scholarly journals An optimization approach to capacity evaluation and investment decision of hybrid cloud: a corporate customer’s perspective

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
In Lee
Keyword(s):  
Cloud Computing ◽  
Investment Decision ◽  
Optimal Investment ◽  
Optimization Approach ◽  
Hybrid Cloud ◽  
Public Cloud ◽  
Private Cloud ◽  
Penalty Cost ◽  
Require Time ◽  
The Public

Abstract While the rapid growth of cloud computing is driven by the surge of big data, the Internet of Things, and social media applications, an evaluation and investment decision for cloud computing has been challenging for corporate managers due to a lack of proper decision models. This paper attempts to identify critical variables for making a cloud capacity decision from a corporate customer’s perspective and develops a base mathematical model to aid in a hybrid cloud investment decision under probabilistic computing demands. The identification of the critical variables provides a means by which a corporate customer can effectively evaluate various cloud capacity investment opportunities. Critical variables included in this model are an actual computing demand, the amount of private cloud capacity purchased, the purchase cost of the private cloud capacity, the price of the public cloud, and the default downtime loss/penalty cost. Extending the base model developed, this paper also takes into consideration the interoperability cost incurred in cloud bursting to the public cloud and derives the optimal investment. The interoperable cloud systems require time and investment by the users and/or cloud providers and there exists a diminishing return on the investment. Hence, the relationship between the interoperable cloud investment and return on investment is also investigated.

scholarly journals Data Placement for Privacy-Aware Applications over Big Data in Hybrid Clouds

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Xiaolong Xu ◽  
Xuan Zhao ◽  
Feng Ruan ◽  
Jie Zhang ◽  
Wei Tian ◽  
...  
Keyword(s):  
Big Data ◽  
Energy Consumption ◽  
Data Placement ◽  
Cloud Services ◽  
Hybrid Cloud ◽  
Public Cloud ◽  
Private Cloud ◽  
The Public ◽  
Placement Method ◽  
The Cost

Nowadays, a large number of groups choose to deploy their applications to cloud platforms, especially for the big data era. Currently, the hybrid cloud is one of the most popular computing paradigms for holding the privacy-aware applications driven by the requirements of privacy protection and cost saving. However, it is still a challenge to realize data placement considering both the energy consumption in private cloud and the cost for renting the public cloud services. In view of this challenge, a cost and energy aware data placement method, named CEDP, for privacy-aware applications over big data in hybrid cloud is proposed. Technically, formalized analysis of cost, access time, and energy consumption is conducted in the hybrid cloud environment. Then a corresponding data placement method is designed to accomplish the cost saving for renting the public cloud services and energy savings for task execution within the private cloud platforms. Experimental evaluations validate the efficiency and effectiveness of our proposed method.

scholarly journals Desain Dan Implementasi Hybrid Cloud Computing Sebagai Infrastruktur Untuk Analisis Big Data Menggunakan Analytic Hierarchy Process(AHP)

Techno Com ◽  
2018 ◽  
Vol 17 (4) ◽  
pp. 404-414
Author(s):  
Toga Aldila Cinderatama ◽  
Yoppy Yunhasnawa ◽  
Rinanza Zulmy Alhamri
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Cloud Provider ◽  
Hybrid Cloud ◽  
Public Cloud ◽  
Private Cloud ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Dalam implementasi big data biasanya membutuhkan sumber daya yang cukup besar untuk dapat melakukan analisis terhadap data-data yang jumlahnya sangat besar tersebut, hal ini biasanya menjadi kendala dikarenakan keterbatasan sumber daya yang dimiliki. Komputasi awan (cloud computing) yang salah satunya mempunyai sifat elasticity di dalamnya, menawarkan solusi keterbatasan sumber daya ini. Sumber daya yang terbatas misalkan dalam hal processor, RAM atau storage, dapat digabungkan dengan sumber daya yang dimiliki public cloud provider yang tersedia di market. Sehingga penggabungan 2 sumber daya ini, private cloud dan public cloud, diharapkan menjadi solusi untuk dapat mengimplementasikan analisis big data yang dapat diterapkan untuk analisis berbagai macam bidang. Secara umum penelitian ini bertujuan untuk mengimplementasikan hybrid cloud yang menggabungkan sumber daya dari private cloud dengan sumber daya dari public cloud sebagai infrastruktur untuk analisis big data. Secara khusus tujuan penelitian ini adalah merumuskan sebuah metode minimalisasi cost dalam pemilihan public cloud dengan pendekatan sistem pendukung keputusan menggunakan Fuzzy AHP pada pemilihan public cloud. Langkah pertama yang dilakukan dalam penelitian ini adalah pengumpulan data cost penggunaan resource dari public cloud. Selanjutnya dilakukan analisis kebutuhan sumber daya yang diperlukan untuk melalukan analisis big data dengan studi kasus topik tertentu. Selanjutnya tahap analisis terhadap pemilihan public cloud yang tepat untuk digunakan sumber dayanya dengan pertimbangan minimalisasi cost. Langkah terakhir adalah implementasi hybrid cloud dan melakukan analisis dan evaluasi terhadap metode yang diusulkan.

A Review on Load Balancing Model Using Best Partition Technique

2017 ◽  
Vol 7 (8) ◽  
pp. 284
Author(s):  
M. Chaitanya ◽  
K. Durga Charan
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Load Balancing ◽  
Load Balance ◽  
Large Impact ◽  
Cloud Environment ◽  
Public Cloud ◽  
The Public ◽  
Partition Technique ◽  
Textual Content

Load balancing makes cloud computing greater knowledgeable and could increase client pleasure. At reward cloud computing is among the all most systems which offer garage of expertise in very lowers charge and available all the time over the net. However, it has extra vital hassle like security, load administration and fault tolerance. Load balancing inside the cloud computing surroundings has a large impact at the presentation. The set of regulations relates the sport idea to the load balancing manner to amplify the abilties in the public cloud environment. This textual content pronounces an extended load balance mannequin for the majority cloud concentrated on the cloud segregating proposal with a swap mechanism to select specific strategies for great occasions.

Cloud Computing Application Pattern Library

2014 ◽  
Vol 631-632 ◽  
pp. 192-195
Author(s):  
Lin Xu
Keyword(s):  
Cloud Computing ◽  
Public Cloud ◽  
Private Cloud ◽  
Library Development ◽  
Mixed Pattern ◽  
Pattern Center

On the basis of cloud computing introduction, the significance of cloud computing on library development is led out. It introduces several kinds of clouds applied in libraries at present—library carried on public cloud, library carried on private cloud and library carried on mixed cloud. It shows several patterns of cloud computing used in library—Internet carrying pattern, center-branch pattern and mixed pattern. Finally, the application pattern frame of library cloud computing is drawn up..

scholarly journals A Conceptual Model for Cloud Computing Adoption by SMEs in Australia

2016 ◽  
pp. 307-334 ◽  
Author(s):  
Ishan Senarathna ◽  
Matthew Warren ◽  
William Yeoh ◽  
Scott Salzman
Keyword(s):  
Cloud Computing ◽  
Conceptual Model ◽  
Business Service ◽  
Perceived Benefits ◽  
Public Cloud ◽  
Total Cost ◽  
The Public ◽  
Software Applications ◽  
On Demand ◽  
Cloud Computing Adoption

Cloud Computing is an increasingly important worldwide development in business service provision. The business benefits of Cloud Computing usage include reduced IT overhead costs, greater flexibility of services, reduced TCO (Total Cost of Ownership), on-demand services, and improved productivity. As a result, Small and Medium-Sized Enterprises (SMEs) are increasingly adopting Cloud Computing technology because of these perceived benefits. The most economical deployment model in Cloud Computing is called the Public Cloud, which is especially suitable for SMEs because it provides almost immediate access to hardware resources and reduces their need to purchase an array of advanced hardware and software applications. The changes experienced in Cloud Computing adoption over the past decade are unprecedented and have raised important issues with regard to privacy, security, trust, and reliability. This chapter presents a conceptual model for Cloud Computing adoption by SMEs in Australia.

scholarly journals Toward a Unified Framework for the Heterogeneous Cloud Utilizing Bytecode Containers

2021 ◽  
Author(s):  
David Andrew Lloyd Tenty
Keyword(s):  
Cloud Computing ◽  
Resource Utilization ◽  
Heterogeneous Systems ◽  
Public Cloud ◽  
Unified Framework ◽  
The Public ◽  
Cloud Environments ◽  
Heterogeneous Cloud ◽  
Systems Framework ◽  
Computing Landscape

As we approach the limits of Moore’s law the Cloud computing landscape is becoming ever more heterogeneous in order to extract more performance from available resources. Meanwhile, the container-based cloud is of growing importance as a lightweight way to deploy applications. A unified heterogeneous systems framework for use with container-based applications in the heterogeneous cloud is required. We present a bytecode-based framework and it’s implementation called Man O’ War, which allows for the creation of novel, portable LLVM bitcode-based containers for use in the heterogeneous cloud. Containers in Man O’ War enabled systems can be efficiently specialized for the available hardware within the Cloud and expand the frontiers for optimization in heterogeneous cloud environments. We demonstrate that a framework utilizing portable bytecode-based containers eases optimizations such as heterogeneous scaling which have the potential to improve resource utilization and significantly lower costs for users of the public cloud.

Cloud Computing

2018 ◽  
pp. 1026-1032
Author(s):  
Eduardo Correia
Keyword(s):  
Cloud Computing ◽  
Rapid Change ◽  
Software As A Service ◽  
Hybrid Cloud ◽  
Public Cloud ◽  
Platform As A Service ◽  
Key Concepts ◽  
Service Models ◽  
Definition Of ◽  
Community Cloud

Cloud computing makes use of many standard technologies in surprisingly novel ways. It leaves many people bewildered, even confused, especially as it is an area of computing that is undergoing rapid change in terms of a diversification of available services and the growth in underlying contingent technologies. This article shows how the cloud has changed the user experience and goes on to discuss the definition of cloud computing most commonly used. It describes the three service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) and then discusses the four deployment models of private cloud, public cloud, hybrid cloud and community cloud. It concludes with how the cloud impacts security and how most organizations will likely make use of multiple cloud providers. This article introduces key concepts and characteristics of cloud computing, in this way covering in broad terms what it is and how it essentially works.

Software Design for Passing Sarbanes-Oxley in Cloud Computing

2014 ◽  
pp. 1659-1674
Author(s):  
Solomon Lasluisa ◽  
Ivan Rodero ◽  
Manish Parashar
Keyword(s):  
Cloud Computing ◽  
Implementation Process ◽  
Legal Issues ◽  
General Analysis ◽  
Legal Regulations ◽  
Public Cloud ◽  
The Public ◽  
Sarbanes Oxley ◽  
Legal Constraint ◽  
Specific Analysis

The purpose of this chapter is to identify and analyze the challenges of creating new software in the public cloud due to legal regulations. Specifically, this chapter explores how the Sarbanes-Oxley Act (SOX) will indirectly affect the development and implementation process of cloud computing applications in terms of software engineering and actual legality of said software solutions. The goal of this chapter is twofold - to bring attention to the need for specific analysis of legal issues in public clouds (as opposed to general analysis), and to illustrate the need for cloud developers to address legal constraint while creating their platforms, in order to increase their viability in the corporate environment.

Software Design for Passing Sarbanes-Oxley in Cloud Computing

2012 ◽  
pp. 27-42
Author(s):  
Solomon Lasluisa ◽  
Ivan Rodero ◽  
Manish Parashar
Keyword(s):  
Cloud Computing ◽  
Implementation Process ◽  
Legal Issues ◽  
General Analysis ◽  
Legal Regulations ◽  
Public Cloud ◽  
The Public ◽  
Sarbanes Oxley ◽  
Legal Constraint ◽  
Specific Analysis

The purpose of this chapter is to identify and analyze the challenges of creating new software in the public cloud due to legal regulations. Specifically, this chapter explores how the Sarbanes-Oxley Act (SOX) will indirectly affect the development and implementation process of cloud computing applications in terms of software engineering and actual legality of said software solutions. The goal of this chapter is twofold - to bring attention to the need for specific analysis of legal issues in public clouds (as opposed to general analysis), and to illustrate the need for cloud developers to address legal constraint while creating their platforms, in order to increase their viability in the corporate environment.

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