NDLI: Scalable failure recovery for high-performance data aggregation

Content Provider	IEEE Xplore Digital Library
Author	Arnold, D.C. Miller, B.P.
Copyright Year	2010
Description	Author affiliation: Computer Sciences Department, University of Wisconsin, Madison, Wisconsin USA (Miller, B.P.) \|\| Department of Computer Science, University of New Mexico, Albuquerque, New Mexico USA (Arnold, D.C.)
Abstract	Many high-performance tools, applications and infrastructures, such as Paradyn, STAT, TAU, Ganglia, SuperMon, Astrolabe, Borealis, and MRNet, use data aggregation to synthesize large data sets and reduce data volumes while retaining relevant information content. Hierarchical or tree-based overlay networks (TBONs) are often used to execute data aggregation operations in a scalable, piecewise fashion. In this paper, we present state compensation, a scalable failure recovery model for high-bandwidth, low-latency TBON computations. By leveraging inherently redundant state information found in many TBON computations, state compensation avoids explicit state replication (for example, process checkpoints and message logging) and incurs no overhead in the absence of failures. Further, when failures do occur, state compensation uses a weak data consistency model and localized protocols that allow processes to recover from failures independently and responsively. Based on a formal specification of our data aggregation model, we have validated state compensation and identified its assumptions and limitations: state compensation requires that data aggregation operations be associative, commutative and idempotent. In this paper, we describe the fundamental state compensation concepts and a prototype implementation integrated into the MRNet TBON infrastructure. Our experiments with this framework suggest that for TBONs supporting up to millions of application processes, state compensation can yield millisecond recovery latencies and inconsequential application perturbation.
Starting Page	1
Ending Page	11
File Size	616831
Page Count	11
File Format	PDF
ISBN	9781424464425
ISSN	15302075
e-ISBN	9781424464432
DOI	10.1109/IPDPS.2010.5470432
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Prototypes Delay Large-scale systems Computer networks Computational modeling Network synthesis Protocols Distributed computing Data analysis Synchronization large scale computing robust data aggregation tree-based overlay networks
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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