By Michael O. Rabin (auth.), R. K. Shyamasundar, K. Ueda (eds.)
This ebook constitutes the refereed complaints of the 3rd Asian Computing technological know-how convention, ASIAN'97, held in Kathmandu, Nepal, in December 1997. the quantity offers 24 revised complete papers chosen from a complete of ninety four submissions. additionally incorporated are an summary of the keynote by way of Michael O. Rabin, complete invited displays, and 10 posters. one of the components addressed are programming languages, formal equipment, mathematical common sense, reasoning and constraints, real-time computing, networking, cellular computing, picture processing, verification, and parallel processing.
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Extra resources for Advances in Computing Science — ASIAN'97: Third Asian Computing Science Conference Kathmandu, Nepal, December 9–11, 1997 Proceedings
Each NN supports some subset of objects in the MIB called SNMP MIB view. Figure 1 sets the scene. In essence SNMP supports three types of operations. 1. GetRequest used to retrieve the value of a MIB object from an NN. 2. SetRequest used to set the value of a MIB object in an NN. 3. traps enables a NN to generate messages when certain events occur (eg. a restart). In this paper we are not concerned with traps and will concentrate on the first two methods. SNMP need not be implemented on top of a guaranteed message delivery protocol.
Among these objects we kept those pertaining to the User Profiles and Services classes and selected by the filter clause. Some CMIS extensions are provided in order to avoid ambiguities sometimes present in pure CMIS, but an upward compatibility with pure CMIS is kept. One extension, for example, allows to retrieve path expressions. This permits to keep the containment links in the query result. This was not possible in pure CMIS in which only set of objects can be retrieved, with loss of the containment semantic.
This suffers from the classic problem that if the polling interval is too small, there is a huge traffic overhead while if the polling interval is large, we may miss the event of interest or recognize it too late. 3 33 Lack of Consistency in the Returned Results Another subtle problem that arises when SNMP is used to retrieve large volumes of volatile data is that the returned result may not be consistent. For example, when the address forwarding table of Figure 1 is being retrieved, one column of a row may be retrieved but not the other.
Advances in Computing Science — ASIAN'97: Third Asian Computing Science Conference Kathmandu, Nepal, December 9–11, 1997 Proceedings by Michael O. Rabin (auth.), R. K. Shyamasundar, K. Ueda (eds.)