Design of Sentinel: an object-oriented DMBS with event-based rules

Chakravarthy, Sharma; Anwar, Eman; Maugis, L.; Mishra, Deepti

doi:10.1016/0950-5849(94)90101-5

Cited by 69 publications

(42 citation statements)

References 2 publications

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“…• Graph-based event composition has been implemented by several active rule systems like SAMOS [26,27,47], Sentinel [48] and NAOS [34]. An event graph, is a Direct Acyclic Graph (DAG) that consists of non-terminal nodes (Nnodes), terminal nodes (T-nodes) and edges [26].…”

Section: Automata Oriented Event Compositionmentioning

confidence: 99%

Big Continuous Data: Dealing with Velocity by Composing Event Streams

Vargas-Solar¹,

Espinosa-Oviedo²,

Zechinelli-Martini

2016

Big Data Concepts, Theories, and Applications

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Section: Automata Oriented Event Compositionmentioning

confidence: 99%

Big Continuous Data: Dealing with Velocity by Composing Event Streams

Vargas-Solar¹,

Espinosa-Oviedo²,

Zechinelli-Martini

2016

Big Data Concepts, Theories, and Applications

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“…Sentinel [4,5,19,20,21] is an integrated active DBMS incorporating ECA rules using the Open OODB Toolkit from Texas Instruments. Event and rule specifications are seamlessly incorporated into the C++ language.…”

Section: Sentinelmentioning

confidence: 99%

Events and Rules for JAVA: Design and Implementation of a Seamless Approach

Chakravarthy¹,

Dasari²

2002

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Public reporting burden (or this collection of information isS. Chakravarthy and R. Dasari PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)University of Florida PO Box 116120 Gainesville Florida 32611-6120 SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES)Air This report investigates the re-designing and implementation of an active database subsystem in the JAVA environment. This was accomplished to overcome some of the limitations of the C + + environment in providing active capabilities to passive systems. Next to exploit some of the capabilities provided by the JAVA environment that would be applicable and used for an active system. Finally this provides a means for an active capability in the JAVA environment, as more and more OODBMS (Poet, ObjectStore etc.) and Distributed Systems are being developed in JAVA. Table 21 Figure 5 SUBJECT TERMS EVENTS AND RULES FOR JAVA: DESIGN AND IMPLEMENTATION OF A SEAMLESS APPROACH AbstractDuring the last decade, the paradigm of object-oriented software development has become one of the central means of developing software systems. In the object-oriented paradigm, applications are modeled as a set of interacting objects that require and provide services. This approach assumes that each object knows where the service is and calls it directly. However, this call-driven approach is not the only manner to invoke behavior. The proponents of active systems have proposed event-condition-action (ECA) rules, a mechanism where behavior is invoked automatically as a response to events but without user or application intervention. An active system automatically monitors events, evaluates conditions defined over the state of the system when the events occur, and invokes the action associated with the eventcondition pair based on the result of condition evaluation. Making a passive system active requires an expressive event specification language with well-defined semantics, algorithms for detecting the events, designing an event detector and implementing it. The environment (the programming language and the operating system) in which a system is built influences how the event detector is designed and implemented.Sentinel, developed at University of Florida, provides active capability to Open OODB, an object-oriented database management system (OODBMS) that was implemented in C++. However, C++ environment had certain limitations that proved deterrent to implementing some of the features of active capability. We tried to overcome these limitations by redesigning the active subsystem in Java, the most popular language now. Although both C++ and Java are both object-oriented languages, they differ in some of the capabilities they offer such as support for system calls, obtaining information of the application objects during run-time etc.This report discusses the re-designing and implementation of the active subsystem in the Java environment. There are three motivations behind our objective of re-designing and implementing the active subsystem in the Java environment. First, we would li...

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“…In this, some of the important work to mention are [13,8,14]. Because the nature of events in active databases and RFID systems is different, we can not directly apply any of the existing research, however we have borrowed several concepts from these areas to apply in our system, e.g., we borrowed the idea of indexing events on the basis of parameter values as proposed in [15].…”

Section: Related Workmentioning

confidence: 99%

“…Composite EI A composite EI(o e ) is a combination of multiple primitive EIs (p e ) or multiple composite EIs linked by operators drawn from the following set [13]. AND (∧): Conjunction of two events E 1 and E 2 , denoted as E 1 ∧ E 2 , occurs when both E 1 and E 2 occur (the order of occurrence of E 1 and E 2 is irrelevant).…”

Section: Events Of Interest (Ei)mentioning

confidence: 99%

“…(E 1 , E 2 , E 3 ), detects the non-occurrence of the event E 2 in the closed interval formed by E 1 and E 3 . It is rather similar to the SEQ operator except that E 2 should not occur between E 1 and E 3 [13] Relative periodic (R p ): An event E 2 which occurs periodically with specified frequency after event E 1 has occurred till event E 3 occurs. This can be indicated as…”

Section: Events Of Interest (Ei)mentioning

confidence: 99%

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Real-Time Event Handling in an RFID Middleware System

Dutta

Ramamritham

Karthik

et al.

Databases in Networked Information Systems

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Abstract. Radio Frequency IDentification (RFID) tags have emerged as a key technology for real-time asset tracking. Wide application of RFID leads to huge amounts of data being generated from scan of each of these RFID tags on individual items, for example, the RFID system of a moderate size retail chain will generate 300 million RFID scans per day. Extracting meaningful information out of this huge amount of scan data is a challenging task. Moreover CIOs are looking for real time business decision from this RFID scan data. In this paper we show how to add value to an RFID middleware system by enabling it to handle a large number of RFID scan data and execute business rules in real-time. Experimentally we demonstrate that our proposed approach is very time efficient compare to a similar implementation with existing technologies. Lastly we also propose an architecture for a distributed RFID middleware system to handle raw RFID scan data.

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Design of Sentinel: an object-oriented DMBS with event-based rules

Cited by 69 publications

References 2 publications

Big Continuous Data: Dealing with Velocity by Composing Event Streams

Big Continuous Data: Dealing with Velocity by Composing Event Streams

Events and Rules for JAVA: Design and Implementation of a Seamless Approach

Real-Time Event Handling in an RFID Middleware System

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