scholarly journals Multi-Layer Information Security Framework for Software – as –a- service Platform- as – a –Service and Infrastructureas-a- Service of Cloud Computing Model

2020 ◽  
Vol 8 (10) ◽  
pp. 7485-7490
Keyword(s):  
Cloud Computing ◽  
Information Security ◽  
Software As A Service ◽  
Security Framework ◽  
Service Platform ◽  
Platform As A Service ◽  
Computing Model

scholarly journals Analysis of Serverless Computing Techniques in Cloud Software Framework

2021 ◽  
Vol 3 (3) ◽  
pp. 221-234
Author(s):  
Hari Krishnan Andi
Keyword(s):  
Cloud Computing ◽  
Cost Effective ◽  
Cloud Service ◽  
Software As A Service ◽  
Software Framework ◽  
Cloud Provider ◽  
Cloud Service Provider ◽  
Platform As A Service ◽  
Computing Model ◽  
Aws Lambda

This paper describes briefly about the concept of serverless cloud computing model, its usage in IT industries and its benefits. In the traditional model the developer is responsible for resource allocation, managing servers and owning of servers, and it included three models based upon the service such as IaaS, PaaS and SaaS. In IaaS (Infrastructure as a Service) the content storage and accessing of network is carried out by the cloud provider, SaaS (Software as a Service) here different software’s are provided to the user as a service, PaaS (Platform as a Service), the developer gets access to certain services for carrying out organizing process and run it accordingly. In serverless cloud computing, the developer need not worry about owning, management, and maintenance of servers as it is carried out by the cloud service provider. Hence by using this model, the time that is needed for a system to reach the market is very much reduced and is cost effective. Serverless architecture includes three categories namely, AWS Lambda, Azure, and Google cloud. It also includes certain challenges such as it cannot be used in the case where a process takes longer time to run and it is discussed below in this paper.

Fault Tolerant Cloud Systems

2019 ◽  
pp. 171-190
Author(s):  
Sathish Kumar ◽  
Balamurugan B
Keyword(s):  
Cloud Computing ◽  
Fault Tolerant ◽  
Software As A Service ◽  
Arrival Process ◽  
Cloud Provider ◽  
Infrastructure As A Service ◽  
Batch Mode ◽  
Web Based ◽  
Platform As A Service ◽  
Cloud Systems

Cloud computing refers to a model for accessing computing resource like networks, servers, storage, applications, and services remotely. Cloud computing offers these resources as a service, namely infrastructure-as-a-service, platform-as-a-service, and software-as-a-service. To use these services, two roles involved: the cloud provider offers the service and the cloud customer consumes the service. These resources are efficiently shared and utilized by customers and it is called workload. The requirement of workload depends on customer demands that vary from higher to lower. Based on the customer demand, cloud provider makes the resource available efficiently. In the context of cloud, the workload is based on web-based service or jobs processed in batch mode. The arrival process of jobs in the cloud is not often deterministic. The irregular increase or decrease in workload has a vital impact on resource provision. Monitoring the resources helps in measuring the performance of the cloud so that the resource can be provisioned to customers efficiently.

Mobile Cloud Gaming and Today's World

2018 ◽  
pp. 282-295
Author(s):  
Hallah Shahid Butt ◽  
Sadaf Jalil ◽  
Sajid Umair ◽  
Safdar Abbas Khan
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Research Work ◽  
Cloud Services ◽  
Software As A Service ◽  
Mobile Cloud ◽  
Infrastructure As A Service ◽  
Platform As A Service ◽  
Research Areas ◽  
Generic Architecture

Mobile cloud computing is the emerging field. Along-with different services being provided by the cloud like Platform as a Service, Infrastructure as a Service, Software as a Service; Game as a Service is new terminology for the cloud services. In this paper, we generally discussed the concept of mobile cloud gaming, the companies that provide the services as GaaS, the generic architecture, and the research work that has been done in this field. Furthermore, we highlighted the research areas in this field.

Improving Cost for Data Migration in Cloud Computing Using Genetic Algorithm

2020 ◽  
Vol 8 (3) ◽  
pp. 69-81
Author(s):  
Nitin Chawla ◽  
Deepak Kumar ◽  
Dinesh Kumar Sharma
Keyword(s):  
Genetic Algorithm ◽  
Cloud Computing ◽  
Data Center ◽  
Data Centers ◽  
Software As A Service ◽  
Data Migration ◽  
Platform As A Service ◽  
Challenging Tasks ◽  
Enterprise Applications ◽  
Client Data

Cloud computing is gradually increasing its popularity in enterprise-wide organizations. Information technology organizations e.g., IBM, Microsoft, and Amazon have already shifted towards Cloud computing. Cloud-based offerings such as Software as a Service, Platform as a Service and Infrastructure as a Service (IAAS) are the most famous offerings. Most of the existing enterprise applications are deployed using an on-premise model. Organizations are looking for Cloud based offerings to deploy or upgrade their existing applications. SAP, Microsoft Dynamics, and Oracle are the most famous ERP or CRM application OEMs. These enterprise applications generate lots of data are hosted in an organization or on client data centers. Moving data from one data center to the Cloud is always a challenging tasks which cost a lot and takes much effort. This study proposes an efficient approach to optimize cost for data migration in cloud computing. This study also proposes the approach to optimize cost for data collection from multiple locations which can be processed centrally and then migrate to Cloud Computing.

A Cloud Model to Implement SaaS

2011 ◽  
Vol 341-342 ◽  
pp. 499-503 ◽  
Author(s):  
V. Sreenivas ◽  
S. Sriharsha ◽  
C. Narasimham
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Cloud Model ◽  
Software As A Service ◽  
Client Server ◽  
Computing Model ◽  
Processing Power ◽  
Desktop Computing

Cloud computing is a paradigm where tasks are assigned to a combination of connections, software and services accessed over a network. Clouds provide processing power, which is made possible through distributed computing. Cloud computing can be seen as a traditional desktop computing model, where the resources of a single desktop or computer used to complete tasks, and an expansion of the client/server model. The paper describes a model for cloud computing to implement software as a service (SaaS).

The Service Platform for Barrier-Free Special Education Based on Cloud Computing

2013 ◽  
Vol 397-400 ◽  
pp. 2499-2502
Author(s):  
Li Ping Yang ◽  
Wei Wang ◽  
Chun Lian Li
Keyword(s):  
Special Education ◽  
Cloud Computing ◽  
Computing Technology ◽  
Service Platform ◽  
Computing Model ◽  
Speech Sdk ◽  
Network Platform ◽  
Cloud Network ◽  
And Storage ◽  
Barrier Free

Cloud computing is a computing model, computing and storage tasks be assigned to the cloud that be composed of a large number of computers. The cloud computing technology are introduced firstly, then the cloud network platform, the service platform for barrier-free special education and functions are detailed described, lastly the key technology is given, such as TTS technology, Microsoft Speech SDK.

scholarly journals Performance Evaluation of SUMEGHA Cloud Computing Environment: Methodologies & Tool

2019 ◽  
Vol 8 (12) ◽  
pp. 875-880
Keyword(s):  
Cloud Computing ◽  
Performance Evaluation ◽  
Software As A Service ◽  
Automated Testing ◽  
Cloud Environment ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Platform As A Service ◽  
Testing Tools ◽  
Manual Testing

Cloud ecosystem basically offers Platform as a Service (PaaS), Infrastructure as a Service (IaaS) and Software as a Service (SaaS). This paper describes the testing process employed for testing the C-DAC cloud SuMegha. Though new tools for the testing cloud are emerging into the market, there are aspects which are suited for manual testing and some which can be speeded up using automated testing tools. This paper brings out the techniques best suited to test different features of Cloud computing environment. It offers a comparison of several tools which enhance the testing process at each level. The authors also try to bring out (recommend) broad guidelines to follow while setting up a cloud environment to reduce the number of bugs in the system

scholarly journals Testing Methodologies for Cloud Performance

2019 ◽  
Vol 8 (12) ◽  
pp. 2586-2592
Keyword(s):  
Cloud Computing ◽  
Performance Testing ◽  
Automatic Testing ◽  
Software As A Service ◽  
Cloud Environment ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Platform As A Service ◽  
Testing Tools ◽  
Manual Testing

Cloud environment basically offers Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). Here we describe the testing process employed for performance testing. Though new tools for testing cloud are emerging into the market, there are aspects which are suited for manual testing and some which can be speeded up using automatic testing tools. This paper brings out the techniques best suited to test different features of Cloud computing environment. The authors also try to bring out (recommend) broad guidelines to follow while setting up a cloud environment to reduce the number of bugs in the system.

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