Data Flow and Data Structure Modeling for Database Requirements Determination: A Comparative Study

MIS Quarterly ◽  
1987 ◽  
Vol 11 (4) ◽  
pp. 531 ◽  
Author(s):  
Robert W. Mantha
Keyword(s):  
Data Structure ◽  
Comparative Study ◽  
Data Flow ◽  
Structure Modeling ◽  
Requirements Determination

Comparative Study on SaaS Data Layer Solution

2011 ◽  
Vol 225-226 ◽  
pp. 646-650
Author(s):  
Ya Juan Liu ◽  
Hao Yu Wen ◽  
Jun Zha
Keyword(s):  
Data Structure ◽  
Comparative Study ◽  
Business Model ◽  
System Development ◽  
Selection Strategy ◽  
Independent Data ◽  
Actual Application ◽  
Data Layer ◽  
Application Scope ◽  
Layer Solution

According to the Characteristics of the business model for SaaS, appropriate data layer solution need to be selected to the system development. Through an analysis of independent database, independent data structure and shared databases shared framework, and combining with actual application scope and scene, the selection strategy of SaaS data layer solution is given.

DATA STRUCTURE & MANAGEMENT SYSTEM : AN INTEGRATED APPROACH

2020 ◽  
Author(s):  
JAYDIP DATTA
Keyword(s):  
Data Structure ◽  
Data Base ◽  
Management System ◽  
Data Flow ◽  
Open Data ◽  
Flow Diagram ◽  
Data Base Management ◽  
Vendor Management ◽  
Base Management ◽  
Data Flow Diagram

In this REVIEW a comprehensive metod for Data management including data Structure ( C++ ) for ALGOL can be co-rrelated with Data Base Management System including front end tool ( VISUAL BASIC ) with back end tool ( ORACLE or SQL server ) . ( Open Data Base Connectivity System ) ODBC . There are two important workshops 1. Conducted by Calcutta UNIVERSITY COMPUTER CENTRE ( 1997 ) for ANCI C - Important Highlights : Looping , Arrays and Pointers . 2. Conducted By La Mare Info tech Pvt Ltd ( 2001 ) - for C++ - Important Highlights - Classes and Objects , Inheritance , Encapsulation , Looping , Arrays etc. In this Data Flow Diagram ( DFD ) algorithm is used for the Object Oriented Programming Language ( OOPL ) like C++ . The algorithm is linked with Different models like Random Coil, Zipper and Zimm Bragg modelling applied on different Bio molecules like Serum Albumin , Poly - Gamma Benzoyl Glutamate etc. N.B. Please go thrrough Comment ( 18 ) carefully . Data Base Management Science specially Data Based Programming on ORACLE , PL SQL , V.B , and Access. The open data base connectivity system ( ODBC ) provides the STORE and VENDOR management system . Which is a basic AI Management system . REF : DATA FLOW DIAGRAM : A DATA STRUCTURE May 2019 DOI: 10.13140/RG.2.2.29643.44329/8 LicenseCC BY-SA 4.0 DATA BASE MANAGEMENT : A PART OF AI MANAGEMENT August 2019 DOI: 10.13140/RG.2.2.16099.09769/1 LicenseCC BY-SA 4.0

Cloud Gaming

2017 ◽  
pp. 88-105
Author(s):  
Prajit Kumar Datta ◽  
Utkarsh Srivastava
Keyword(s):  
Comparative Study ◽  
System Architecture ◽  
Data Flow ◽  
Service Providers ◽  
Main Aspect ◽  
Flow Models ◽  
Whole Process ◽  
The Future ◽  
Subsequent Section

This chapter talks about the architecture required for cloud gaming and various challenges in cloud based gaming. The first part gives a brief introduction about what is actually cloud gaming and the ways in which it is implemented. The subsequent section talks about the cloud gaming system architecture and different server, client components of cloud gaming frameworks involved in the whole process. The next section talks about various cloud based services and their system architecture. In this chapter main aspect is the server client architecture and data flow models via this architecture. A comparative study has been made among various service providers to have a better understanding of the architecture deployed by them in cloud based gaming. The next section discusses about the Challenges of Cloud based Gaming. The future and new improvisations of the Cloud based Gaming System has also been taken up in this chapter.

A Comparative Study and Algorithmic Analysis of Workflow Decomposition in Distributed Systems

2019 ◽  
Vol 11 (1) ◽  
pp. 71-100
Author(s):  
Ihtisham Ali ◽  
Susmit Bagchi
Keyword(s):  
Distributed Systems ◽  
Comparative Study ◽  
Heterogeneous Computing ◽  
Data Flow ◽  
Control Flow ◽  
Workflow Modeling ◽  
Decomposition Techniques ◽  
Algorithmic Analysis ◽  
Computing Environments ◽  
And Control

Workflow is an essential mechanism for the automation of processes in distributed transactional systems, including mobile distributed systems. The workflow modeling enables the composition of process activities along with respective conditions, data flow and control flow dependencies. The workflow partitioning methods are used to create sub-partitions by grouping processes on the basis of activities, data flow and control flow dependencies. Mobile distributed systems consisting of heterogeneous computing devices require optimal workflow decomposition. In general, the workflow partitioning is a NP-complete problem. This article presents a comparative study and detailed analysis of workflow decomposition techniques based on graphs, petri nets and topological methods. A complete taxonomy of the basic decomposition techniques is presented. A detailed qualitative and quantitative analysis of these decomposition techniques are explained. The comparative analysis presented in this article provides an insight to inherent algorithmic complexities of respective decomposition approaches. The qualitative parametric analysis would help in determining the suitability of workflow applicability in different computing environments involving static and dynamic nodes. Furthermore, the authors have presented a novel framework for workflow decomposition based on multiple parametric parameters for mobile distributed systems.

A Comparative Study and Algorithmic Analysis of Workflow Decomposition in Distributed Systems

2021 ◽  
pp. 2282-2315
Author(s):  
Ihtisham Ali ◽  
Susmit Bagchi
Keyword(s):  
Distributed Systems ◽  
Comparative Study ◽  
Heterogeneous Computing ◽  
Data Flow ◽  
Control Flow ◽  
Decomposition Techniques ◽  
Algorithmic Analysis ◽  
Computing Environments ◽  
Np Complete ◽  
And Control

Workflow is an essential mechanism for the automation of processes in distributed transactional systems, including mobile distributed systems. The workflow modeling enables the composition of process activities along with respective conditions, data flow and control flow dependencies. The workflow partitioning methods are used to create sub-partitions by grouping processes on the basis of activities, data flow and control flow dependencies. Mobile distributed systems consisting of heterogeneous computing devices require optimal workflow decomposition. In general, the workflow partitioning is a NP-complete problem. This article presents a comparative study and detailed analysis of workflow decomposition techniques based on graphs, petri nets and topological methods. A complete taxonomy of the basic decomposition techniques is presented. A detailed qualitative and quantitative analysis of these decomposition techniques are explained. The comparative analysis presented in this article provides an insight to inherent algorithmic complexities of respective decomposition approaches. The qualitative parametric analysis would help in determining the suitability of workflow applicability in different computing environments involving static and dynamic nodes. Furthermore, the authors have presented a novel framework for workflow decomposition based on multiple parametric parameters for mobile distributed systems.

DESAIN SISTEM INFORMASI PERSEDIAAN BARANG STUDY KASUS MAULANA BAKERY

2020 ◽  
Vol 20 (1) ◽  
pp. 13-20
Author(s):  
Devita Maulina Putri ◽  
Mardiana Andarwati ◽  
Bony Laparsa
Keyword(s):  
Information System ◽  
Data Processing ◽  
Data Flow ◽  
Current System ◽  
Database System ◽  
Structure Modeling ◽  
Processing Data ◽  
Flow Diagrams ◽  
Data Flow Diagrams ◽  
Using Data

Maulana bakery is a business entity engaged in making bread, cakes, tarts and various other snacks. The problem that occurs in this home industry is located in the current system for processing data in and out of goods, how to record it through a ledger, there is no data processing that uses a more effective database system, so that sometimes it has difficulty in calculation existing goods. The purpose of this study is to create a Goods Inventory Information System that can manage and manage incoming goods, exiting goods, stock items, ordering transactions using the Waterfall method by using a website for easier program operations. Whereas for structure modeling using Data Flow Diagrams (DFD). The end result of this Information System can manage data incoming goods, data goods out, stock of goods and ordering online.

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