scholarly journals The Needs of Virtual Machines Implementation in Private Cloud Computing Environment

Author(s):  
Edy Kristianto

The Internet of Things (IOT) becomes the purpose of the development of information and communication technology. Cloud computing has a very important role in supporting the IOT, because cloud computing allows to provide services in the form of infrastructure (IaaS), platform (PaaS), and Software (SaaS) for its users. One of the fundamental services is infrastructure as a service (IaaS). This study analyzed the requirement that there must be based on a framework of NIST to realize infrastructure as a service in the form of a virtual machine to be built in a cloud computing environment.

2014 ◽  
Vol 1008-1009 ◽  
pp. 1513-1516
Author(s):  
Hai Na Song ◽  
Xiao Qing Zhang ◽  
Zhong Tang He

Cloud computing environment is regarded as a kind of multi-tenant computing mode. With virtulization as a support technology, cloud computing realizes the integration of multiple workloads in one server through the package and seperation of virtual machines. Aiming at the contradiction between the heterogeneous applications and uniform shared resource pool, using the idea of bin packing, the multidimensional resource scheduling problem is analyzed in this paper. We carry out some example analysis in one-dimensional resource scheduling, two-dimensional resource schduling and three-dimensional resource scheduling. The results shows that the resource utilization of cloud data centers will be improved greatly when the resource sheduling is conducted after reorganizing rationally the heterogeneous demands.


2020 ◽  
Vol 7 (2) ◽  
pp. 58-63
Author(s):  
Winarno Winarno ◽  
Wella Wella ◽  
Rudy Pramono

The society of Indonesia faces problem of cultural crisis, especially the younger generation who prefer foreign culture rather than the local culture. This research aimed to find a way to conserve local culture by combining local culture with the development of information and communication technology. The method used in this study is content crowdsourcing because it requires the help of all society member to fill the content and data that will be managed later in large volumes. Therefore, it will use cloud computing, Software as a Service (SaaS). This research has successfully developed a portal called ibudaya that can accommodate cultural values and local wisdom in the form of multimedia content, such as in the format of video, pictures, pdf, Word, and Power Point. This research has successfully developed a portal that can accommodate cultural values and local wisdom in the form of multimedia content. The cultural portal can be accessed through the link address http://iBudaya.applikasi.online/. This portal will be further refined in terms of cultural content procurement, where the content is in the form of videos, pictures and folklore texts.


Author(s):  
N. Raghavendra Rao

Multidisciplinary experts are required to develop a model for resource management in a country. Various concepts in information and communication technology are required to be applied in designing and developing a model for the management of natural resources. The concepts such as cloud computing along with social media play an important role. Case illustrations are discussed in this chapter stressing the role of cloud computing along with the concepts of collaborative technology in developing models for the benefit of citizens in a country.


2020 ◽  
Vol 17 (6) ◽  
pp. 2430-2434
Author(s):  
R. S. Rajput ◽  
Dinesh Goyal ◽  
Rashid Hussain ◽  
Pratham Singh

The cloud computing environment is accomplishing cloud workload by distributing between several nodes or shift to the higher resource so that no computing resource will be overloaded. However, several techniques are used for the management of computing workload in the cloud environment, but still, it is an exciting domain of investigation and research. Control of the workload and scaling of cloud resources are some essential aspects of the cloud computing environment. A well-organized load balancing plan ensures adequate resource utilization. The auto-scaling is a technique to include or terminate additional computing resources based on the scaling policies without involving humans efforts. In the present paper, we developed a method for optimal use of cloud resources by the implementation of a modified auto-scaling feature. We also incorporated an auto-scaling controller for the optimal use of cloud resources.


Author(s):  
S. M. Wu ◽  
Y. C. Wu

Abstract. Cloud computing is an important part of the development of smart cities and also the focus of the information and communication technology (ICT) industry. From the concept of cloud computing, people and objects in cities are organized based on their application needs and computed in real time. It is a comprehensive utilization of the new generation of information and communication technology. This paper first introduces the concept of cloud computing, smart city construction in Taiwan, and the information security management standard of cloud computing, then describes the cloud computing security framework from three areas,and summarizes the implementation status of cloud computing in Taiwan, government policies, and measures, reaching the conclusion that information transmission must be fast and reliable and ensure personal privacy and security. Any type of information security problem will bring catastrophic consequences. Therefore, cloud computing also brings severe challenges to the traditional information security system.


2020 ◽  
Vol 20 (1) ◽  
pp. 36-52
Author(s):  
C. Vijaya ◽  
P. Srinivasan

AbstractThe goal of data centers in the cloud computing environment is to provision the workloads and the computing resources as demanded by the users without the intervention of the providers. To achieve this, virtualization based server consolidation acts as a vital part in virtual machine placement process. Consolidating the Virtual Machines (VMs) on the Physical Machines (PMs) cuts down the unused physical servers, decreasing the energy consumption, while keeping the constraints for CPU and memory utilization. This technique also reduces the resource wastage and optimizes the available resources efficiently. Ant Colony Optimization (ACO) that is a well-known multi objective heuristic algorithm and Grey Wolf Algorithm (GWO) has been used to consolidate the servers used in the virtual machine placement problem. The proposed Fuzzy HAGA algorithm outperforms the other algorithms MMAS, ACS, FFD and Fuzzy ACS compared against it as the number of processors and memory utilization are lesser than these algorithms.


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