An Approach for Assessment of the Success of Cloud Systems Usage in Innovation

2016 ◽  
pp. 1873-1890
Author(s):  
Ziyuan Fan
Keyword(s):  
Cloud Computing ◽  
Success Factors ◽  
Cloud System ◽  
Organisational Innovation ◽  
Cloud Systems ◽  
Global Innovation ◽  
Efficiency And Effectiveness

This chapter demonstrates an approach for assessment of the success of cloud systems usage in innovation on the basis of system abilities to differentiate between the various knowledge characteristics required for the innovation. The chapter also discusses the various success factors of cloud system for global innovation. The aim of this research is to demonstrate how cloud computing impacts in an organisation. This research also identifies the contributions of cloud computing to a modern organisation. Furthermore, several challenges which providers of Cloud System services are facing are presented. Problems in the process of implementation of cloud computing are found out which need to be settled in order to improve the efficiency and effectiveness of organisational innovation.

An Approach for Assessment of the Success of Cloud Systems Usage in Innovation

2015 ◽  
pp. 206-223
Author(s):  
Ziyuan Fan
Keyword(s):  
Cloud Computing ◽  
Success Factors ◽  
Cloud System ◽  
Organisational Innovation ◽  
Cloud Systems ◽  
Global Innovation ◽  
Efficiency And Effectiveness

This chapter demonstrates an approach for assessment of the success of cloud systems usage in innovation on the basis of system abilities to differentiate between the various knowledge characteristics required for the innovation. The chapter also discusses the various success factors of cloud system for global innovation. The aim of this research is to demonstrate how cloud computing impacts in an organisation. This research also identifies the contributions of cloud computing to a modern organisation. Furthermore, several challenges which providers of Cloud System services are facing are presented. Problems in the process of implementation of cloud computing are found out which need to be settled in order to improve the efficiency and effectiveness of organisational innovation.

Evaluation of Cloud System Success Factors in Supply-Demand Chains

Web Services ◽  
2019 ◽  
pp. 712-727
Author(s):  
Fawzy Soliman
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Organizational Performance ◽  
Success Factors ◽  
Cloud Services ◽  
Customer Relationship ◽  
Cloud System ◽  
Basic Operation ◽  
Cloud Systems ◽  
Chain Organization

Cloud systems could help companies to optimize the structure and operation of supply chain and improve organizational performance into a higher level. In this chapter, the advantages and basic operation methods of cloud computing are analyzed, and the essential factors that contribute to the success of the cloud system are evaluated through some business examples. Supply chain firms rely on cloud system to share resources and to achieve integration through the Internet. Cloud systems could transform customer relationship and internal operation to achieve sustainable competitive advantages. Cloud services are providing the ability to share information to the supply chain at any time anywhere. This chapter explores the relationship between supply chain organization and cloud computing. This chapter also discusses the benefits and advantage to evaluate of cloud system in successful factors.

Evaluation of Cloud System Success Factors in Supply-Demand Chains

2016 ◽  
pp. 745-759
Author(s):  
Fawzy Soliman
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Organizational Performance ◽  
Success Factors ◽  
Cloud Services ◽  
Customer Relationship ◽  
Cloud System ◽  
Basic Operation ◽  
Cloud Systems ◽  
Chain Organization

Cloud systems could help companies to optimize the structure and operation of supply chain and improve organizational performance into a higher level. In this chapter, the advantages and basic operation methods of cloud computing are analyzed, and the essential factors that contribute to the success of the cloud system are evaluated through some business examples. Supply chain firms rely on cloud system to share resources and to achieve integration through the Internet. Cloud systems could transform customer relationship and internal operation to achieve sustainable competitive advantages. Cloud services are providing the ability to share information to the supply chain at any time anywhere. This chapter explores the relationship between supply chain organization and cloud computing. This chapter also discusses the benefits and advantage to evaluate of cloud system in successful factors.

Evaluation of Cloud System Success Factors in Supply-Demand Chains

2015 ◽  
pp. 90-104
Author(s):  
Fawzy Soliman
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Organizational Performance ◽  
Success Factors ◽  
Cloud Services ◽  
Customer Relationship ◽  
Cloud System ◽  
Basic Operation ◽  
Cloud Systems ◽  
Chain Organization

Cloud systems could help companies to optimize the structure and operation of supply chain and improve organizational performance into a higher level. In this chapter, the advantages and basic operation methods of cloud computing are analyzed, and the essential factors that contribute to the success of the cloud system are evaluated through some business examples. Supply chain firms rely on cloud system to share resources and to achieve integration through the Internet. Cloud systems could transform customer relationship and internal operation to achieve sustainable competitive advantages. Cloud services are providing the ability to share information to the supply chain at any time anywhere. This chapter explores the relationship between supply chain organization and cloud computing. This chapter also discusses the benefits and advantage to evaluate of cloud system in successful factors.

Analysis of Frequently Failing Tasks and Rescheduling Strategy in the Cloud System

2018 ◽  
Vol 9 (1) ◽  
pp. 16-38
Author(s):  
Hongyan Tang ◽  
Ying Li ◽  
Tong Jia ◽  
Xiaoyong Yuan ◽  
Zhonghai Wu
Keyword(s):  
Cloud Computing ◽  
Early Stage ◽  
Cloud System ◽  
Usage Pattern ◽  
Resource Saving ◽  
Computing Systems ◽  
Cloud Systems ◽  
Failure Frequency ◽  
Task Recognition

To better understand task failures in cloud computing systems, the authors analyze failure frequency of tasks based on Google cluster dataset, and find some frequently failing tasks that suffer from long-term failures and repeated rescheduling, which are called killer tasks as they can be a big concern of cloud systems. Hence there is a need to analyze killer tasks thoroughly and recognize them precisely. In this article, the authors first investigate resource usage pattern of killer tasks and analyze rescheduling strategies of killer tasks in Google cluster to find that repeated rescheduling causes large amount of resource wasting. Based on the above observations, they then propose an online killer task recognition service to recognize killer tasks at the very early stage of their occurrence so as to avoid unnecessary resource wasting. The experiment results show that the proposed service performs a 93.6% accuracy in recognizing killer tasks with an 87% timing advance and 86.6% resource saving for the cloud system averagely.

Role of Cloud Systems as Enabler of Global Competitive Advantages

2014 ◽  
pp. 120-138 ◽  
Author(s):  
Fawzy Soliman
Keyword(s):  
Success Factors ◽  
Cloud System ◽  
Competitive Advantages ◽  
It Services ◽  
Cloud Systems ◽  
Types Of Knowledge

The goal of cloud systems is to provide easy, scalable access to computing resources and IT services. However, the ability of the cloud system to transfer knowledge to assist the innovator should also be a key objective of cloud system deployment. This chapter presents an approach for assessment of cloud systems for innovation on the basis of the system’s abilities to differentiate between the various types of knowledge. In this regard, the chapter also proposes a number of success factors for deployment of cloud systems for innovation in a global setting.

scholarly journals Measuring Digital Transformation Maturity of Supply Chain

2021 ◽  
Vol 15 (2) ◽  
pp. 199-204
Author(s):  
Krešimir Buntak ◽  
Matija Kovačić ◽  
Maja Mutavdžija
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Supply Chain ◽  
Industry 4.0 ◽  
Digital Transformation ◽  
Strategic Decision ◽  
Traditional Practices ◽  
Long Run ◽  
Efficiency And Effectiveness ◽  
Different Levels

Digital transformation signifies changes in all components and systems of the supply chain. It is also a strategic decision of the organization which, in the long run, can result in the creation of competitive advantage in the market. Digital transformation is affecting all organizations, regardless of their activity. Digital transformation of the supply chain involves the use of industry 4.0 based technologies as well as the replacement of traditional practices with new ones based on digital solutions. The implementation of digital solutions, such as artificial intelligence, IoT, cloud computing, etc., therefore, improve communication between stakeholders in the supply chain, as well as improve efficiency and effectiveness. When conducted, digital transformation must be measured by different levels of maturity. In this paper, authors research current models of measuring digital transformation maturity in supply chain and propose a new model based on identified theories and needs.

Fault Tolerant Cloud Systems

2019 ◽  
pp. 171-190
Author(s):  
Sathish Kumar ◽  
Balamurugan B
Keyword(s):  
Cloud Computing ◽  
Fault Tolerant ◽  
Software As A Service ◽  
Arrival Process ◽  
Cloud Provider ◽  
Infrastructure As A Service ◽  
Batch Mode ◽  
Web Based ◽  
Platform As A Service ◽  
Cloud Systems

Cloud computing refers to a model for accessing computing resource like networks, servers, storage, applications, and services remotely. Cloud computing offers these resources as a service, namely infrastructure-as-a-service, platform-as-a-service, and software-as-a-service. To use these services, two roles involved: the cloud provider offers the service and the cloud customer consumes the service. These resources are efficiently shared and utilized by customers and it is called workload. The requirement of workload depends on customer demands that vary from higher to lower. Based on the customer demand, cloud provider makes the resource available efficiently. In the context of cloud, the workload is based on web-based service or jobs processed in batch mode. The arrival process of jobs in the cloud is not often deterministic. The irregular increase or decrease in workload has a vital impact on resource provision. Monitoring the resources helps in measuring the performance of the cloud so that the resource can be provisioned to customers efficiently.

Learning Management System 2.0

Web Services ◽  
2019 ◽  
pp. 2255-2270
Author(s):  
Muhammad Anshari ◽  
Yabit Alas ◽  
Norazmah Yunus ◽  
Norakmarul Ihsan binti Pg Hj Sabtu ◽  
Malai Hayati Sheikh Abdul Hamid ◽  
...  
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Big Data ◽  
Knowledge Management ◽  
Management System ◽  
Learning Management System ◽  
New Paradigm ◽  
Efficiency And Effectiveness ◽  
Main Driver ◽  
Learning Management

The recent adoption of cloud computing, Web 2.0 (web as a platform), and Big Data technologies have become the main driver of the paradigm shift. For higher education, choosing the right platform for a next generation of Learning Management System (LMS) namely LMS 2.0 is becoming more important than choosing a tool in the new paradigm. This chapter discusses factors for higher institution in determining a future direction for its LMS to take advantage of pervasive knowledge management, efficiency and effectiveness of operations. Literature studies have deployed for this study to portray the state of future LMS initiative. We found that the trends of cloud computing and big data will be predominant factor in viewing future LMS adoption and implementation. LMS 2.0 can be a solution to make learning systems in a higher education is flexible in terms of resources adoption, quality of learning, knowledge management, and implementation.

Sustainable Business Transformation in Supply Chains

Web Services ◽  
2019 ◽  
pp. 204-220
Author(s):  
Fawzy Soliman
Keyword(s):  
Cloud Computing ◽  
Supply Chains ◽  
Business Models ◽  
Modern Society ◽  
Cloud System ◽  
Sustainable Business ◽  
Business Transformation ◽  
Adoption And Implementation ◽  
Key Characteristics ◽  
The Impact

Cloud computing is a usage model that is characterised by five key characteristics, four deployment models and three service models. The drivers and disadvantages of the adoption and implementation of cloud computing are discussed. The topic is further discussed in relation to the impact of cloud computing on supply chains. The cloud technology has become an important invention in modern society. This chapter examines the benefits and risks brought by the cloud system. The chapter explores the possible changes during transformation that might result in the implementation of cloud systems in firms. The business models presented due to the implementation of cloud system are also illustrated in this chapter.

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