| Y. C. Shim and C. V. Ramamoorthy. Monitoring and Control of Distributed Systems. In First Intl. Conference of Systems Integration, pages 672--681, Morristown, USA, 1990. |
....physical time synchronization in wireless sensor networks are described in [5, 23] Temporal message ordering has also been an issue in traditional computer networks, for example in the context of system monitoring and distributed event systems in local area networks. Delaying techniques such as [17, 19, 26] assume that their is a small upper bound D on the message delay in the network, i.e. it takes at most time D to send a message from any node in the network to any other node. The receiver which wants to receive messages in temporal order, maintains a list of messages m sorted by their time ....
Y. C. Shim and C. V. Ramamoorthy. Monitoring and Control of Distributed Systems. In First Intl. Conference of Systems Integration, pages 672--681, Morristown, USA, 1990.
.... complexity, and is the adequate level for analysis, since components, connectors, and their configuration are better understood and intellectually tractable [16] When building dependable systems, additional management services are required and they impose even more complexity to the system [14]. Some of these services are fault tolerance [5] and safety, as well as security (intrusion detection) and resource management, among others. An underlying service to all these services is the software monitoring. Software monitoring is a well known technique for observing and understanding the ....
....only, and not all events that happen during a program execution [7] 9] This second approach may limit the analysis of events and conditions unforeseen previously to the program execution, though. Both state and event information is important to understand and reason about the program execution [14]. Since tracing monitoring collects information when events occur, state information can be maintained by collecting the events associated to state changes. With a hybrid approach, the sampling monitoring can represent the action of collecting state information into an event for the tracing ....
[Article contains additional citation context not shown here]
Y. C. Shim and C.V. Ramamoorthy, "Monitoring and Control of Distributed Systems", Proc. 1 st Int'l Conf on System Integration, Apr. 1990, pp. 672-681.
....not hold in WSN, due to a large energy footprint, due to introducing large unnecessary delays, due to a missing indication in case of out of order delivery , or due to missing robustness in case of message loss. 4. 1 Delaying Techniques The underlying assumption for delaying techniques such as [27] is a maximum delay in the network for sending a message from any producer to the consumer. Based on this assumption the consumer delays evaluation of an event received at until . All events sent before this event will arrive at the consumer no later . The consumer reorders arriving ....
Y. C. Shim and C. V. Ramamoorthy. Monitoring and Control of Distributed Systems. In First Intl. Conference of Systems Integration, pages 672--681, Morristown, USA, 1990.
....are beyond the scope of this paper but are addressed elsewhere (e.g. 9] How can the navigations in Scenario I be automated A widely used approach is to employ explicit representations of possible navigations. Common representations are rules (e.g. 5] 7] and graphs (e.g. 3] 11] [18]) While these representations differ in their specifics, their capabilities are fairly similar. For pedagogical purposes, we use a measurement navigation graph (MNG) 3] In a MNG, measurement names are represented by nodes, and relationships between measurement names are indicated by directed ....
Y.C. Shim and C.V. Ramamoorthy: "Monitoring and Control of Distributed Systems," Proc. of First International Conference on Systems Integration, 672-681, April 1990.
....A Gamma B involves registering interest in both A and B, and signalling if an A event occurs first. If an A event is received, the client must be certain that a B event has not also occurred and been delayed before signalling. A naive solution is to assume a global view. For example [SR90] proposes that all event notifications should be buffered for a period greater than the anticipated maximum delay. This allows re ordering of out of sequence events, so that A and B will always be received in the correct order. MS95] proposes an improvement, whereby only particular events are ....
Y. C. Shim and C.V. Ramamoorthy. Monitoring and control of distributed systems. In First International Conference on Systems Integration, pages 672--681, Morristown, NJ, 1990. IEEE Computing Press.
....maximum tolerated delay and to discard late arriving events. 5. 1 Uniform Delaying Technique Given a well synchronised global clock and a known maximum possible communication delay D, one obvious approach is to uniformly delay every event by D time units before it is passed to the detection stage [12]. This is illustrated in figure 7. 2 Even given certain guarantees about the maximum amount of delays, failures may prevent a valid detection. 14 Ordering Detection Maximum Delay value (D) Event Specifications Ordered history segment Event reports Clock Figure 7 Uniform Delaying Technique In ....
....expressions. The mechanism used by [20] is based on finite state machines with enhancements to allow detection of concurrent composite events. We have adopted a tree based mechanism as it seems to be the most suitable for onthe fly detection of concurrent composite events in presence of delays. [12, 14] use a similar mechanism, but our event evaluation tree maintains a hierarchical history which allows us to deal with out of order event arrivals in an efficient manner. A number of systems use a centralised correlation approach to filter and analyse events generated from distributed sources [3, ....
Shim, Y. C. & Ramamoorthy, C. V. (1990) Monitoring and Control of Distributed Systems, In Proceedings of the First International Conference on Systems Integration, Morristown, NJ, IEEE Computing Press, pp. 672--681.
No context found.
Y. C. Shim and C. V. Ramamoorthy. Monitoring and Control of Distributed Systems. In First Intl. Conference of Systems Integration, pages 672--681, Morristown, USA, 1990.
No context found.
Y. C. Shim and C. V. Ramamoorthy. Monitoring and Control of Distributed Systems. In First Intl. Conference of Systems Integration, pages 672--681, Morristown, USA, 1990.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC