scholarly journals A Self-Adaptive Auto-Scaling System in Infrastructure-as-a-Service Layer of Cloud Computing

2016 ◽  
Author(s):  
Seyedali Yadavarnikravesh
Keyword(s):  
Cloud Computing ◽  
Infrastructure As A Service ◽  
Auto Scaling ◽  
Self Adaptive

ANALISIS EFEKTIFITAS FRAMEWOK ERP CLOUD COMPUTING UNTUK USAHA KECIL MENENGAH

2018 ◽  
Vol 3 (1) ◽  
pp. 19 ◽  
Author(s):  
Matheus Alvian Wikanargo ◽  
Novian Adi Prasetyo ◽  
Angelina Pramana Thenata
Keyword(s):  
Cloud Computing ◽  
Human Resource ◽  
Software As A Service ◽  
Infrastructure As A Service ◽  
Computing Framework

AbstrakTeknologi cloud computing pada era sekarang berkembang pesat. Penerapan teknologi cloud computing sudah merambah ke berbagai industri, mulai dari perusahaan besar hingga perusahaan kecil dan menengah. Perambahan cloud computing di perindustrian berupa implementasi ke dalam sistem ERP. Namun, penetrasi teknologi ini dalam lingkup perusahaan kecil dan menengah (UKM) masih belum sekuat perusahaan besar. Penerapan ERP berbasis cloud computing yang masih tergolong baru tentu memiliki keuntungan dan penghambat yang mempengaruhi kinerja perusahaan. Hal tersebut menjadi salah satu pertimbangan UKM masih enggan menggunakan teknologi ini. Penelitian ini akan menganalisis framework yang paling sesuai untuk UKM dalam menerapkan sistem ERP berbasis cloud computing. Framework yang dianalisa yaitu Software as a Service (SaaS), Infrastructure as a Service (IaaS), dan Platform as as Service (PaaS). Ketiga framework ini akan dibandingkan menggunakan metode studi literatur. Tolak ukur yang menjadi acuan untuk perbandingan adalah Compatibility, Cost, Flexibility, Human Resource, Implementation, Maintenance, Security, dan Usability. Faktor-faktor tersebut akan diukur keuntungan dan penghambatnya jika diterapkan dalam SME. Hasil dari penilitian ini adalah Framework SaaS yang paling cocok untuk diterapkan pada perusahaan kecil dan menengah. Kata kunci— Cloud Computing, UKM, SaaS, IaaS, PaaS 

scholarly journals LAYANAN CLOUD COMPUTING BERBASIS INFRASTRUCTURE AS A SERVICE MENGGUNAKAN ANDROID

Compiler ◽  
2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Hero Wintolo ◽  
Lalu Septian Dwi Paradita
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Wireless Lan ◽  
Information Technologies ◽  
Computer Software ◽  
Computer Hardware ◽  
Local Network ◽  
Infrastructure As A Service ◽  
Platform As A Service ◽  
Service Application

Cloud computing, one form of information technologies are widely used in the field of computer networks or the Internet. Cloud computing consists of computer hardware, computer networking devices, and computer software, the cloud computing there are three services provided include (SaaS) Software as a Service (PaaS) Platform as a Service, and (IaaS) Infrastructure as a Service. Application cloud computing services in the wake of this system is a service-based data storage infrastructure as a service by using android smartphone as a storage medium, which utilizes FTP Server which is already available on the smartphone. This certainly supports the easy storage of data that utilize various types of internal and external storage on smartphones that serves as a storage server. In addition to the functions of storage available, this service can accommodate streaming function .mp3 file type. Implementation result of the system can be implemented on a local network using a wireless LAN. In addition, the results of user testing using Likert method shows the application can run and function properly

Modeling And Analyzing Cloud Auto-Scaling Mechanism Using Stochastic Well-Formed Coloured Nets

2021 ◽  
Author(s):  
Mohamed M. Ould Deye ◽  
Mamadou Thiongane ◽  
Mbaye Sene
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Service Level ◽  
The State ◽  
Service Level Agreements ◽  
Auto Scaling

Auto-scaling is one of the most important features in Cloud computing. This feature promises cloud computing customers the ability to best adapt the capacity of their systems to the load they are facing while maintaining the Quality of Service (QoS). This adaptation will be done automatically by increasing or decreasing the amount of resources being leveraged against the workload’s resource demands. There are two types and several techniques of auto-scaling proposed in the literature. However, regardless the type or technique of auto-scaling used, over-provisioning or under-provisioning problem is often observed. In this paper, we model the auto-scaling mechanism with the Stochastic Well-formed coloured Nets (SWN). The simulation of the SWN model allows us to find the state of the system (the number of requests to be dispatched, the idle times of the started resources) from which the auto-scaling mechanism must be operated in order to minimize the amount of used resources without violating the service-level agreements (SLA).

Infrastructure as a Service

2015 ◽  
pp. 146-169
Author(s):  
Shamim Hossain
Keyword(s):  
Cloud Computing ◽  
Infrastructure As A Service ◽  
Computing Architecture ◽  
Storage Devices ◽  
Highly Efficient ◽  
Single Solution ◽  
And Storage

Infrastructure as a Service is the pillar on which a cloud computing architecture is built. With the advancement of technologies in communications, computing, and storage devices, IaaS has emerged as a highly efficient platform to construct SaaS and PaaS layer on top of it. IaaS solutions vary from an organization to another. One single solution does not fit all. This chapter looks at the general constituents of IaaS.

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.

Industrial Patterns on Cloud

2017 ◽  
pp. 73-103
Author(s):  
Sreekrishnan Venkateswaran
Keyword(s):  
Cloud Computing ◽  
Case Studies ◽  
Disaster Recovery ◽  
Use Cases ◽  
Sensor Data ◽  
Software Defined Network ◽  
Actual Case ◽  
Network Functions ◽  
Auto Scaling ◽  
Convergence Of Technologies

Cloud Computing is rapidly gaining traction today as the preferred platform for deploying both development and production workloads. Every industry has started adopting hybrid hosting models to leverage benefits that accrue from a convergence of technologies; Cloud is being used as a flexible springboard to mount a defense against disruptive digital trends. The use cases and associated gains are industry specific, ranging from leveraging auto-scaling to assuage seasonal spikes in Retail, and creating software-defined network functions in Telecom, to aggregating and analyzing sensor data in Automotive, and deploying multi-site disaster recovery in Government. In this chapter, we will embark on an expedition spanning ten industries, searching for patterns where Cloud enables advantageous solutions to business-specific categories of use cases. The observations are based on actual case studies chosen from hundreds of real Cloud deals across industries.

Auto-Scaling in the Cloud Environment

2020 ◽  
pp. 84-98
Author(s):  
Ravindra Kumar Singh Rajput ◽  
Dinesh Goyal
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
The Internet ◽  
Data Traffic ◽  
Cloud Environment ◽  
Software Application ◽  
Workload Balancing ◽  
Specific Configuration ◽  
Using Data ◽  
Auto Scaling

Every software application has its own minimum set of requirements like CPU, storage, memory, networking, and power. These have to be integrated into a specific configuration to allow the smooth functioning of the software application. When data traffic becomes higher than expected, higher resources are required. There may not be enough time to provision new resources manually; in such cases, an auto-scaling system is required for managing these situations. Cloud computing means using data, programs, and other resources pooled in the data center and accessed through the internet instead of the user's computer. In the chapter, the authors discussed some aspects related to cloud computing like cloud workload, load balancing, load balancing algorithms, scaling techniques, and auto-scaling to fulfill cloud workload balancing requirements.

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