A Comparative Cost Analysis of on Premises IT Infrastructure and Cloud-Based Email Services in an Indian Business School

2013 ◽  
Vol 3 (2) ◽  
pp. 21-34
Author(s):  
Sumedha Chauhan ◽  
Aparna Raman ◽  
N.P. Singh
Keyword(s):  
Cloud Computing ◽  
Net Present Value ◽  
Cost Effective ◽  
Time Frame ◽  
Disruptive Technology ◽  
It Infrastructure ◽  
Academic Needs ◽  
Go Model ◽  
Good Learning ◽  
The Cost

Cloud computing as a disruptive technology has given a chance to explore computing as a utility. The pay as you go model provides a flexible model to optimize cost. For different needs, cloud computing offers different models and services to balance the cost, time and resources. Faster communication is the need of each academic institute today to facilitate a good learning environment in a shorter and effective time frame. Email as a medium of communication gives a pace and substance to academic needs, especially in business schools. This paper aims to present a comparative analysis of the costs (on premises vs. cloud) for email implementation. Google apps for education have been considered for cloud based email service. Results show that the net present value (NPV) of cost for on premises infrastructure is more than NPV of cost for cloud based email service. This suggests cloud based email service is a cost effective solution for Indian B-schools to adopt.

scholarly journals A Comprehensive Review on Adaptability of Network Forensics Frameworks for Mobile Cloud Computing

2014 ◽  
Vol 2014 ◽  
pp. 1-27 ◽  
Author(s):  
Suleman Khan ◽  
Muhammad Shiraz ◽  
Ainuddin Wahid Abdul Wahab ◽  
Abdullah Gani ◽  
Qi Han ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Cost Effective ◽  
Data Access ◽  
Digital Content ◽  
Mobile Cloud ◽  
Network Attacks ◽  
Network Forensics ◽  
Network Forensic ◽  
The Cost

Network forensics enables investigation and identification of network attacks through the retrieved digital content. The proliferation of smartphones and the cost-effective universal data access through cloud has made Mobile Cloud Computing (MCC) a congenital target for network attacks. However, confines in carrying out forensics in MCC is interrelated with the autonomous cloud hosting companies and their policies for restricted access to the digital content in the back-end cloud platforms. It implies that existing Network Forensic Frameworks (NFFs) have limited impact in the MCC paradigm. To this end, we qualitatively analyze the adaptability of existing NFFs when applied to the MCC. Explicitly, the fundamental mechanisms of NFFs are highlighted and then analyzed using the most relevant parameters. A classification is proposed to help understand the anatomy of existing NFFs. Subsequently, a comparison is given that explores the functional similarities and deviations among NFFs. The paper concludes by discussing research challenges for progressive network forensics in MCC.

Data Placement and Query for Cloud Computing Based on MyHeawood Network

2014 ◽  
Vol 543-547 ◽  
pp. 3100-3104
Author(s):  
Xin Huang ◽  
Yu Xing Peng ◽  
Peng Fei You
Keyword(s):  
Cloud Computing ◽  
Interconnection Network ◽  
Cost Effective ◽  
Data Placement ◽  
Cloud Services ◽  
Massive Data ◽  
Massive Datasets ◽  
The Family ◽  
The Cost ◽  
Hashing Algorithm

The massive data in Data centers network will be frequently accessed massive datasets for cloud services, which will lead to some new requirements and becomes an important issue for interconnection topology and data management in cloud computing. According to the cost-effective, the paper proposes a new interconnection network MyHeawood for cloud computing. MyHeawood is constructed by small switches and servers with dual-port NIC according to recursive method. The data placement strategy in MyHeawood is a hashing algorithm based on the family of hash functions. MyHeawood uses three replicas strategy base on master copy, which is allocated in different sub layer to improve the reliability of data.

scholarly journals A review on various optimization techniques of resource provisioning in cloud computing

2019 ◽  
Vol 9 (1) ◽  
pp. 629
Author(s):  
K. Sumalatha ◽  
M. S. Anbarasi
Keyword(s):  
Cloud Computing ◽  
Resource Provisioning ◽  
Optimization Techniques ◽  
Application Performance ◽  
On Demand ◽  
Wide Range ◽  
Go Model ◽  
Uncertainty Parameters ◽  
The Cost ◽  
Research Avenue

<span lang="EN-US">Cloud computing is </span><span lang="EN-AU">the provision of IT resources (IaaS) on-demand using a pay as you go model over the internet</span><span lang="EN-US">.It is a</span><span lang="EN-AU"> broad and deep platform that helps customers builds sophisticated, scalable applications.</span><span lang="EN-US"> To get the full benefits, research on a wide range of topics is needed. While resource over-provisioning can cost users more than necessary, resource under provisioning hurts the application performance. The cost effectiveness of cloud computing highly depends on how well the customer can optimize the cost of renting resources (VMs) from cloud providers. The issue of resource provisioning optimization from cloud-consumer potential is a complicated optimization issue, which includes much uncertainty parameters. There is a much research avenue available for solving this problem as it is in the real-world. Here, in this paper we provide details about various optimization techniques for resource provisioning.</span>

scholarly journals Benchmarking undedicated cloud computing providers for analysis of genomic datasets.

2014 ◽  
Author(s):  
Seyhan Yazar ◽  
George EC Gooden ◽  
David A Mackey ◽  
Alex Hewitt
Keyword(s):  
Cloud Computing ◽  
Cost Effective ◽  
Clock Time ◽  
Male Genome ◽  
Computing Services ◽  
Amazon Web Services ◽  
Major Bottleneck ◽  
Cloud Computing Services ◽  
Biological Discovery ◽  
The Cost

A major bottleneck in biological discovery is now emerging at the computational level. Cloud computing offers a dynamic means whereby small and medium-sized laboratories can rapidly adjust their computational capacity. We benchmarked two established cloud computing services, Amazon Web Services Elastic MapReduce (EMR) on Amazon EC2 instances and Google Compute Engine (GCE), using publicly available genomic datasets (E.coli CC102 strain and a Han Chinese male genome) and a standard bioinformatic pipeline on a Hadoop-based platform. Wall-clock time for complete assembly differed by 52.9% (95%CI: 27.5-78.2) for E.coli and 53.5% (95%CI: 34.4-72.6) for human genome, with GCE being more efficient than EMR. The cost of running this experiment on EMR and GCE differed significantly, with the costs on EMR being 257.3% (95%CI: 211.5-303.1) and 173.9% (95%CI: 134.6-213.1) more expensive for E.coli and human assemblies respectively. Thus, GCE was found to outperform EMR both in terms of cost and wall-clock time. Our findings confirm that cloud computing is an efficient and potentially cost-effective alternative for analysis of large genomic datasets. In addition to releasing our cost-effectiveness comparison, we present available ready-to-use scripts for establishing Hadoop instances with Ganglia monitoring on EC2 or GCE.

scholarly journals Strategic Capacity Management With Modular Manufacturing And Outsourcing: A Case Study

2011 ◽  
Vol 4 (4) ◽  
Author(s):  
Ignacio Garcia ◽  
Ray Venkataraman
Keyword(s):  
Business Strategy ◽  
Net Present Value ◽  
Cost Model ◽  
Flow Analysis ◽  
Cost Effective ◽  
Product Line ◽  
Fixed Costs ◽  
Course Of Action ◽  
The Cost

<p class="MsoBodyTextIndent2" style="text-align: justify; line-height: normal; text-indent: 0in; margin: 0in 34.2pt 0pt 0.5in;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 10pt; mso-bidi-font-style: italic;">This paper proposes that downsizing an industrial manufacturer&rsquo;s capacity is a cost-effective strategy to reduce the cost of conversion while ensuring that adequate capacity is available to meet its business strategy requirements. A case study of a U.S. manufacturer of motors and other mechanical drive systems illustrates a proposed reduction in capacity that utilizes the development and implementation of a cost model to determine the best alternatives for a company whose capacity is not synchronized with its business strategy. The cost model for each alternative is investigated and compared against the &lsquo;Do nothing&rsquo; alternative, using net present value and cash flow analysis to build a case for the most effective course of action. The findings show the benefits of merging manufacturing by separating people, non-people, and fixed costs by facility, product line and product. In addition, the paper also illustrates the benefits of modular manufacturing and outsourcing as a way to further improve costs after the reduction of capacity.<span style="mso-spacerun: yes;">&nbsp; </span></span></p>

Cloud Computing and Its Implications for Construction IT

2021 ◽  
pp. 170-192
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Mobile Network ◽  
The Internet ◽  
It Infrastructure ◽  
Construction Company ◽  
Construction Companies ◽  
Increase Productivity ◽  
Iot Platforms ◽  
The Cost

By nature, a construction company needs to have data and information readily available at any stage and at any location. Given the often unstructured and fluid nature of construction activities, construction personnel face the challenge of collecting as well as collating data while on the move and at work under field conditions. With the advent of cloud computing and the rapidly increasing reach of the internet through wireless and mobile network carriers, construction companies are increasingly beginning to explore the power of information technology through cloud and IoT platforms. While at one stage, the cost of maintaining IT infrastructure was expensive for construction companies and engineering firms of all sizes, the rise of cloud computing has enabled to rationalize costs and investments while retaining high levels of productivity and service. This chapter discusses the various options that construction companies now have to choose from to streamline operations and increase productivity.

A SYSTEMATIC APPROACH FOR ASSESSING, IN THE ABSENCE OF FULL EVIDENCE, WHETHER MULTICOMPONENT INTERVENTIONS CAN BE MORE COST-EFFECTIVE THAN SINGLE COMPONENT INTERVENTIONS

2017 ◽  
Vol 33 (4) ◽  
pp. 444-453
Author(s):  
Janne C. Mewes ◽  
Lotte M.G. Steuten ◽  
Maarten J. IJzerman ◽  
Wim H. van Harten
Keyword(s):  
Cost Effectiveness ◽  
Systematic Approach ◽  
Cost Effective ◽  
Time Frame ◽  
Full Data ◽  
Single Intervention ◽  
Carry Over ◽  
Potential Methods ◽  
The Cost ◽  
Multicomponent Interventions

Objectives:Multicomponent interventions (MCIs), consisting of at least two interventions, are common in rehabilitation and other healthcare fields. When the effectiveness of the MCI versus that of its single interventions is comparable or unknown, evidence of their expected incremental cost-effectiveness can be helpful in deciding which intervention to recommend. As such evidence often is unavailable this study proposes an approach to estimate what is more cost-effective; the MCI or the single intervention(s).Methods:We reviewed the literature for potential methods. Of those identified, headroom analysis was selected as the most suitable basis for developing the approach, based on the criteria of being able to estimate the cost-effectiveness of the single interventions versus that of the MCI (a) within a limited time frame, (b) in the absence of full data, and (c) taking into account carry-over and interaction effects. We illustrated the approach with an MCI for cancer survivors.Results:The approach starts with analyzing the costs of the MCI. Given a specific willingness-to-pay-value, it is analyzed how much effectiveness the MCI would need to generate to be considered cost-effective, and if this is likely to be attained. Finally, the cost-effectiveness of the single interventions relative to the potential of the MCI for being cost-effective can be compared.Conclusions:A systematic approach using headroom analysis was developed for estimating whether an MCI is likely to be more cost effective than one (or more) of its single interventions.

scholarly journals Survey on Cloud Based Robotics Architecture, Challenges and Applications

2020 ◽  
Vol 2 (1) ◽  
pp. 10-18 ◽  
Author(s):  
Dr. Subarna Shakya
Keyword(s):  
Cloud Computing ◽  
Data Distribution ◽  
Cost Effective ◽  
Industrial Robots ◽  
Time Performance ◽  
Advanced Technologies ◽  
The Cost ◽  
Machine Communication ◽  
Cloud Technologies ◽  
Robotic Architecture

The emergence of the cloud computing, and the other advanced technologies has made possible the extension of the computing and the data distribution competencies of the robotics that are networked by developing an cloud based robotic architecture by utilizing both the centralized and decentralized cloud that is manages the machine to cloud and the machine to machine communication respectively. The incorporation of the robotic system with the cloud makes probable the designing of the cost effective robotic architecture that enjoys the enhanced efficiency and a heightened real- time performance. This cloud based robotics designed by amalgamation of robotics and the cloud technologies empowers the web enabled robots to access the services of cloud on the fly. The paper is a survey about the cloud based robotic architecture, explaining the forces that necessitate the robotics merged with the cloud, its application and the major concerns and the challenges endured in the robotics that is integrated with the cloud. The paper scopes to provide a detailed study on the changes influenced by the cloud computing over the industrial robots.

scholarly journals The Cost-Effectiveness of Digital Health Interventions on the Management of Cardiovascular Diseases: Systematic Review (Preprint)

2018 ◽  
Author(s):  
Xinchan Jiang ◽  
Wai-Kit Ming ◽  
Joyce HS You
Keyword(s):  
Systematic Review ◽  
Cost Effectiveness ◽  
Digital Health ◽  
Cost Effective ◽  
Time Frame ◽  
Health Interventions ◽  
Decision Analytic Model ◽  
Analytic Model ◽  
Model Based ◽  
The Cost

BACKGROUND With the advancement in information technology and mobile internet, digital health interventions (DHIs) are improving the care of cardiovascular diseases (CVDs). The impact of DHIs on cost-effective management of CVDs has been examined using the decision analytic model–based health technology assessment approach. OBJECTIVE The aim of this study was to perform a systematic review of the decision analytic model–based studies evaluating the cost-effectiveness of DHIs on the management of CVDs. METHODS A literature review was conducted in Medline, Embase, Cumulative Index to Nursing and Allied Health Literature Complete, PsycINFO, Scopus, Web of Science, Center for Review and Dissemination, and Institute for IEEE Xplore between 2001 and 2018. Studies were included if the following criteria were met: (1) English articles, (2) DHIs that promoted or delivered clinical interventions and had an impact on patients’ cardiovascular conditions, (3) studies that were modeling works with health economic outcomes of DHIs for CVDs, (4) studies that had a comparative group for assessment, and (5) full economic evaluations including a cost-effectiveness analysis, cost-utility analysis, cost-benefit analysis, and cost-consequence analysis. The primary outcome collected was the cost-effectiveness of the DHIs, presented by incremental cost per additional quality-adjusted life year (QALY). The quality of each included study was evaluated using the Consolidated Health Economic Evaluation Reporting Standards. RESULTS A total of 14 studies met the defined criteria and were included in the review. Among the included studies, heart failure (7/14, 50%) and stroke (4/14, 29%) were two of the most frequent CVDs that were managed by DHIs. A total of 9 (64%) studies were published between 2015 and 2018 and 5 (36%) published between 2011 and 2014. The time horizon was ≤1 year in 3 studies (21%), >1 year in 10 studies (71%), and 1 study (7%) did not declare the time frame. The types of devices or technologies used to deliver the health interventions were short message service (1/14, 7%), telephone support (1/14, 7%), mobile app (1/14, 7%), video conferencing system (5/14, 36%), digital transmission of physiologic data (telemonitoring; 5/14, 36%), and wearable medical device (1/14, 7%). The DHIs gained higher QALYs with cost saving in 43% (6/14) of studies and gained QALYs at a higher cost at acceptable incremental cost-effectiveness ratio (ICER) in 57% (8/14) of studies. The studies were classified as excellent (0/14, 0%), good (9/14, 64%), moderate (4/14, 29%), and low (1/14, 7%) quality. CONCLUSIONS This study is the first systematic review of decision analytic model–based cost-effectiveness analyses of DHIs in the management of CVDs. Most of the identified studies were published recently, and the majority of the studies were good quality cost-effectiveness analyses with an adequate duration of time frame. All the included studies found the DHIs to be cost-effective.

scholarly journals Software Defined Networking – Shaping up for the next disruptive step?

2015 ◽  
Vol 3 (4) ◽  
pp. 48-62 ◽  
Author(s):  
Doan Hoang
Keyword(s):  
Service Providers ◽  
Software Defined Networking ◽  
Cost Effective ◽  
Disruptive Technology ◽  
Control Plane ◽  
Network Resources ◽  
Control Data ◽  
Data Plane ◽  
The Cost ◽  
Shared Infrastructure

Software-Defined Networking (SDN) has emerged as a networking paradigm that can remove the limitations of current network infrastructures by separating the control plane from the data forwarding plane. As an immediate result, networks can be managed cost effectively and autonomously through centralising the decision-making capability at the control plane and the programmability of network devices on the data plane. This allows the two planes to evolve independently and open up separate horizontal markets on simplified network devices and programmable controllers.  More importantly, it opens up markets for infrastructure providers to provision and offer network resources on-demand to multiple tenants and for service providers to develop and deploy their services on shared infrastructure resources cost-effectively. This paper provides an essential understanding of the SDN concept and architecture. It discusses the important implications of the control/data plane separation on network devices, management and applications beyond the scope of the original SDN. It also discusses two major issues that may help to bring the disruptive technology forward: the intent northbound interface and the cost-effective SDN approaches for the industry.

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