scholarly journals Designing an Efficient Cloud Management Architecture for Sustainable Online Lifelong Education

2019 ◽  
Vol 11 (6) ◽  
pp. 1523 ◽  
Author(s):  
TaeYoung Kim ◽  
JongBeom Lim
Keyword(s):  
Information System ◽  
Service Level Agreement ◽  
Service Level ◽  
Lifelong Education ◽  
Text Learning ◽  
Demand Learning ◽  
Management Scheme ◽  
E Learning ◽  
Media Learning ◽  
Machine Allocation

As online learning and e-learning are prevalent and widely used in education, it is important to design an efficient and reliable information system for storing learning data and providing on-demand learning services. In this paper, we design a cloud-based information system architecture for online lifelong education. Since a cloud system is based on virtualization technology, we propose a virtual resource management scheme—virtual machine allocation and monitoring nodes assignment. With the proposed cloud-based architecture, we can build and operate an e-learning information system for online lifelong education, which requires efficiency, reliability, and persistence. The evaluation results show that our proposed method can deal with more tasks for e-learning (requests for learning management system (LMS) navigations, text learning contents, text and media learning contents, and video learning contents) while introducing 48× fewer service level agreement (SLA) violations than the existing method.

scholarly journals Supporting SLA via Adaptive Mapping and Heterogeneous Storage Devices in Ceph

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 847
Author(s):  
Sopanhapich Chum ◽  
Heekwon Park ◽  
Jongmoo Choi
Keyword(s):  
Positive Impact ◽  
Distributed Storage ◽  
Storage System ◽  
Hard Disk Drives ◽  
Service Level Agreement ◽  
Service Level ◽  
Cost Ratio ◽  
Solid State Drives ◽  
Storage Devices ◽  
Management Scheme

This paper proposes a new resource management scheme that supports SLA (Service-Level Agreement) in a bigdata distributed storage system. Basically, it makes use of two mapping modes, isolated mode and shared mode, in an adaptive manner. In specific, to ensure different QoS (Quality of Service) requirements among clients, it isolates storage devices so that urgent clients are not interfered by normal clients. When there is no urgent client, it switches to the shared mode so that normal clients can access all storage devices, thus achieving full performance. To provide this adaptability effectively, it devises two techniques, called logical cluster and normal inclusion. In addition, this paper explores how to exploit heterogeneous storage devices, HDDs (Hard Disk Drives) and SSDs (Solid State Drives), to support SLA. It examines two use cases and observes that separating data and metadata into different devices gives a positive impact on the performance per cost ratio. Real implementation-based evaluation results show that this proposal can satisfy the requirements of diverse clients and can provide better performance compared with a fixed mapping-based scheme.

scholarly journals EFFICIENT RESOURCE MANAGEMENT ON CONTAINER AS A SERVICE

2021 ◽  
Author(s):  
Paul ChanHyung Park
Keyword(s):  
Resource Management ◽  
Service Level Agreement ◽  
Service Level ◽  
Fixed Number ◽  
Fine Tuning ◽  
Management Capability ◽  
Management Scheme ◽  
Generic Management ◽  
Efficient Resource ◽  
Dynamic Resource

Docker has been widely adopted as a platform solution for microservice. As the popularity of microservice increases, the importance of fine-tuning the efficiency of resource management in the Docker platform also increases. While Docker’s out-of-box resource management solution provides some generic management capability, more work is required to improve resource utilization and enforce Service Level Agreement (SLA) for critical services. In this research, an efficient Docker resource management scheme, called Adaptive SLA Enforcement, is designed and implemented. For the sake of comparison, we also study and implement three simpler schemes: 1) Fixed Number of Containers, 2) Dynamic Resource Management without SLA Enforcement, 3) Strict SLA Enforcement. We found that the Adaptive SLA Enforcement scheme can deliver efficient resource management with SLA enforcement, thus successfully addressing the deficiencies of the other three schemes.

scholarly journals EFFICIENT RESOURCE MANAGEMENT ON CONTAINER AS A SERVICE

2021 ◽  
Author(s):  
Paul ChanHyung Park
Keyword(s):  
Resource Management ◽  
Service Level Agreement ◽  
Service Level ◽  
Fixed Number ◽  
Fine Tuning ◽  
Management Capability ◽  
Management Scheme ◽  
Generic Management ◽  
Efficient Resource ◽  
Dynamic Resource

Docker has been widely adopted as a platform solution for microservice. As the popularity of microservice increases, the importance of fine-tuning the efficiency of resource management in the Docker platform also increases. While Docker’s out-of-box resource management solution provides some generic management capability, more work is required to improve resource utilization and enforce Service Level Agreement (SLA) for critical services. In this research, an efficient Docker resource management scheme, called Adaptive SLA Enforcement, is designed and implemented. For the sake of comparison, we also study and implement three simpler schemes: 1) Fixed Number of Containers, 2) Dynamic Resource Management without SLA Enforcement, 3) Strict SLA Enforcement. We found that the Adaptive SLA Enforcement scheme can deliver efficient resource management with SLA enforcement, thus successfully addressing the deficiencies of the other three schemes.

An Innovative SLA-Based Service Monitoring Framework in Cloud

2018 ◽  
Vol 17 (02) ◽  
pp. 1850017
Author(s):  
Mridul Paul ◽  
Ajanta Das
Keyword(s):  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Information Communication ◽  
Computing Services ◽  
Service Monitoring ◽  
Arduous Task ◽  
Monitoring Framework ◽  
E Learning

Cloud computing encompasses powerful technology to perform complex computing for large applications. It provides access to various resources from any location with reduced Information Communication Technology overhead, enabling availability and scalability of resources based on consumer needs. Therefore, it has brought a paradigm shift in the way computing services are delivered. However, due to its increasing usage and rising expectations from cloud service provisioning, providing optimal and effective service is becoming an arduous task for service providers. Thus, maintaining quality of service (QoS) through regular monitoring is the utmost priority for the service provider. The key ingredient of managing QoS is a service level agreement (SLA). SLAs form a basis of measuring service quality. The cloud can be leveraged for provisioning e-Learning services to serve millions of users. The e-Learning service providers can enter into a contract with available cloud providers, which is transparent to the learners. Hence, it is critical to focus on the SLAs that need to be formulated and managed by the service providers for consumers of their e-Learning services. The objective of this paper is to propose SLA-based e-Learning service framework. This paper also identifies SLA parameters and related metrics to measure SLAs relevant to the provisioning of the proposed e-Learning service. It also proposes an innovative e-Learning service monitoring framework for managing QoS. This paper further evaluates the effectiveness of the proposed framework by provisioning of e-Learning service on Google App Engine cloud platform. It also presents experimental analysis using response graph in order to monitor associated SLAs in the proposed framework.

scholarly journals Preliminary Data Examination on Effort Estimation of Resources Needed to Upload Content on Learning Management System (LMS)

2019 ◽  
Vol 8 (3S3) ◽  
pp. 129-135
Keyword(s):  
Service Level Agreement ◽  
Service Level ◽  
Content Delivery ◽  
Middle Level ◽  
Effort Estimation ◽  
Creep Life ◽  
Resource Requirement ◽  
Content Development ◽  
E Learning

Effort Estimation has been a challenging part of e-Learning due to the growing change in technology. E-Learning industry has to meet dynamic requirements of the customer. Content development has to undergo various stages during its development. During the process, initial SLA (Service Level Agreement) varies frequently and there exists several problems in content delivery. Scope Creep is the result of dynamic expectations from the clients without any limitation to the time. This affect the delivery of the product as the resources that were allocated to the development of the product were according to the initial SLA. This paper discusses about parameters that affect the estimation along with resource requirement computation. The paper further focuses on traditional effort estimation technique while analyzing the scope creep life cycle for e-Learning project. The Investigation is made by considering one of the leading middle level e-Learning organization. The case-study and the statistical analysis are carried out on the data which is collected from the company. From the analysis, amount of resource required to handle the dynamic data can be estimated.

scholarly journals Audit Operasional Pelayanan Pada PT. XYZ Dengan Menggunakan Kerangka Kerja ITIL Service Operation

2020 ◽  
Vol 6 (1) ◽  
pp. 51
Author(s):  
Julia Loisa ◽  
Kevin Christianto ◽  
Johanes F. Andry
Keyword(s):  
Information System ◽  
Service Management ◽  
Service Level Agreement ◽  
Service Level ◽  
Management Service ◽  
Literature Study ◽  
It Service ◽  
System Service ◽  
Service Operation ◽  
Operational Processes

This research was investigated to conduct an audit operational IT service management. Service has become a special key in forming a good organizational environment, there have been many studies that prove that a good level of service is directly proportional to loyalty, productivity, etc. from end users. In this study focused on the operational processes of the information system services provided by the company to all stakeholders of the information system users, because the operational side is the spearhead of the service process that is reached by stakeholders. The researcher conducted a literature study, interviews, observations, questionnaires, examined documents and analyzed the results of questionnaires and document checks to obtain factual data from the field which would later be used as risk analysis and recommendations for solutions to be provided by researchers. The researcher himself uses the ITIL v3 framework which focuses on the Service Operation which will be matched with the information system service commitments contained in the Service Level Agreement.

scholarly journals Implementing IT Risk in ITSM Tools using Octave Allegro Method Based at ITSMProject

2020 ◽  
Vol 8 (6) ◽  
pp. 111-117
Keyword(s):  
Information System ◽  
Service Management ◽  
Service Level Agreement ◽  
Service Level ◽  
It Service Management ◽  
It Service ◽  
Service Information ◽  
Management Project ◽  
Low Performance ◽  
The Impact

The purpose of this research is to identify and conduct risk analysis a Analyze risk on IT Service Management Information System Tools vulnerabilities at IT Service Management project, To obtain the level of vulnerability or weakness of information and to produce a strategic recommendation to overcome the vulnerability of information in the Project, OCTAVE Allegro was used as the method. Awareness of the importance of information system security and its assets to an organization and the impact that may arise from the destruction of the information system and its assets does not seem to be getting attention for most organizations and resulting low performance on Service Management while the evaluation and analysis process is more focused on the management of critical assets owned by the Project. Conclusion of the risk assessment is recommendations on the steps to be taken protect and manage the IT Service information system critical assets at IT Service management Project and also for a better service and achieve Service Level Agreement.

Distance Aware VM allocation process to minimize energy consumption in cloud computing

2019 ◽  
Vol 12 ◽  
Author(s):  
Gurpreet Singh ◽  
Manish Mahajan ◽  
Rajni Mohana
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Research Work ◽  
Service Level Agreement ◽  
Service Level ◽  
Physical Machine ◽  
Allocation Process

BACKGROUND: Cloud computing is considered as an on-demand service resource with the applications towards data center on pay per user basis. For allocating the resources appropriately for the satisfaction of user needs, an effective and reliable resource allocation method is required. Because of the enhanced user demand, the allocation of resources has now considered as a complex and challenging task when a physical machine is overloaded, Virtual Machines share its load by utilizing the physical machine resources. Previous studies lack in energy consumption and time management while keeping the Virtual Machine at the different server in turned on state. AIM AND OBJECTIVE: The main aim of this research work is to propose an effective resource allocation scheme for allocating the Virtual Machine from an ad hoc sub server with Virtual Machines. EXECUTION MODEL: The execution of the research has been carried out into two sections, initially, the location of Virtual Machines and Physical Machine with the server has been taken place and subsequently, the cross-validation of allocation is addressed. For the sorting of Virtual Machines, Modified Best Fit Decreasing algorithm is used and Multi-Machine Job Scheduling is used while the placement process of jobs to an appropriate host. Artificial Neural Network as a classifier, has allocated jobs to the hosts. Measures, viz. Service Level Agreement violation and energy consumption are considered and fruitful results have been obtained with a 37.7 of reduction in energy consumption and 15% improvement in Service Level Agreement violation.

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