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Detecting Application-Level Failures in Component-Based Internet Services
Oleh:
Kiciman, E.
;
Fox, A.
Jenis:
Article from Journal - ilmiah internasional
Dalam koleksi:
IEEE Transactions on Neural Networks vol. 16 no. 5 (Sep. 2005)
,
page 1027-1041.
Topik:
internet
;
application level
;
failures
;
component - based
;
internet services
Ketersediaan
Perpustakaan Pusat (Semanggi)
Nomor Panggil:
II36.12
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
Most Internet services (e - commerce, search engines, etc.) suffer faults. Quickly detecting these faults can be the largest bottleneck in improving availability of the system. We present Pinpoint, a methodology for automating fault detection in Internet services by : 1) observing low - level internal structural behaviors of the service ; 2) modeling the majority behaviour of the system as correct ; and 3) detecting anomalies in these behaviours as possible symptoms of failures. Without requiring any a priori application -specific information, Pinpoint correctly detected 89 % - 96 % of major failures in our experiments, as compared with 20 % - 70 % detected by current application - generic techniques.
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