Assessing cloud computing SaaS adoption for enterprise applications using a Petri net MCDM framework

2014 ◽  
Author(s):  
Maristella Ribas ◽  
Alberto S. Lima ◽  
Neuman Souza ◽  
Antao Moura ◽  
Flavio R. C. Sousa ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Petri Net ◽  
Enterprise Applications

Improving Cost for Data Migration in Cloud Computing Using Genetic Algorithm

2020 ◽  
Vol 8 (3) ◽  
pp. 69-81
Author(s):  
Nitin Chawla ◽  
Deepak Kumar ◽  
Dinesh Kumar Sharma
Keyword(s):  
Genetic Algorithm ◽  
Cloud Computing ◽  
Data Center ◽  
Data Centers ◽  
Software As A Service ◽  
Data Migration ◽  
Platform As A Service ◽  
Challenging Tasks ◽  
Enterprise Applications ◽  
Client Data

Cloud computing is gradually increasing its popularity in enterprise-wide organizations. Information technology organizations e.g., IBM, Microsoft, and Amazon have already shifted towards Cloud computing. Cloud-based offerings such as Software as a Service, Platform as a Service and Infrastructure as a Service (IAAS) are the most famous offerings. Most of the existing enterprise applications are deployed using an on-premise model. Organizations are looking for Cloud based offerings to deploy or upgrade their existing applications. SAP, Microsoft Dynamics, and Oracle are the most famous ERP or CRM application OEMs. These enterprise applications generate lots of data are hosted in an organization or on client data centers. Moving data from one data center to the Cloud is always a challenging tasks which cost a lot and takes much effort. This study proposes an efficient approach to optimize cost for data migration in cloud computing. This study also proposes the approach to optimize cost for data collection from multiple locations which can be processed centrally and then migrate to Cloud Computing.

The New Economic Environment to Manage Resources in Cloud Computing

2015 ◽  
Vol 8 (2) ◽  
pp. 34-49 ◽  
Author(s):  
Samah Bouamama ◽  
Ghalem Belalem
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Fault Tolerance ◽  
Separate Group ◽  
Bank Loan ◽  
Cost Performance ◽  
Enterprise Applications ◽  
Auction Procedure ◽  
The Way

The Clouds have changed the way services are delivered to companies. The attractiveness of the Clouds comes from the (efficacy) effective gains (cost, performance, availability, fault tolerance...) and agility of enterprise applications and services. The computer infrastructure is becoming a supply chain services. Existing systems of Clouds do not support advanced mechanisms for the optimal trade applications across different Clouds. In this study, the authors proposed an environment consisting of a set of customers with a budget and a number of Cloudlet to process. Before starting the auction procedure, they fit in their separate group, previously formed according to a certain criteria, by paying a registration fee that will be cashed at a local bank in each Club. If a customer does not have enough budget (client in crisis) to satisfy their needs, they can make a bank loan. In this work, the authors propose the way to satisfy Clubs in terms of quality of processing cloudlets (Tasks) for each member of a Club, while minimizing their cost and their time of processing, and the way to integrate the principle of Auction Clubs in CloudSim simulator.

scholarly journals Dynamic Scalable Stochastic Petri Net: A Novel Model for Designing and Analysis of Resource Scheduling in Cloud Computing

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Hua He ◽  
Shanchen Pang ◽  
Zenghua Zhao
Keyword(s):  
Cloud Computing ◽  
Petri Net ◽  
Performance Indicators ◽  
Large Scale ◽  
Computing Systems ◽  
Average Completion Time ◽  
Stochastic Petri Net ◽  
Fair Scheduling ◽  
And Performance ◽  
Improved Algorithm

Performance evaluation of cloud computing systems studies the relationships among system configuration, system load, and performance indicators. However, such evaluation is not feasible by dint of measurement methods or simulation methods, due to the properties of cloud computing, such as large scale, diversity, and dynamics. To overcome those challenges, we present a novel Dynamic Scalable Stochastic Petri Net (DSSPN) to model and analyze the performance of cloud computing systems. DSSPN can not only clearly depict system dynamic behaviors in an intuitive and efficient way but also easily discover performance deficiencies and bottlenecks of systems. In this study, we further elaborate some properties of DSSPN. In addition, we improve fair scheduling taking into consideration job diversity and resource heterogeneity. To validate the improved algorithm and the applicability of DSSPN, we conduct extensive experiments through Stochastic Petri Net Package (SPNP). The performance results show that the improved algorithm is better than fair scheduling in some key performance indicators, such as average throughput, response time, and average completion time.

scholarly journals Studi Literatur tentang Faktor-Faktor yang Berpengaruh dalam Implementasi Enterprise System pada UKM

2013 ◽  
Vol 4 (2) ◽  
pp. 942
Author(s):  
Sulistyo Heripracoyo
Keyword(s):  
Cloud Computing ◽  
Gross Domestic Product ◽  
Business Intelligence ◽  
Small And Medium Enterprises ◽  
Enterprise System ◽  
Computing Services ◽  
Enterprise Applications ◽  
Efficiency And Effectiveness ◽  
Cloud Computing Services ◽  
Medium Enterprises

Small and Medium Enterprises (SMEs) are one of the pillars of Indonesian economy since they contribute to the national Gross Domestic Product in a large number. This study discusses some of the articles to determine the factors that influence the implementation of enterprise applications systems, business intelligence (BI) and cloud computing. SCM, ERP, CRM are applications that provide the benefits of efficiency and effectiveness to the organization that uses and implements them. SCM, ERP, CRM and Business Intelligence needs to be implemented to SMEs in order to improve their performance to compete efficiently and competitively. In addition, SMEs can try cloud computing services by implementing and integrating those applications, although obstacles may be considerable.

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