Talking Avatar

2019 ◽  
Vol 15 (3) ◽  
pp. 1-13
Author(s):  
Feng Ye ◽  
Qian Huang ◽  
Shengyan Wu ◽  
Yong Chen
Keyword(s):  
Web Application ◽  
Cloud Service ◽  
Interface Layer ◽  
Cloud Services ◽  
Third Party ◽  
Web Based ◽  
Data Layer ◽  
Social Sharing ◽  
Face Synthesis ◽  
Talking Avatar

With the booming of the mobile computing and web technology, virtual and intelligent mobile applications become increasingly popular, e.g. web computing and web-based information retrieval. However, under contemporary network conditions and web application environment, it remains a challenging problem to achieve a trade-off between algorithm complexity and hardware performance. In this article, a Talking Avatar architecture is presented based on third-party cloud services. First, the authors propose a cloud service based multi-level layered software framework, which consists of user interface layer, business logic layer and data layer. Second, human face synthesis, speech conversion and social sharing schemes are introduced to integrate third-party cloud services. Third, experimental results on Android platforms indicate that the proposed Talking Avatar can be served efficiently in terms of memory consumption as well as average response time. In addition, stronger functions are provided compared with existing methods.

Configuring a Trusted Cloud Service Model for Smart City Exploration Using Hybrid Intelligence

2017 ◽  
Vol 8 (3) ◽  
pp. 1-21 ◽  
Author(s):  
Manash Sarkar ◽  
Soumya Banerjee ◽  
Youakim Badr ◽  
Arun Kumar Sangaiah
Keyword(s):  
Smart City ◽  
High Performance ◽  
Service Providers ◽  
Bat Algorithm ◽  
Cloud Service ◽  
Cloud Services ◽  
Third Party ◽  
Web Based ◽  
Proposed Model ◽  
Hybrid Intelligence

Emerging research concerns about the authenticated cloud service with high performance of security and assuring trust for distributed clients in a smart city. Cloud services are deployed by the third-party or web-based service providers. Thus, security and trust would be considered for every layer of cloud architecture. The principle objective of cloud service providers is to deliver better services with assurance of trust about clients' information. Cloud's users recurrently face different security challenges about the use of sharable resources. It is really difficult for Cloud Service Provider for adapting varieties of security policies to sustain their enterprises' goodwill. To make an optimistic decision that would be better suitable to provide a trusted cloud service for users' in smart city. Statistical method known as Multivariate Normal Distribution is used to select different attributes of different security entities for developing the proposed model. Finally, fuzzy multi objective decision making and Bio-Inspired Bat algorithm are applied to achieve the objective.

Configuring a Trusted Cloud Service Model for Smart City Exploration Using Hybrid Intelligence

2019 ◽  
pp. 847-869
Author(s):  
Manash Sarkar ◽  
Soumya Banerjee ◽  
Youakim Badr ◽  
Arun Kumar Sangaiah
Keyword(s):  
Smart City ◽  
High Performance ◽  
Service Providers ◽  
Bat Algorithm ◽  
Cloud Service ◽  
Cloud Services ◽  
Third Party ◽  
Web Based ◽  
Proposed Model ◽  
Hybrid Intelligence

Emerging research concerns about the authenticated cloud service with high performance of security and assuring trust for distributed clients in a smart city. Cloud services are deployed by the third-party or web-based service providers. Thus, security and trust would be considered for every layer of cloud architecture. The principle objective of cloud service providers is to deliver better services with assurance of trust about clients' information. Cloud's users recurrently face different security challenges about the use of sharable resources. It is really difficult for Cloud Service Provider for adapting varieties of security policies to sustain their enterprises' goodwill. To make an optimistic decision that would be better suitable to provide a trusted cloud service for users' in smart city. Statistical method known as Multivariate Normal Distribution is used to select different attributes of different security entities for developing the proposed model. Finally, fuzzy multi objective decision making and Bio-Inspired Bat algorithm are applied to achieve the objective.

Configuring a Trusted Cloud Service Model for Smart City Exploration Using Hybrid Intelligence

2018 ◽  
pp. 337-359
Author(s):  
Manash Sarkar ◽  
Soumya Banerjee ◽  
Youakim Badr ◽  
Arun Kumar Sangaiah
Keyword(s):  
Smart City ◽  
High Performance ◽  
Service Providers ◽  
Bat Algorithm ◽  
Cloud Service ◽  
Cloud Services ◽  
Third Party ◽  
Web Based ◽  
Proposed Model ◽  
Hybrid Intelligence

Emerging research concerns about the authenticated cloud service with high performance of security and assuring trust for distributed clients in a smart city. Cloud services are deployed by the third-party or web-based service providers. Thus, security and trust would be considered for every layer of cloud architecture. The principle objective of cloud service providers is to deliver better services with assurance of trust about clients' information. Cloud's users recurrently face different security challenges about the use of sharable resources. It is really difficult for Cloud Service Provider for adapting varieties of security policies to sustain their enterprises' goodwill. To make an optimistic decision that would be better suitable to provide a trusted cloud service for users' in smart city. Statistical method known as Multivariate Normal Distribution is used to select different attributes of different security entities for developing the proposed model. Finally, fuzzy multi objective decision making and Bio-Inspired Bat algorithm are applied to achieve the objective.

Performance Evaluation of Public IaaS Clouds for Web 2.0 Applications Using CloudStone Benchmark

2018 ◽  
pp. 292-314
Author(s):  
Sanjay P. Ahuja ◽  
Neha Soni
Keyword(s):  
Web 2.0 ◽  
Web Application ◽  
Cloud Service ◽  
Cloud Services ◽  
Public Cloud ◽  
Data Intensive ◽  
Social Events ◽  
Amazon Ec2 ◽  
And Performance ◽  
Workload Generator

Web 2.0 applications have become ubiquitous over the past few years because they provide useful features such as a rich, responsive graphical user interface that supports interactive and dynamic content. Social networking websites, blogs, auctions, online banking, online shopping and video sharing websites are noteworthy examples of Web 2.0 applications. The market for public cloud service providers is growing rapidly, and cloud providers offer an ever-growing list of services. As a result, developers and researchers find it challenging when deciding which public cloud service to use for deploying, experimenting or testing Web 2.0 applications. This study compares the scalability and performance of a social-events calendar application on two Infrastructure as a Service (IaaS) cloud services – Amazon EC2 and HP Cloud. This study captures and compares metrics on three different instance configurations for each cloud service such as the number of concurrent users (load), as well as response time and throughput (performance). Additionally, the total price of the three different instance configurations for each cloud service is calculated and compared. This comparison of the scalability, performance and price metrics provides developers and researchers with an insight into the scalability and performance characteristics of the three instance configurations for each cloud service, which simplifies the process of determining which cloud service and instance configuration to use for deploying their Web 2.0 applications. This study uses CloudStone – an open-source, three-tier web application benchmarking tool that simulates Web 2.0 application activities – as a realistic workload generator and to capture the intended metrics. The comparison of the collected metrics indicates that all of the tested Amazon EC2 instance configurations provide better scalability and lower latency at a lower cost than the respective HP Cloud instance configurations; however, the tested HP Cloud instance configurations provide a greater storage capacity than the Amazon EC2 instance configurations, which is an important consideration for data-intensive Web 2.0 applications.

scholarly journals Open Health Imaging Foundation Viewer: An Extensible Open-Source Framework for Building Web-Based Imaging Applications to Support Cancer Research

2020 ◽  
pp. 336-345 ◽  
Author(s):  
Erik Ziegler ◽  
Trinity Urban ◽  
Danny Brown ◽  
James Petts ◽  
Steve D. Pieper ◽  
...  
Keyword(s):  
Cancer Research ◽  
Open Source ◽  
Web Application ◽  
Data Exchange ◽  
Quantitative Imaging ◽  
Third Party ◽  
Web Based ◽  
Web Architecture ◽  
Imaging Research ◽  
Commercial Applications

PURPOSE Zero-footprint Web architecture enables imaging applications to be deployed on premise or in the cloud without requiring installation of custom software on the user’s computer. Benefits include decreased costs and information technology support requirements, as well as improved accessibility across sites. The Open Health Imaging Foundation (OHIF) Viewer is an extensible platform developed to leverage these benefits and address the demand for open-source Web-based imaging applications. The platform can be modified to support site-specific workflows and accommodate evolving research requirements. MATERIALS AND METHODS The OHIF Viewer provides basic image review functionality (eg, image manipulation and measurement) as well as advanced visualization (eg, multiplanar reformatting). It is written as a client-only, single-page Web application that can easily be embedded into third-party applications or hosted as a standalone Web site. The platform provides extension points for software developers to include custom tools and adapt the system for their workflows. It is standards compliant and relies on DICOMweb for data exchange and OpenID Connect for authentication, but it can be configured to use any data source or authentication flow. Additionally, the user interface components are provided in a standalone component library so that developers can create custom extensions. RESULTS The OHIF Viewer and its underlying components have been widely adopted and integrated into multiple clinical research platforms (e,g Precision Imaging Metrics, XNAT, LabCAS, ISB-CGC) and commercial applications (eg, Osirix). It has also been used to build custom imaging applications (eg, ProstateCancer.ai, Crowds Cure Cancer [presented as a case study]). CONCLUSION The OHIF Viewer provides a flexible framework for building applications to support imaging research. Its adoption could reduce redundancies in software development for National Cancer Institute–funded projects, including Informatics Technology for Cancer Research and the Quantitative Imaging Network.

Performance Evaluation of Public IaaS Clouds for Web 2.0 Applications Using CloudStone Benchmark

2017 ◽  
Vol 7 (1) ◽  
pp. 72-93
Author(s):  
Sanjay P. Ahuja ◽  
Neha Soni
Keyword(s):  
Web 2.0 ◽  
Web Application ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Public Cloud ◽  
Data Intensive ◽  
Social Events ◽  
Amazon Ec2 ◽  
And Performance

Web 2.0 applications have become ubiquitous over the past few years because they provide useful features such as a rich, responsive graphical user interface that supports interactive and dynamic content. Social networking websites, blogs, auctions, online banking, online shopping and video sharing websites are noteworthy examples of Web 2.0 applications. The market for public cloud service providers is growing rapidly, and cloud providers offer an ever-growing list of services. As a result, developers and researchers find it challenging when deciding which public cloud service to use for deploying, experimenting or testing Web 2.0 applications. This study compares the scalability and performance of a social-events calendar application on two Infrastructure as a Service (IaaS) cloud services – Amazon EC2 and HP Cloud. This study captures and compares metrics on three different instance configurations for each cloud service such as the number of concurrent users (load), as well as response time and throughput (performance). Additionally, the total price of the three different instance configurations for each cloud service is calculated and compared. This comparison of the scalability, performance and price metrics provides developers and researchers with an insight into the scalability and performance characteristics of the three instance configurations for each cloud service, which simplifies the process of determining which cloud service and instance configuration to use for deploying their Web 2.0 applications. This study uses CloudStone – an open-source, three-tier web application benchmarking tool that simulates Web 2.0 application activities – as a realistic workload generator and to capture the intended metrics. The comparison of the collected metrics indicates that all of the tested Amazon EC2 instance configurations provide better scalability and lower latency at a lower cost than the respective HP Cloud instance configurations; however, the tested HP Cloud instance configurations provide a greater storage capacity than the Amazon EC2 instance configurations, which is an important consideration for data-intensive Web 2.0 applications.

Runtime Reusable Weaving Model for Cloud Services Using Aspect-Oriented Programming

2019 ◽  
pp. 574-591
Author(s):  
Anas M.R. Alsobeh ◽  
Aws Abed Al Raheem Magableh ◽  
Emad M. AlSukhni
Keyword(s):  
Cloud Computing ◽  
Cloud Service ◽  
Cloud Services ◽  
Technical Solution ◽  
Sensitive Data ◽  
Aspect Oriented Programming ◽  
Web Based ◽  
Crosscutting Concerns ◽  
Proposed Model ◽  
The Right

Cloud computing technology has opened an avenue to meet the critical need to securely share distributed resources and web services, and especially those that belong to clients who have sensitive data and applications. However, implementing crosscutting concerns for cloud-based applications is a challenge. This challenge stems from the nature of distributed Web-based technology architecture and infrastructure. One of the key concerns is security logic, which is scattered and tangled across all the cloud service layers. In addition, maintenance and modification of the security aspect is a difficult task. Therefore, cloud services need to be extended by enriching them with features to support adaptation so that these services can become better structured and less complex. Aspect-oriented programming is the right technical solution for this problem as it enables the required separation when implementing security features without the need to change the core code of the server or client in the cloud. Therefore, this article proposes a Runtime Reusable Weaving Model for weaving security-related crosscutting concerns through layers of cloud computing architecture. The proposed model does not require access to the source code of a cloud service and this can make it easier for the client to reuse the needed security-related crosscutting concerns. The proposed model is implemented using aspect orientation techniques to integrate cloud security solutions at the software-as-a-service layer.

A Framework for Compliance and Security Coverage Estimation for Cloud Services

2014 ◽  
pp. 91-114
Author(s):  
Dipankar Dasgupta ◽  
Durdana Naseem
Keyword(s):  
Insurance Coverage ◽  
Cloud Service ◽  
Cloud Services ◽  
Third Party ◽  
Security Requirements ◽  
Online Data ◽  
Customer Data ◽  
Chain Of Custody ◽  
Security As A Service ◽  
Coverage Estimation

Many organizations are adopting cloud services to reduce their computing cost and increase the flexibility of their IT infrastructure. As cloud services are moving to the mainstream to meet major computing needs, the issues of ownership and chain of custody of customer data are becoming primary responsibilities of providers. Therefore, security requirements are essential for all service models (while the degree of defensive measures may vary) along with satisfying industry standard compliances. The authors develop an insurance framework called MEGHNAD for estimating the security coverage based on the type of cloud service and the level of security assurance required. This security coverage estimator may be useful to cloud providers (offering Security as a Service), cloud adopters, and cloud insurers who want to incorporate or market cloud security insurance. This framework allows the user/operator to choose a cloud service (such as Saas, Paas, IaaS) and other pertinent information in order to determine the appropriate level of security insurance coverage. This chapter describes an extension to the MEGHNAD (version 2.0) framework by incorporating security-related compliances. The compliance for each sector requires specific protection for online data such as transparency, respect for context, security, focused collection, accountability, access, and accuracy. The MEGHNAD tool can also generate a SLA document that can be used for monitoring by a certified Third-Party Assessment Organization (3PAO).

An Efficient Framework for a Third Party Auditor in Cloud Computing Environments

2019 ◽  
Vol 63 (9) ◽  
pp. 1285-1297 ◽  
Author(s):  
S Mahdavi-Hezavehi ◽  
Y Alimardani ◽  
R Rahmani
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Third Party ◽  
Cloud Environment ◽  
Cloud Service Providers ◽  
Cloud Environments ◽  
Cost Efficient ◽  
Monitoring Service

Abstract Cloud Service Providers supply services to clients in terms of their demands. They need to be constantly under monitoring for their services with respect to consensus agreements between clients and service providers. A Third Party Auditor or TPA as a trusted organization appears to be necessary to monitor executing agreements of cloud services. Using a third party as an extra component creates cost overheads for clients in a cloud environment. Thus, introducing a cost efficient framework for a cloud environment which includes a third party is an eminent achievement to make a TPA feasible and practical in cloud environments. In this paper, we propose a TPA framework for monitoring service level agreements between cloud service providers and cloud clients using several cloud resources. This framework employs different types of service deployments from various cloud service providers excluding the cloud service provider which is being monitored. Then, we demonstrate that the framework can mitigate costs of a third party auditor in a cloud environment. Simulations of trends for costs exhibits cost efficiency of at least forty percent over ten years when a TPA follows our proposed framework in comparison to other frameworks. Finally, we provide an analysis to compare characteristics of our framework with other frameworks and discuss the advantages of our proposed framework. Our results indicate that TPA as a component of the framework not only reduces overall costs of its presentation in a cloud environment but additionally improves management efficiency and security.

scholarly journals Data security and storage in cloud using hybrid algorithms

2018 ◽  
Vol 7 (2.20) ◽  
pp. 150
Author(s):  
L Archana ◽  
K P. K. Devan ◽  
P Harikumar
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Service Providers ◽  
Cloud Service ◽  
Hybrid Algorithms ◽  
Cloud Services ◽  
Third Party ◽  
Security Mechanism ◽  
Cloud Servers ◽  
And Storage

Cloud Computing has already grabbed its roots in many industries. It has become a fascinating choice for small budget organizations, as On-demand resources are available on pay as you use basis. However, security of data being stored at cloud servers is still a big question for organizations in today’s digital era where information is money. Large organizations are reluctant to switch to cloud services since they have threat of their data being manipulated. Cloud service provider’s claim of providing robust security mechanism being maintained by third party, but still there are many reported incidents of security breach in cloud environment in past few years. Thus, there is need for ro-bust security mechanism to be adopted by cloud service providers in order for excelling cloud computing. Since there are n number of data’s in cloud, Storage of those data are to be placed with high rank of Significance. In Existing system, no efficient hybrid algorithms are used there by security and storage is compromised to significant ratio. We propose AES and Fully Homomorphic algorithm to encrypt the data, thereby file size get is compressed thereby increasing Data security and stack pile.  

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