Empowering Microfinance Processes through Hybrid Cloud Based Services

2015 ◽  
Vol 5 (3) ◽  
pp. 1-17 ◽  
Author(s):  
Tagelsir Mohamed Gasmelseid
Keyword(s):  
Technical Assistance ◽  
Holistic Approach ◽  
Cloud Services ◽  
Social Goals ◽  
Hybrid Cloud ◽  
Microfinance Institutions ◽  
Cloud Environment ◽  
Information Infrastructures ◽  
Private And Public ◽  
Technological Developments

Microfinance plays an important role in the improvement of the livelihood of people especially in developing countries. The provision of microfinance services (such as micro loans, insurance, savings and technical assistance, among others) are considered as good measures for the reduction of poverty and levels of unemployment. The expansion of microfinance services has been accompanied with unprecedented technological developments that significantly affected the operational efficiency of microfinance institutions and dictated new axioms for information sharing. This paper is concerned with the use of hybrid cloud information infrastructures to facilitate engagement with stakeholders and improve the ability of MFIs to realize their business and social goals. The proposed infrastructure adopts a holistic approach that goes beyond viewing cloud services as being limited to the use of software-as-a-service (SaaS). In addition to describing the entire hybrid cloud environment, this paper reflects on the collective use of its “private” and “public” cloud components.

scholarly journals Application of user dew agent in hybrid-computing environments

2021 ◽  
Author(s):  
A.A. Pashinin ◽  
V.G. Bogdanova
Keyword(s):  
Dynamic Systems ◽  
High Performance ◽  
Cloud Services ◽  
Hybrid Cloud ◽  
Cloud Environment ◽  
Computing Technology ◽  
Developing Directions ◽  
Computing Environments ◽  
Constraint Method ◽  
Dew Computing

In recent years, research in Dew computing as a new layer in the vertical hierarchy of scalable computing has been developing. Directions for the development of this technology include research into the possibilities of Dew computing and its applications. Our research belongs to the second direction. We use this technology in a package of applied microservices for solving complex problems of the qualitative study of binary dynamic systems based on the Boolean constraint method in a hybrid cloud environment. This environment includes on-premises, high-performance, and cloud resources. In this paper, the usage of Dew computing technology in a hybrid cloud environment is discussed. A user dew agent installed on an on-premises resource is proposed to provide the possibility of the applied microservices package collaboration with cloud services in a hybrid cloud environment. The advantages of using a user dew agent are considered. The architecture, functionality, operation modes, and the installation of the dew agent are presented.

scholarly journals A Dynamic Prediction for Elastic Resource Allocation in Hybrid Cloud Environment

2020 ◽  
Vol 21 (4) ◽  
pp. 661-672
Author(s):  
Vipul Chudasama ◽  
Madhuri Bhavsar
Keyword(s):  
Queuing Theory ◽  
Performance Metrics ◽  
Cloud Model ◽  
Cloud Services ◽  
Hybrid Cloud ◽  
Dynamic Prediction ◽  
Threshold Policy ◽  
Adaptive Policy ◽  
Private And Public ◽  
Auto Scaling

Cloud applications heavily use resources and generate more traffic specifically during specific events. In order to achieve quality in service provisioning, the elasticity of resources is a major requirement. With the use of a hybrid cloud model, organizations combine the private and public cloud services to deploy applications for the elasticity of resources. For elasticity, a traditional adaptive policy implements threshold-based auto-scaling approaches that are adaptive and simple to follow. However, during a high dynamic and unpredictable workload, such a static threshold policy may not be effective. An efficient auto-scaling technique that predicts the system load is highly necessary. Balancing a dynamism of load through the best auto-scale policy is still a challenging issue. In this paper, we suggest an algorithm using Deep learning and queuing theory concepts that proactively indicate an appropriate number of future computing resources for short term resource demand. Experiment results show that the proposed model predicts SLA violation with higher accuracy 5% than the baseline model. The suggested model enhances the elasticity of resources with performance metrics.

scholarly journals AN INTEGRATED FRAMEWORK FOR SLA-AWARE MULTI-OBJECTIVE TASK SCHEDULING IN CLOUD COMPUTING

2021 ◽  
Vol 9 (2) ◽  
pp. 913-928
Author(s):  
Yadaiah Balagoni, Et. al.
Keyword(s):  
Energy Efficiency ◽  
State Of The Art ◽  
Scheduling Algorithm ◽  
Cloud Service ◽  
The State ◽  
Cloud Services ◽  
Hybrid Cloud ◽  
Cloud Environment ◽  
Cloud Infrastructure ◽  
Integrated Framework

Cloud services are offered to consumers based on Service Level Agreements (SLAs) signed between Cloud Service Provider (CSP) and consumer. Due to on-demand provisioning of resources there is exponential growth of cloud consumers. Job scheduling is one of the areas that has attracted researchers to improve performance of cloud management system. Along with the on premise infrastructure, Small and Medium Enterprises (SMEs) also depend on public cloud infrastructure (leading to hybrid cloud) for seamless continuity of their businesses. In this context, ensuring SLAs and effective management of hybrid cloud resources are major challenging issues to be considered. Hence, there is a need for an effective scheduling algorithm which considers multiple objective functions like SLA (deadline), cost and energy while making scheduling decisions. Most of the state of the art schedulers in hybrid cloud environment considered single objective function. However, in real world, it is inadequate for scheduling effectiveness. To overcome this problem, we proposed an integrated framework which ensures SLAs (deadline), cost effectiveness and energy efficiency with an underlying scheduling algorithm known as SCE-TS. This algorithm is evaluated with different workloads and SLAs using a cloud platform. The empirical study revealed that the proposed framework improves scheduling efficiency in terms of meeting SLAs, cost and energy efficiency. It is evaluated and compared with the state of the art and found to be effective in making scheduling decisions in cloud environment.

THE FOURTH INDUSTRIAL REVOLUTION (INDUSTRY 4.0) A SOCIAL INNOVATION PERSPECTIVE

2018 ◽  
Author(s):  
Klaus Schwab
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Social Innovation ◽  
Holistic Approach ◽  
Socioeconomic Impact ◽  
Fourth Industrial Revolution ◽  
Technological Developments ◽  
Rapid Pace ◽  
Sustainable System ◽  
Industrial Revolutions

The rapid pace of technological developments played a key role in the previous industrial revolutions. However, the fourth industrial revolution (Industry 4.0) and its embedded technology diffusion progress is expected to grow exponentially in terms of technical change and socioeconomic impact. Therefore, coping with such transformation require a holistic approach that encompasses innovative and sustainable system solutions and not just technological ones. In this article, we propose a framework that can facilitate the interaction between technological and social innovation to continuously come up with proactive, and hence timely, sustainable strategies. These strategies can leverage economic rewards, enrich society at large, and protect the environment. The new forthcoming opportunities that will be generated through the next industrial wave are gigantic at all levels. However, the readiness for such revolutionary conversion require coupling the forces of technological innovation and social innovation under the sustainability umbrella.

scholarly journals A Generic Model for Identifying QoS Parameters Interrelations in Cloud Services Selection Ontology during Runtime

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 563
Author(s):  
Babu Rajendiran ◽  
Jayashree Kanniappan
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Operating Costs ◽  
Generic Model ◽  
Business Organizations ◽  
Cloud Environment ◽  
Cloud Service Provider ◽  
Qos Parameters ◽  
Computer Based

Nowadays, many business organizations are operating on the cloud environment in order to diminish their operating costs and to select the best service from many cloud providers. The increasing number of Cloud Services available on the market encourages the cloud consumer to be conscious in selecting the most apt Cloud Service Provider that satisfies functionality, as well as QoS parameters. Many disciplines of computer-based applications use standardized ontology to represent information in their fields that indicate the necessity of an ontology-based representation. The proposed generic model can help service consumers to identify QoS parameters interrelations in the cloud services selection ontology during run-time, and for service providers to enhance their business by interpreting the various relations. The ontology has been developed using the intended attributes of QoS from various service providers. A generic model has been developed and it is tested with the developed ontology.

scholarly journals Addressing Semantics Standards for Cloud Portability and Interoperability in Multi Cloud Environment

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 317
Author(s):  
Chithambaramani Ramalingam ◽  
Prakash Mohan
Keyword(s):  
Service Providers ◽  
Research Work ◽  
Cloud Service ◽  
Cloud Services ◽  
Cloud Environment ◽  
Cloud Service Providers ◽  
Application Programming ◽  
Increasing Demand ◽  
Programming Interfaces ◽  
Multi Cloud

The increasing demand for cloud computing has shifted business toward a huge demand for cloud services, which offer platform, software, and infrastructure for the day-to-day use of cloud consumers. Numerous new cloud service providers have been introduced to the market with unique features that assist service developers collaborate and migrate services among multiple cloud service providers to address the varying requirements of cloud consumers. Many interfaces and proprietary application programming interfaces (API) are available for migration and collaboration services among cloud providers, but lack standardization efforts. The target of the research work was to summarize the issues involved in semantic cloud portability and interoperability in the multi-cloud environment and define the standardization effort imminently needed for migrating and collaborating services in the multi-cloud environment.

scholarly journals Detection System of HTTP DDoS Attacks in a Cloud Environment Based on Information Theoretic Entropy and Random Forest

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Mohamed Idhammad ◽  
Karim Afdel ◽  
Mustapha Belouch
Keyword(s):  
Random Forest ◽  
Network Traffic ◽  
Learning Algorithm ◽  
Detection System ◽  
Cloud Services ◽  
Detection Accuracy ◽  
Cloud Environment ◽  
Ddos Attacks ◽  
Information Theoretic ◽  
Computing Services

Cloud Computing services are often delivered through HTTP protocol. This facilitates access to services and reduces costs for both providers and end-users. However, this increases the vulnerabilities of the Cloud services face to HTTP DDoS attacks. HTTP request methods are often used to address web servers’ vulnerabilities and create multiple scenarios of HTTP DDoS attack such as Low and Slow or Flooding attacks. Existing HTTP DDoS detection systems are challenged by the big amounts of network traffic generated by these attacks, low detection accuracy, and high false positive rates. In this paper we present a detection system of HTTP DDoS attacks in a Cloud environment based on Information Theoretic Entropy and Random Forest ensemble learning algorithm. A time-based sliding window algorithm is used to estimate the entropy of the network header features of the incoming network traffic. When the estimated entropy exceeds its normal range the preprocessing and the classification tasks are triggered. To assess the proposed approach various experiments were performed on the CIDDS-001 public dataset. The proposed approach achieves satisfactory results with an accuracy of 99.54%, a FPR of 0.4%, and a running time of 18.5s.

An Architecture Paradigm for Providing Cloud Services in School Labs Based on Open Source Software to Enhance ICT in Education

2012 ◽  
Vol 2 (1) ◽  
pp. 44-57 ◽  
Author(s):  
Yannis Siahos ◽  
Iasonas Papanagiotou ◽  
Alkis Georgopoulos ◽  
Fotis Tsamis ◽  
Ioannis Papaioannou
Keyword(s):  
Classroom Management ◽  
Open Source ◽  
Open Source Software ◽  
Educational Software ◽  
Cloud Model ◽  
Cloud Services ◽  
Hybrid Cloud ◽  
Information Communication ◽  
Cloud Infrastructure ◽  
On Line

The authors present their experience and practices of introducing cloud services, as a means to simplify the adoption of ICT (Information Communication and Technology) in education, using Free/Open Source Software. The solution creates a hybrid cloud infrastructure, in order to provide a pre-installed (Ubuntu and Linux Terminal Server Project) virtual machine, acting as a server inside the school, providing desktop environment based on the Software as a Service cloud model, where legacy PCs act as stateless devices. Classroom management is accomplished using the application “Epoptes.” To minimize administration tasks, educational software is provided accordingly, either on-line or through repositories to automate software installation (including patches and updates). The advantages of the hybrid cloud implementation, include services that are not completely dependent on broadband connections’ state, minimal cost, reusability of obsolete equipment, ease of administration, centralized management, patches and educational software provisioning and, above all, facilitation of the educational procedure.

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