Cloud Computing Economics

2015 ◽  
pp. 125-149
Author(s):  
Stamatia Bibi ◽  
Dimitrios Katsaros ◽  
Panayiotis Bozanis
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Distributed Computing ◽  
Decision Problem ◽  
High Speed ◽  
Business Case ◽  
Cloud Services ◽  
It Systems ◽  
Basic Parameters ◽  
User Demand

Cloud services and technologies are currently receiving increased attention from the industry mostly due to business-driven promises and expectations. Significant innovations in virtualization and distributed computing, as well as improved access to high-speed Internet and a weak economy, have accelerated interest in cloud computing. However, is the migration to the Cloud the most profitable option for every business? Enterprise adoption of cloud computing often requires a significant transformation of existing Information Technology (IT) systems and processes. To justify such a change, a viable business case must be made based on the economics of transformation. This chapter presents a study of the basic parameters for estimating the potential infrastructure and software costs deriving from building and deploying applications on cloud and on-premise assets. Estimated user demand and desired quality attributes related to an application are also addressed in this chapter as they are aspects of the decision problem that also influence the choice between cloud and in-house solutions.

Cloud Computing Economics

2016 ◽  
pp. 88-111
Author(s):  
Stamatia Bibi ◽  
Dimitrios Katsaros ◽  
Panayiotis Bozanis
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Distributed Computing ◽  
Decision Problem ◽  
High Speed ◽  
Business Case ◽  
Cloud Services ◽  
It Systems ◽  
Basic Parameters ◽  
User Demand

Cloud services and technologies are currently receiving increased attention from the industry mostly due to business-driven promises and expectations. Significant innovations in virtualization and distributed computing, as well as improved access to high-speed Internet and a weak economy, have accelerated interest in cloud computing. However, is the migration to the Cloud the most profitable option for every business? Enterprise adoption of cloud computing often requires a significant transformation of existing Information Technology (IT) systems and processes. To justify such a change, a viable business case must be made based on the economics of transformation. This chapter presents a study of the basic parameters for estimating the potential infrastructure and software costs deriving from building and deploying applications on cloud and on-premise assets. Estimated user demand and desired quality attributes related to an application are also addressed in this chapter as they are aspects of the decision problem that also influence the choice between cloud and in-house solutions.

Cloud Computing Economics

Web Services ◽  
2019 ◽  
pp. 1941-1966
Author(s):  
Stamatia Bibi ◽  
Dimitrios Katsaros ◽  
Panayiotis Bozanis
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Distributed Computing ◽  
Decision Problem ◽  
High Speed ◽  
Business Case ◽  
Cloud Services ◽  
It Systems ◽  
Basic Parameters ◽  
User Demand

Cloud services and technologies are currently receiving increased attention from the industry mostly due to business-driven promises and expectations. Significant innovations in virtualization and distributed computing, as well as improved access to high-speed Internet and a weak economy, have accelerated interest in cloud computing. However, is the migration to the Cloud the most profitable option for every business? Enterprise adoption of cloud computing often requires a significant transformation of existing Information Technology (IT) systems and processes. To justify such a change, a viable business case must be made based on the economics of transformation. This chapter presents a study of the basic parameters for estimating the potential infrastructure and software costs deriving from building and deploying applications on cloud and on-premise assets. Estimated user demand and desired quality attributes related to an application are also addressed in this chapter as they are aspects of the decision problem that also influence the choice between cloud and in-house solutions.

Novel Taxonomy to Select Fog Products and Challenges Faced in Fog Environments

2021 ◽  
pp. 2558-2571
Author(s):  
Akashdeep Bhardwaj
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
High Speed ◽  
Low Cost ◽  
Fog Computing ◽  
Research Work ◽  
Cloud Services ◽  
Smart Devices ◽  
Viable Solution ◽  
Last Mile

This article describes how the rise of fog computing to improve cloud computing performance and the acceptance of smart devices is slowly but surely changing our future and shaping the computing environment around us. IoT integrated with advances in low cost computing, storage and power, along with high speed networks and big data, supports distributed computing. However, much like cloud computing, which are under constant security attacks and issues, distributed computing also faces similar challenges and security threats. This can be mitigated to a great extent using fog computing, which extends the limits of Cloud services to the last mile edge near to the nodes and networks, thereby increasing the performance and security levels. Fog computing also helps increase the reach and comes across as a viable solution for distributed computing. This article presents a review of the academic literature research work on the Fog Computing. The authors discuss the challenges in Fog environment and propose a new taxonomy.

Novel Taxonomy to Select Fog Products and Challenges Faced in Fog Environments

2018 ◽  
Vol 1 (1) ◽  
pp. 35-49 ◽  
Author(s):  
Akashdeep Bhardwaj
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
High Speed ◽  
Low Cost ◽  
Fog Computing ◽  
Research Work ◽  
Cloud Services ◽  
Smart Devices ◽  
Viable Solution ◽  
Last Mile

This article describes how the rise of fog computing to improve cloud computing performance and the acceptance of smart devices is slowly but surely changing our future and shaping the computing environment around us. IoT integrated with advances in low cost computing, storage and power, along with high speed networks and big data, supports distributed computing. However, much like cloud computing, which are under constant security attacks and issues, distributed computing also faces similar challenges and security threats. This can be mitigated to a great extent using fog computing, which extends the limits of Cloud services to the last mile edge near to the nodes and networks, thereby increasing the performance and security levels. Fog computing also helps increase the reach and comes across as a viable solution for distributed computing. This article presents a review of the academic literature research work on the Fog Computing. The authors discuss the challenges in Fog environment and propose a new taxonomy.

How to Choose the Right Cloud

2012 ◽  
pp. 1530-1552
Author(s):  
Stamatia Bibi ◽  
Dimitrios Katsaros ◽  
Panayiotis Bozanis
Keyword(s):  
Cloud Computing ◽  
Decision Problem ◽  
Data Centers ◽  
Recent Trend ◽  
Large Data ◽  
The Internet ◽  
Business Agility ◽  
Basic Parameters ◽  
User Demand ◽  
The Right

Cloud computing is a recent trend in IT that moves computing and data away from desktop and portable PCs into large data centers, and outsources the “applications” (hardware and software) as services over the Internet. Cloud computing promises to increase the velocity with which applications are deployed, increase innovation, and lower costs, all while increasing business agility. But, is the migration to the Cloud the most profitable option for every business? This chapter presents a study of the basic parameters for estimating the potential infrastructure and software costs deriving from building and deploying applications on cloud and on-premise assets. Estimated user demand and desired quality attributes related to an application are also addressed in this chapter as they are aspects of the decision problem that also influence the choice between cloud and in-house solutions.

How to Choose the Right Cloud

2011 ◽  
pp. 219-240
Author(s):  
Stamatia Bibi ◽  
Dimitrios Katsaros ◽  
Panayiotis Bozanis
Keyword(s):  
Cloud Computing ◽  
Decision Problem ◽  
Data Centers ◽  
Recent Trend ◽  
Large Data ◽  
The Internet ◽  
Business Agility ◽  
Basic Parameters ◽  
User Demand ◽  
The Right

Cloud computing is a recent trend in IT that moves computing and data away from desktop and portable PCs into large data centers, and outsources the “applications” (hardware and software) as services over the Internet. Cloud computing promises to increase the velocity with which applications are deployed, increase innovation, and lower costs, all while increasing business agility. But, is the migration to the Cloud the most profitable option for every business? This chapter presents a study of the basic parameters for estimating the potential infrastructure and software costs deriving from building and deploying applications on cloud and on-premise assets. Estimated user demand and desired quality attributes related to an application are also addressed in this chapter as they are aspects of the decision problem that also influence the choice between cloud and in-house solutions.

scholarly journals Exploring Expansion and Innovations in Cloud Computing

2019 ◽  
Vol 1 (1) ◽  
pp. 46-59
Author(s):  
Jitendra Singh
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Cloud Services ◽  
Recent Past ◽  
Cloud Development ◽  
User Expectations ◽  
Cloud Evolution ◽  
The Impact

Cloud computing is one of the highly sought-after paradigms in information technology. In several cases, it has surpassed earlier predictions of growth, and expanding its services to cover all the key areas. With the growing usage of the cloud, new requirements have also surfaced. To meet user expectations, the cloud services pool has expanded drastically. In order to meet the subscriber's futuristic demands, cloud computing needs to advance further. This work undertakes the study of expansion and innovations that have already happened in the recent past. In addition, perceived cloud evolution in the futuristic cloud has been presented. During the course of exploration, the impact of hardware and software on evolution has been taken into account. Considering the benefits involved, and the current advancement, this work concludes by presenting the innovations that will lead to cloud development.

Examining IoT's Applications Using Cloud Services

2018 ◽  
pp. 147-163 ◽  
Author(s):  
Saravanan K ◽  
P. Srinivasan
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Distributed Computing ◽  
Knowledge Sharing ◽  
Effective Communication ◽  
Cloud Services ◽  
On Demand ◽  
Computing Paradigm ◽  
Iot Devices ◽  
And Storage

Cloud IoT has evolved from the convergence of Cloud computing with Internet of Things (IoT). The networked devices in the IoT world grow exponentially in the distributed computing paradigm and thus require the power of the Cloud to access and share computing and storage for these devices. Cloud offers scalable on-demand services to the IoT devices for effective communication and knowledge sharing. It alleviates the computational load of IoT, which makes the devices smarter. This chapter explores the different IoT services offered by the Cloud as well as application domains that are benefited by the Cloud IoT. The challenges on offloading the IoT computation into the Cloud are also discussed.

Quality of Cloud Services

2012 ◽  
pp. 1609-1620
Author(s):  
Anette Weisbecker
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Business Models ◽  
Value Added ◽  
Cloud Services ◽  
The Internet ◽  
Success Factor ◽  
Distributed Resources ◽  
Critical Success

Cloud Computing has become the predominant paradigm in information technology for the use of distributed resources. It enables the Internet of Services where different provider offer services and compose services to new value added services. For the emerging service value chains the quality the services plays an important role. Therefore, beside software engineering methods aspects like quality of services, business models, and the interaction with the customer have to be considered during the development of cloud services. This chapter describes how these aspects can be integrated in the development process by combining software and service engineering methods and considering quality as a critical success factor in the design time.

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