scholarly journals IT obstacles using cloud computer facility that serves European users referring to access shared computing resources using cloud computing using shared computing resources

2016 ◽  
Vol 2 (1) ◽  
pp. 01
Author(s):  
Rajeev Saini ◽  
Bhubneshwar Sharma
Keyword(s):  
Cloud Computing ◽  
Communication Technology ◽  
Data Transmission ◽  
Easy Access ◽  
Computing Environment ◽  
New Era ◽  
Mobile Computing Environment ◽  
Different Types ◽  
Computer Facility ◽  
Shared Computing

cloud computing is the result of the evolution and adoption of existing technologies and paradigms. The goal of cloud computing is to allow users to take bene?t from all of these technologies, without the need for deep knowledge about or expertise with each one of them. The cloud aims to cut costs, and helps the users focus on their core business instead of being impeded by IT obstacles it is a new era of referring to access shared computing resources. On the other hand, wireless sensor networks have been seen as one of the most essential technologies for the 21st century where distributed spatially connected sensor node automatically forms a network for data transmission and receive among them is popularly known as Sensor Network. For security and easy access of data, cloud computing is widely used in distributed/mobile computing environment. This is possible due to miniaturization of communication technology. Many researchers have cited different types of technology in this context.

Resource Allocation Policies in Cloud Computing Environment

2017 ◽  
pp. 115-132 ◽  
Author(s):  
Suvendu Chandan Nayak ◽  
Sasmita Parida ◽  
Chitaranjan Tripathy ◽  
Prasant Kumar Pattnaik
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Resource Utilization ◽  
Service Level Agreement ◽  
Service Level ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
On Demand ◽  
Different Types ◽  
Cloud Datacenter

The basic concept of cloud computing is based on “Pay per Use”. The user can use the remote resources on demand for computing on payment basis. The on-demand resources of the user are provided according to a Service Level Agreement (SLA). In real time, the tasks are associated with a time constraint for which they are called deadline based tasks. The huge number of deadline based task coming to a cloud datacenter should be scheduled. The scheduling of this task with an efficient algorithm provides better resource utilization without violating SLA. In this chapter, we discussed the backfilling algorithm and its different types. Moreover, the backfilling algorithm was proposed for scheduling tasks in parallel. Whenever the application environment is changed the performance of the backfilling algorithm is changed. The chapter aims implementation of different types of backfilling algorithms. Finally, the reader can be able to get some idea about the different backfilling scheduling algorithms that are used for scheduling deadline based task in cloud computing environment at the end.

scholarly journals High Reliable and Efficient Three Layer Cloud Dispatching Architecture in the Heterogeneous Cloud Computing Environment

2018 ◽  
Author(s):  
Mao-Lun Chiang ◽  
Yung-Fa Huang ◽  
Hui-Ching Hsieh ◽  
Wen-Chung Tsai
Keyword(s):  
Cloud Computing ◽  
Scheduling Algorithm ◽  
Rapid Development ◽  
Task Completion ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Application Service ◽  
Different Types ◽  
Heterogeneous Cloud ◽  
Layer Cloud

Due to the rapid development and popularity of the Internet, cloud computing has become an indispensable application service. However, how to assign various tasks to the appropriate service nodes is an important issue. Based on the reason above, an efficient scheduling algorithm is necessary to enhance the performance of system. Therefore, a Three-Layer Cloud Dispatching (TLCD) architecture is proposed to enhance the performance of task scheduling. In first layer, the tasks need to be distinguished to different types by their characters. Subsequently, the Cluster Selection Algorithm is proposed to dispatch the task to appropriately service cluster in the secondly layer. Besides, a new scheduling algorithm is proposed to dispatch the task to a suitable server in a server cluster to improve the dispatching efficiency in the thirdly layer. Basically, the TLCD architecture can obtain better task completion time than previous works. Besides, our algorithm and can achieve load-balancing and reliability in cloud computing network.

scholarly journals Highly Reliable and Efficient Three-Layer Cloud Dispatching Architecture in the Heterogeneous Cloud Computing Environment †

2018 ◽  
Vol 8 (8) ◽  
pp. 1385 ◽  
Author(s):  
Mao-Lun Chiang ◽  
Yung-Fa Huang ◽  
Hui-Ching Hsieh ◽  
Wen-Chung Tsai
Keyword(s):  
Cloud Computing ◽  
Scheduling Algorithm ◽  
Rapid Development ◽  
Task Completion ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Application Service ◽  
Different Types ◽  
Heterogeneous Cloud ◽  
Layer Cloud

Due to the rapid development and popularity of the Internet, cloud computing has become an indispensable application service. However, how to assign various tasks to the appropriate service nodes is an important issue. Based on the reason above, an efficient scheduling algorithm is necessary to enhance the performance of the system. Therefore, a Three-Layer Cloud Dispatching (TLCD) architecture is proposed to enhance the performance of task scheduling. In the first layer, the tasks need to be distinguished into different types by their characters. Subsequently, the Cluster Selection Algorithm is proposed to dispatch the tasks to appropriate service clusters in the second layer. Besides this, a new scheduling algorithm is proposed in the third layer to dispatch the task to a suitable server in a server cluster to enhance the scheduling efficiency. Basically, the best task completion time can be obtained in our TLCD architecture. Furthermore, load balancing and reliability can be achieved under a cloud computing network environment.

Research on Key Technology of Web Network Based on Mobile Computing

2014 ◽  
Vol 989-994 ◽  
pp. 4612-4616
Author(s):  
Rong Deng
Keyword(s):  
Mobile Computing ◽  
Data Transmission ◽  
Network Performance ◽  
Mobile Network ◽  
Base Station ◽  
Context Aware ◽  
Computing Environment ◽  
Multimedia Services ◽  
Mobile Computing Environment ◽  
Programming Software

Mobile computing environment is relatively complex, and the structure dynamic degree is high, and the heterogeneous is changeable. Therefore, the development of mobile network based on web techniques must be adapted to the complex environment. In order to get a better network structure supporting mobile computing, based on the context aware consciousness theory, combined with the VC programming software, we design the algorithm of mobile computing network node, obtain the spatial statistical node model of mobile network, and use GPRS/3G base station to establish mobile network model based on the core of multimedia services. In order to verify the effectiveness and reliability of mobile computing algorithm, we calculate the network performance using VC programming software, obtain the network data transmission and delay results, and use mobile algorithm to develop multimedia licensing scheme. It provides a new algorithm for researching on mobile computing.

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

2015 ◽  
Vol 6 (4) ◽  
pp. 525
Author(s):  
Edy Kristianto
Keyword(s):  
Cloud Computing ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Virtual Machines ◽  
Computing Environment ◽  
Infrastructure As A Service ◽  
Cloud Computing Environment ◽  
Information And Communication ◽  
Private Cloud Computing ◽  
The Internet Of Things

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.

The Web Service Framework for SaaS in Cloud Computing Environment

2013 ◽  
Vol 300-301 ◽  
pp. 664-667
Author(s):  
Hwa Young Jeong ◽  
Hae Gill Choi
Keyword(s):  
Cloud Computing ◽  
Web Service ◽  
Communication Technology ◽  
Service Management ◽  
Information Communication ◽  
End User ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Saas Cloud ◽  
Service Framework

Software is also an integral part of other major ICT (information communication technology) equipment and devices, such as hardware, network, end-user communications equipment and carrier services. Recently software area has changing their using method from traditional ways to providing their process as a service. That is web service based SaaS in cloud computing. In this research, we consider the framework to process web service on SaaS, cloud computing environment. For this process, the framework has service search agent, service management mediator, UDDI server and web service inform.

scholarly journals Data mining techniques and algorithms in cloud environment a review

2018 ◽  
Vol 7 (1.9) ◽  
pp. 265 ◽  
Author(s):  
K Rajamani ◽  
D Sheela
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Data Storage ◽  
Resource Sharing ◽  
Cloud Environment ◽  
Computing Environment ◽  
Significant Information ◽  
Cloud Computing Environment ◽  
Data Mining Techniques ◽  
Different Types

Cloud Computing is resourceful in which computing resources are made available on- demand to the user as needed. Data mining is a process of discovering interesting patterns from a large amount of data. The difficulty is in collecting these data and carrying out compu-tations to get the significant information. Data mining techniques and applications can be effectively used in cloud computing environment. Data mining and the cloud computing are considered as major technologies. The data mining in cloud computing allows organizations to centralize the management of software and data storage. This paper provides a review of various data mining techniques and different types of algorithms in cloud computing which can be used for resource sharing.

scholarly journals Enabling Immediate Access to Earth Science Models through Cloud Computing: Application to the GEOS-Chem Model

2019 ◽  
Vol 100 (10) ◽  
pp. 1943-1960 ◽  
Author(s):  
Jiawei Zhuang ◽  
Daniel J. Jacob ◽  
Judith Flo Gaya ◽  
Robert M. Yantosca ◽  
Elizabeth W. Lundgren ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Atmospheric Chemistry ◽  
Earth Science ◽  
Easy Access ◽  
Computing Environment ◽  
Software Environment ◽  
Science Models ◽  
Amazon Web Services ◽  
Computing Platforms ◽  
General Guidance

AbstractCloud computing platforms can provide fast and easy access to complex Earth science models and large datasets. This article presents a mature capability for running the GEOS-Chem global 3D model of atmospheric chemistry on the Amazon Web Services (AWS) cloud. GEOS-Chem users at any experience level can get immediate access to the latest, standard version of the model in a preconfigured software environment with all needed meteorological and other input data, and they can analyze model output data easily within the cloud using Python tools in Jupyter notebooks. Users with no prior knowledge of cloud computing are provided with easy-to-follow, step-by-step instructions. They can learn how to complete a demo project in less than one hour, and from there they can configure and submit their own simulations. The cloud is particularly attractive for beginning and occasional users who otherwise may need to spend substantial time configuring a local computing environment. Heavy users with their own local clusters can also benefit from the cloud to access the latest standard model and datasets, share simulation configurations and results, benchmark local simulations, and respond to surges in computing demand. Software containers allow GEOS-Chem and its software environment to be moved smoothly between cloud platforms and local clusters, so that the exact same simulation can be reproduced everywhere. Because the software requirements and workflows tend to be similar across Earth science models, the work presented here provides general guidance for porting models to cloud computing platforms in a user-accessible way.

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