Cloud Computing: Architecture and Operating System

Musse, Hodan M.; Alamro, Lama A.

doi:10.1109/gscit.2016.7

Cited by 6 publications

(9 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Unique operating systems that can handle cloud requirements also need to be developed [25,26]. Cloud computing will recently be described as the latest, commonly scalable method of providing different applications, services, and data storage [27]. Unfortunately, cloud computing does not have many systems with secure platforms with all these benefits.…”

Section: Cloud Computing Influence On Operating Systemsmentioning

confidence: 99%

A Comprehensive Study of Kernel (Issues and Concepts) in Different Operating Systems

Malallah

Zeebaree

Zebari

et al. 2021

AJRCoS

View full text Add to dashboard Cite

Various operating systems (OS) with numerous functions and features have appeared over time. As a result, they know how each OS has been implemented guides users' decisions on configuring the OS on their machines. Consequently, a comparative study of different operating systems is needed to provide specifics on the same and variance in novel types of OS to address their flaws. This paper's center of attention is the visual operating system based on the OS features and their limitations and strengths by contrasting iOS, Android, Mac, Windows, and Linux operating systems. Linux, Android, and Windows 10 are more stable, more compatible, and more reliable operating systems. Linux, Android, and Windows are popular enough to become user-friendly, unlike other OSs, and make more application programs. The firewalls in Mac OS X and Windows 10 are built-in. The most popular platforms are Android and Windows, specifically the novelist versions. It is because they are low-cost, dependable, compatible, safe, and easy to use. Furthermore, modern developments in issues resulting from the advent of emerging technology and the growth of the cell phone introduced many features such as high-speed processors, massive memory, multitasking, high-resolution displays, functional telecommunication hardware, and so on.

show abstract

Section: Cloud Computing Influence On Operating Systemsmentioning

confidence: 99%

A Comprehensive Study of Kernel (Issues and Concepts) in Different Operating Systems

Malallah

Zeebaree

Zebari

et al. 2021

AJRCoS

View full text Add to dashboard Cite

show abstract

“…= MAX , = 1 (8) while ≤ | V | do (9) if V , can hold then (10) Calculate the total cost TC by (10) (11) if TC < then (12) = TC (13) else = + 1 (14) end if (15) end if (16) end while (17) U p d a t e with cost C (18) end if (19) PM 2 separately, and the data transferring between these two VMs only employs the switch 4 .…”

Section: Inputmentioning

confidence: 99%

“…fl a g = 0 (10) else = + 1 (11) end if (12) end while (13) end if (14) end for (15) Classify the VMs in V as several special VMs (16) end for (17) Return SV Algorithm 1: Special VM identification for data access.…”

Section: Input: the Datasetmentioning

confidence: 99%

“…Calculate the distance between V to V , (9) end if (10) end if (11) end for (12) end for (13) SorttheVMsin V in the increasing order of distance (14) end for (15) Return CV Algorithm 2: VM selection for data placement.…”

Section: Inputmentioning

confidence: 99%

“…How to protect data and improve the security level of private data has become a hot topic of cloud computing [10]. Generally, it is an effective way to place these datasets in the private cloud; thus hybrid cloud for big data storage should be taken into consideration for privacy-aware applications [11,12]. The data access time for V (1 ≤ ≤ ) extracting the The tasks need to be performed, = { 1 , 2 , .…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Data Placement for Privacy-Aware Applications over Big Data in Hybrid Clouds

Zhao

Ruan

et al. 2017

Security and Communication Networks

View full text Add to dashboard Cite

Nowadays, a large number of groups choose to deploy their applications to cloud platforms, especially for the big data era. Currently, the hybrid cloud is one of the most popular computing paradigms for holding the privacy-aware applications driven by the requirements of privacy protection and cost saving. However, it is still a challenge to realize data placement considering both the energy consumption in private cloud and the cost for renting the public cloud services. In view of this challenge, a cost and energy aware data placement method, named CEDP, for privacy-aware applications over big data in hybrid cloud is proposed. Technically, formalized analysis of cost, access time, and energy consumption is conducted in the hybrid cloud environment. Then a corresponding data placement method is designed to accomplish the cost saving for renting the public cloud services and energy savings for task execution within the private cloud platforms. Experimental evaluations validate the efficiency and effectiveness of our proposed method.

show abstract

Cloud-based ERP Successful Implementation: A Critical Soft Factors Analysis for Egyptian Industrial Organizations

محسب

2024

المجلة العلمية للدراسات والبحوث المالية والتجارية

View full text Add to dashboard Cite

Cloud Computing: Architecture and Operating System

Cited by 6 publications

References 2 publications

A Comprehensive Study of Kernel (Issues and Concepts) in Different Operating Systems

A Comprehensive Study of Kernel (Issues and Concepts) in Different Operating Systems

Data Placement for Privacy-Aware Applications over Big Data in Hybrid Clouds

Cloud-based ERP Successful Implementation: A Critical Soft Factors Analysis for Egyptian Industrial Organizations

Contact Info

Product

Resources

About