scholarly journals A Performance Evaluation of a Geo-Spatial Image Processing Service Based on Open Source PaaS Cloud Computing Using Cloud Foundry on OpenStack

2018 ◽  
Vol 10 (8) ◽  
pp. 1274 ◽  
Author(s):  
Kiwon Lee ◽  
Kwangseob Kim

Recently, web application services based on cloud computing technologies are being offered. In the web-based application field of geo-spatial data management or processing, data processing services are produced or operated using various information communication technologies. Platform-as-a-Service (PaaS) is a type of cloud computing service model that provides a platform that allows service providers to implement, execute, and manage applications without the complexity of establishing and maintaining the lower-level infrastructure components, typically related to application development and launching. There are advantages, in terms of cost-effectiveness and service development expansion, of applying non-proprietary PaaS cloud computing. Nevertheless, there have not been many studies on the use of PaaS technologies to build geo-spatial application services. This study was based on open source PaaS technologies used in a geo-spatial image processing service, and it aimed to evaluate the performance of that service in relation to the Web Processing Service (WPS) 2.0 specification, based on the Open Geospatial Consortium (OGC) after a test application deployment using the configured service supported by a cloud environment. Using these components, the performance of an edge extraction algorithm on the test system in three cases, of 300, 500, and 700 threads, was assessed through a comparison test with another test system, in the same three cases, using Infrastructure-as-a-Service (IaaS) without Load Balancer-as-a-Service (LBaaS). According to the experiment results, in all the test cases of WPS execution considered in this study, the PaaS-based geo-spatial service had a greater performance and lower error rates than the IaaS-based cloud without LBaaS.

Cloud computing technologies are getting matured day by day. Revolutions in underlying software, virtualization and hardware technologies related to storage, processing and computing technologies has helped cloud computing service providers to win trust of concerned stake holders. However, the exponentially increasing demand of cloud based resources has made task of resource management and utilization more and more challenging. A novel load balancing technique in cloud computing environment is presented in this paper. The virtual machines are implemented on an open source cloud computing platform on open source operating system. A virtual machines’ priorities based load balancing approach presented here indicates improvement in overall waiting time for load balancing. The mechanism prioritizes load balancing on same priority level virtual machines or lower priority level virtual machines.


10.31355/33 ◽  
2018 ◽  
Vol 2 ◽  
pp. 105-120
Author(s):  
Hamed Motaghi ◽  
Saeed Nosratabadi ◽  
Thabit Qasem Atobishi

NOTE: THIS ARTICLE WAS PUBLISHED WITH THE INFORMING SCIENCE INSTITUTE. Aim/Purpose................................................................................................................................................................................................. The main objective of the current study is to develop a business model for service providers of cloud computing which is designed based on circular economy principles and can ensure the sustainable consumption. Background Even though the demand for cloud computing technology is increasing day by day in all over the world, the current the linear economy principles are incapable to ensure society development needs. To consider the benefit of the society and the vendors at the same time, the principles of circular economy can address this issue. Methodology................................................................................................................................................................................................. An extensive literature review on consumption, sustainable consumption, circular economic, business model, and cloud computing were conducted. the proposed model of Osterwalder, Pigneur and Tucci (2005) is admitted designing the circular business model. Contribution................................................................................................................................................................................................. The proposed model of the study is the contribution of this study where provides the guidelines for the cloud computing service providers to achieve both their economic profits and the society’ needs. Findings Finding reveals that if the cloud computing service providers design their business model based on the “access” principle of circular economy, they can meet their economic profits and the society’ needs at a same time. Recommendations for Practitioners.............................................................................................................................................................. It is recommended to the startup and the existing businesses to utilize the proposed model of this study to reach a sustainable development. Recommendation for Researchers................................................................................................................................................................ It proposes a new circular business model and its linkages with community building. Impact on Society............................................................................................................................................................................................ The proposed model of the study provides guidelines to the cloud computing service providers to design a business model which is able not only to meet their economic profit, but also to meet the society’s and customers’ benefits. Future Research............................................................................................................................................................................................... Future researches can build on this research model which proposed in this study to examine the limitations of this model by using empirical researches.


Author(s):  
Shengju Yang

In order to solve the trust problems between users and cloud computing service providers in cloud computing services, the existing trust evaluation technology and access control technology in the cloud computing service are analyzed. And the evaluation index of cloud computing is also analyzed. Users can calculate the relevant indicators of cloud computing service according to their own business goals, and choose the appropriate cloud computing services according to their own trust need. In addition, the reliability assessment method of users based on the service process is proposed. Cloud computing access control system can be used for user credibility evaluation, and it can handle user access requests according to user's creditability. In the study, a cloud computing service trust evaluation tool is designed, and the modeling and architecture designs of trust evaluation are also given. The effectiveness of the method is verified by experiments on cloud computing service evaluation methods.


2018 ◽  
Vol 24 (1) ◽  
pp. 161-181 ◽  
Author(s):  
Yashar Abed ◽  
Meena Chavan

Data protection and data privacy are significant challenges in cloud computing for multinational corporations. There are no standard laws to protect data across borders. The institutional and regulatory constraints and governance differ across countries. This article explores the challenges of institutional constraints faced by cloud computing service providers in regard to data privacy issues across borders. Through a qualitative case study methodology, this research compares the institutional structure of a few host countries, with regard to data privacy in cloud computing and delineates a relative case study. This article will also review the cloud computing legal frameworks and the history of cloud computing to make the concept more comprehensible to a layman.


Author(s):  
A. K. Tripathi ◽  
S. Agrawal ◽  
R. D. Gupta

Abstract. Sharing and management of geospatial data among different communities and users is a challenge which is suitably addressed by Spatial Data Infrastructure (SDI). SDI helps people in the discovery, editing, processing and visualization of spatial data. The user can download the data from SDI and process it using the local resources. However, large volume and heterogeneity of data make this processing difficult at the client end. This problem can be resolved by orchestrating the Web Processing Service (WPS) with SDI. WPS is a service interface through which geoprocessing can be done over the internet. In this paper, a WPS enabled SDI framework with OGC compliant services is conceptualized and developed. It is based on the three tier client server architecture. OGC services are provided through GeoServer. WPS extension of GeoServer is used to perform geospatial data processing and analysis. The developed framework is utilized to create a public health SDI prototype using Open Source Software (OSS). The integration of WPS with SDI demonstrates how the various data analysis operations of WPS can be performed over the web on distributed data sources provided by SDI.


Info ◽  
2015 ◽  
Vol 17 (1) ◽  
pp. 54-67 ◽  
Author(s):  
Joseph Kwame Adjei

Purpose – The purpose of this paper is to explain the role of trust in cloud computing services based on empirical evidence from interviewing executives of financial institutions in Ghana. The paper answers the questions: what is the role of trust in cloud computing service acquisition, and what policies promote trusted cloud computing services? Design/methodology/approach – This is an explanatory paper that is based on literature review and empirical data on exploring reasons for cloud computing service acquisitions. A combination of interviews and focus group discussions was used as methods for data collection. Information technology and electronic banking executives of five major commercial banks in Accra, Ghana, between January and July 2013 were interviewed. A total of ten respondents were interviewed, two in each of the selected banks. A purposive sampling technique was used in the selection of informants. This approach allows the selection of qualified informants to ensure extensiveness and diversity of opinion. Findings – Although previous literature proffers various factors as key to cloud computing adoption, uses or provisioning, this study brings trust to the fore as an imperative for cloud computing service acquisition by financial institutions. It also shows that trust increases if users perceive that cloud computing service providers act in honesty and in users’ interest, making trust a fundamental factor that informs financial institutions’ decision to acquire cloud computing services. Research limitations/implications – The research introduces a new dimension about the widely held perceptions of the factors that influence adoption of cloud computing services. Practical implications – Developers of cloud computing solutions that are targeted at corporate users must focus on systems that enhances their trustworthiness, as it is a primary criteria for user buy-in. Similarly, any trust-building effort by cloud computing service providers minimizes users’ concerns and pushes the services providers closer to the trust threshold. Originality/value – The paper outlines the trust factors that are imperative for cloud computing uses by financial institutions. This is one of the pioneering papers that address trust issues in cloud computing from the perspective of financial institutions.


Author(s):  
Amandio Balcao-Filho ◽  
Narasha Ruiz ◽  
Ferrucio Rosa ◽  
Rodrio Bonacin ◽  
Mario Jino

2021 ◽  
Vol 12 (1) ◽  
pp. 74-83
Author(s):  
Manjunatha S. ◽  
Suresh L.

Data center is a cost-effective infrastructure for storing large volumes of data and hosting large-scale service applications. Cloud computing service providers are rapidly deploying data centers across the world with a huge number of servers and switches. These data centers consume significant amounts of energy, contributing to high operational costs. Thus, optimizing the energy consumption of servers and networks in data centers can reduce operational costs. In a data center, power consumption is mainly due to servers, networking devices, and cooling systems, and an effective energy-saving strategy is to consolidate the computation and communication into a smaller number of servers and network devices and then power off as many unneeded servers and network devices as possible.


Author(s):  
Hussain Al-Aqrabi ◽  
Lu Liu

The authors present the key security challenges and solutions on the Cloud with the help of literature reviews and an experimental model created on OPNET that is simulated to produce useful statistics to establish the approach that the Cloud computing service providers should take to provide optimal security and compliance. The literature recommends the concept of unified threat management for ensuring secured services on the Cloud. Through the simulation results, the authors demonstrate that UTM may not be a feasible approach to security implementation as it may become a bottleneck for the application Clouds. The fundamental benefits of Cloud computing (resources on demand and high elasticity) may be diluted if UTMs do not scale up effectively as per the traffic loads on the application Clouds. Moreover, it is not feasible for application Clouds to absorb the performance degradation for security and compliance because UTM will not be a total solution for security and compliance. Applications also share the vulnerabilities just like the systems, which will be out of UTM Cloud’s control.


Author(s):  
Jayashree K ◽  
Babu R ◽  
Chithambaramani R

The Internet of Things (IoT) architecture has gained an increased amount of attention from academia as well as the industry sector as a significant methodology for the development of innovative applications and systems. Currently, the merging of this architecture with that of Cloud computing has been largely motivated by the need for various applications and infrastructures in IoT. In addition to this, the Cloud ascends as an eminent solution that would help solve various challenges that are faced by the IoT standard when varied physical devices. There are an excessive number of Cloud service providers the web along with many other services. Thus, it becomes critical to choose the provider who can be efficient, consistent, and suitable, and who can deliver the best Quality of Service (QoS). Thus, this chapter discusses QoS for cloud computing and IoT.


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