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Abstract The basic idea in which event ordering occurs is the concept of time. This concept is to be explored thoroughly with regard to events in distributed systems. A distributed system is a collection of spatially separated distinct processes that exchange messages for communication. At times it’s not possible to determine which event occur first in two events. The "happened before" relation defines only a partial ordering among events in the system will be extended to a consistent total ordering of all events. The algorithm gives a method to solve synchronization problems. If different ordering results from algorithm than expected by the user, an unexpected anomalous behavior occurs to be overcome by use of real & physical clocks. The approach consists of a method for synchronizing clocks and deduces an upper limit to which synchronization exceeds. Thus, to understand any multi process system requires realization that event ordering is only a partial ordering in any distributed system. Bibliographic info:”Time clock and ordering of events in distributed systems” · Author: Leslie Lamport · Year:July 1978 · Volume: 21 · Page no 558

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Page 1: Abstract Writing

Abstract

The basic idea in which event ordering occurs is the concept of time. This concept is to be explored thoroughly with regard to events in distributed systems. A distributed system is a collection of spatially separated distinct processes that exchange messages for communication. At times it’s not possible to determine which event occur first in two events. The "happened before" relation defines only a partial ordering among events in the system will be extended to a consistent total ordering of all events.

The algorithm gives a method to solve synchronization problems. If different ordering results from algorithm than expected by the user, an unexpected anomalous behavior occurs to be overcome by use of real & physical clocks. The approach consists of a method for synchronizing clocks and deduces an upper limit to which synchronization exceeds. Thus, to understand any multi process system requires realization that event ordering is only a partial ordering in any distributed system.

Bibliographic info:”Time clock and ordering of events in distributed systems”

·          Author: Leslie Lamport

·         Year:July 1978

·         Volume: 21

·         Page no 558