware imaging technology have to be matched with intelligent image storage mechanisms that are aware of local storage and battery constraints. In this paper, we explore using a dynamic, informed image transcoding technique to manage the consumed battery and storage resources in digital cameras. Such application aware technologies are fundamental for the mass consumer acceptance of these newer digital technologies.We show that this technique can allow the camera to store an order of magnitude more images. For a moderate number of images (e.g. 40), transcoding techniques can also maintain high quality images. The availability of fast wireless networks can allow the camera to capture 58 high quality images (51 uploaded) before running out of battery power. Storage technologies with expensive read and write operations (such as micro disks) can have a minor negative impact on battery life because of the extra read and write operations associated with transcoding operations. We show that the ability to effectively communicate the power vs. size vs. quality tradeoff to the end user is important for applications to adapt to the prevailing operating conditions.

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Replication in Ficus distributed file systems

Cited by 34 publications

References 5 publications

Declarative failure recovery for sensor networks

Declarative failure recovery for sensor networks

Hierarchical Replication Control in a Global File System

Managing the storage and battery resources in an image capture device (digital camera) using dynamic transcoding

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