Monitoring Smoothly Degrading Systems for Increased Dependability

Empirical Software Engineering

Volumn 2, Issue 1, 1997, Pages 59-77

  Avritzer, Alberto ^{a,b,c,d,e,f,g,h}   Weyuker, Elaine J ^{a,h,i,j,k,l,m,n,o,p}  

^a AT AND T LABS RESEARCH   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^d TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^e AT AND T LABS RESEARCH   (United States)

^f IBM RESEARCH   (United States)

^g LUCENT TECHNOLOGIES   (United States)

^h IEEE

ⁱ RUTGERS UNIVERSITY   (United States)

^j UNIVERSITY OF PENNSYLVANIA   (United States)

^k POLYTECHNIC UNIVERSITY   (United States)

^l CITY UNIVERSITY OF NEW YORK   (United States)

^m IBM   (United States)

ⁿ Texaco Inc   (United States)

^o ACM SIGSOFT

^p ACM Comm Status Women Minorities

more..

Author keywords

Preemptive restoration; Resource leakage; Smoothly degrading systems; Software degradation; Software restoration; Software validation

Indexed keywords

DATA ACQUISITION; DATA STRUCTURES; PACKET SWITCHING; RESOURCE ALLOCATION; STRATEGIC PLANNING; TELECOMMUNICATION TRAFFIC;

PRODUCTION TRAFFIC DATA; SMOOTHLY DEGRADING SYSTEMS; SOFTWARE DEGRADATION; SOFTWARE RESTORATION; SOFTWARE VALIDATION;

SOFTWARE ENGINEERING;

EID: 0030646329     PISSN: 13823256     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1009794200077     Document Type: Article

References (6)

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3. Garg, S., Huang, Y., Kintala, C., and Trivedi, K. 1996. Minimizing completion time of a program by checkpointing and rejuvenation. Proc. SIGMETRIC96 Philadelphia, PA.
4. Huang, Y., Kintala, C., Kolettis, N., and Fulton, N. D. 1995. Software rejuvenation: Analysis, module and applications. Proc. 25th Intl. Symposium on Fault-Tolerant Computing (FTCS-25) Pasadena, CA.
5. Kleinrock, L. 1975. Queueing Systems, Volume I: Theory. New York: Wiley-Interscience.
6. Lynch, N., Merritt, M., Weihl, W., and Fekete, A. 1994. Atomic Transactions. San Mateo, CA: Morgan Kaufmann.