Abstract
Failure Detector (FD) is the fundamental component of fault tolerant computer systems. In recent years, many research works have been done on the study of QoS and implementation of FDs for distributed computing environments. Almost all of these works are based on the heartbeat approach (HBFD). In this paper, we propose a general model for implementing FDs which separates the processes to be monitored from the underlying running environment. We identify the potential problems of HBFD approach and propose an alternative approach to implementing FDs, called notification based FD (NTFD). Instead of letting the process periodically send heartbeat messages to show it is still alive, in NTFD, the underlying watchdog mechanism sends failure notification messages only when the failure of a monitored process is detected locally. Compared with HBFD implementation under our model, NTFD is more efficient and scalable, and can guarantee the strong accuracy property. Trade-off of achieving QoS of FD is analyzed and the results show that NTFD has much higher probability to achieve a better balance between completeness and accuracy, yet provides a much lower probability of false report and lower system cost. Based on the analysis, we propose the design of a hybrid FD which combines the advantages of HBFD and NTFD.
Original language | English |
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Title of host publication | Proceedings of the 1st International Conference on Scalable Information Systems, InfoScale '06 |
Volume | 152 |
DOIs | |
Publication status | Published - 1 Dec 2006 |
Event | 1st International Conference on Scalable Information Systems, InfoScale '06 - Hong Kong, Hong Kong Duration: 30 May 2006 → 1 Jun 2006 |
Conference
Conference | 1st International Conference on Scalable Information Systems, InfoScale '06 |
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Country/Territory | Hong Kong |
City | Hong Kong |
Period | 30/05/06 → 1/06/06 |
Keywords
- Failure detector
- Fault tolerance
- Heartbeat
- Performance evaluation
- QoS
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Computer Networks and Communications