A MODIFIED ENTROPY ALGORITHM FOR PARALLEL MONITORING
Öz
Performance evaluation and debugging of parallel systems rely on instrumentation that
traces or profiles program behavior. Software instrumentation that is statically inserted into
the program source, run-time libraries, or Operating System can gather redundant
information. The overhead incurred during run time to process and record this information
can increase the execution time of the program and can even change program behavior.
Static configuration of instrumentation, although simple, is not in general efficient in terms
of information gathered to overhead introduced. Information content of instrumentation
data typically depends on uncertainty of associated event to occur. This paper presents a
dynamic algorithm for software instrumentation to measure the amount of information
content of instrumentation data to be collected. This makes intelligent data collection for a
software monitoring system possible. The algorithm can be used in software
instrumentation to make monitoring system less intrusive looking at the information
content of instrumentation data before collected.
Anahtar Kelimeler
Kaynakça
- Hollingsworth, J.K., Miller B.P. ve Callaghan, M.D., “The Paradyn Parallel Performance Tools and PVM”, SIAM Press, 1994.
- Jones, D.S. “Elementary Information Theory”, Claredon Press, Oxford, 1979.
- Lim, S.J., “Two Dimensional Signal and Image Processing”, Prentice-Hall Inc., 1990
- Özmen, A., “A Minimal Overhead Instrumentation System”, In Proceedings o f the Fifteenth International Symposium on Computer and Information Sciences (ISCIS XV), Istanbul, Turkey, October 2000.
- Özmen, A., “Paralel Gözlemleme (monitör) Sistem Mimarisi”, In ELECO 2000 - Elektrik- Elektronik-Bilgisayar Mühendisliği Sempozyumu, Bursa, Turkey, November 2000.
- Özmen, A. and Lumpp, J., “Dynamic Configuration of Software Instrumentation in Parallel Systems”. Proceeding o f The Twelfth International Symposium on Computer and Information Sciences (ISCIS XII), Antalya, Ekim 1997.
- Schwartz, L.S., “The Principals of Coding, Filtering and Information Theory”, Cleaver- Hume Press, 1963.
- Shannon, C.E., “The Mathematical Theory of Communication”, The University of Illinois Press, Urbana, 1963.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Elektrik Mühendisliği
Bölüm
Araştırma Makalesi
Yazarlar
Ahmet Özmen
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Bu kişi benim
Yayımlanma Tarihi
15 Mayıs 2002
Gönderilme Tarihi
15 Ocak 2002
Kabul Tarihi
15 Mart 2002
Yayımlandığı Sayı
Yıl 2002 Sayı: 003