Virtualization and Cloud Computing

2013 ◽  
pp. 176-190 ◽  
Author(s):  
Chaka Chaka
Keyword(s):  
Cloud Computing ◽  
Real Life ◽  
Digital Technologies ◽  
Future Trends ◽  
Key Drivers ◽  
Pain Points

This chapter explores the interface between virtualization and cloud computing for global enterprise mobility. It also investigates the potential both virtualization and cloud computing hold for global enterprises. In this context, it argues that the virtualization of computing operations, applications, and services and the consumerization of digital technologies serve as one of the key drivers of cloud computing. Against this backdrop, the chapter first provides an overview of virtualization, consumerization, and cloud computing. Second, it showcases real life instances in which five enterprises leverage virtualization and cloud computing as part of their cloud business solutions. Third, it outlines some of the hollows and pain points characterizing cloud computing. Fourth and last, the chapter briefly presents possible future trends likely to typify cloud computing.

Virtualization and Cloud Computing

2015 ◽  
pp. 1687-1701
Author(s):  
Chaka Chaka
Keyword(s):  
Cloud Computing ◽  
Real Life ◽  
Digital Technologies ◽  
Future Trends ◽  
Key Drivers ◽  
Pain Points

This chapter explores the interface between virtualization and cloud computing for global enterprise mobility. It also investigates the potential both virtualization and cloud computing hold for global enterprises. In this context, it argues that the virtualization of computing operations, applications, and services and the consumerization of digital technologies serve as one of the key drivers of cloud computing. Against this backdrop, the chapter first provides an overview of virtualization, consumerization, and cloud computing. Second, it showcases real life instances in which five enterprises leverage virtualization and cloud computing as part of their cloud business solutions. Third, it outlines some of the hollows and pain points characterizing cloud computing. Fourth and last, the chapter briefly presents possible future trends likely to typify cloud computing.

Sozialinformatik

2020 ◽  
Author(s):  
Helmut Kreidenweis
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
Process Management ◽  
Practical Knowledge ◽  
Digital Technologies ◽  
It Security ◽  
Future Trends ◽  
It Use ◽  
Social Informatics

Digital technologies offer many opportunities for social organisations, but they also pose certain risks. The 3rd completely revised edition of the textbook ‘Sozialinformatik’ (Social Informatics) introduces fundamental and current topics in the field of computer science, explains the meaning and purpose of social informatics as a science and explains the dynamics of digital change and its impact on social organisations. It shows the development and status of IT use in this field and explains important future trends such as mobility, cloud computing, big data and artificial intelligence. In addition, it offers didactically prepared practical knowledge with over 115 illustrations for the development of digitisation strategies, IT and process management in social organisations, the use of digital technologies in social work, as well as privacy and IT security. A directory of links as well as exercises and solutions for each chapter complete the book.

scholarly journals Cloud Computing in Singapore: Key Drivers and Recommendations for a Smart Nation

2018 ◽  
Vol 6 (4) ◽  
pp. 39-47 ◽  
Author(s):  
Reuben Ng
Keyword(s):  
Public Policy ◽  
Cloud Computing ◽  
Big Data ◽  
Business Models ◽  
Fog Computing ◽  
Novel Technologies ◽  
Cloud Computing Adoption ◽  
Big Data Applications ◽  
Key Drivers ◽  
The Government

Cloud computing adoption enables big data applications in governance and policy. Singapore’s adoption of cloud computing is propelled by five key drivers: (1) public demand for and satisfaction with e-government services; (2) focus on whole-of-government policies and practices; (3) restructuring of technology agencies to integrate strategy and implementation; (4) building the Smart Nation Platform; (5) purpose-driven cloud applications especially in healthcare. This commentary also provides recommendations to propel big data applications in public policy and management: (a) technologically, embrace cloud analytics, and explore “fog computing”—an emerging technology that enables on-site data sense-making before transmission to the cloud; (b) promote regulatory sandboxes to experiment with policies that proactively manage novel technologies and business models that may radically change society; (c) on the collaboration front, establish unconventional partnerships to co-innovate on challenges like the skills-gap—an example is the unprecedented partnership led by the Lee Kuan Yew School of Public Policy with the government, private sector and unions.

Using Free Software for Elastic Web Hosting on a Private Cloud

2012 ◽  
pp. 733-748
Author(s):  
Roland Kübert ◽  
Gregory Katsaros
Keyword(s):  
Cloud Computing ◽  
Real Life ◽  
Free Software ◽  
Technical Solution ◽  
Use Case ◽  
Cloud Infrastructure ◽  
Private Cloud ◽  
Software Applications ◽  
Experimental Laboratory ◽  
And Storage

Even though public cloud providers already exist and offer computing and storage services, cloud computing is still a buzzword for scientists in various fields such as engineering, finance, social sciences, etc. These technologies are currently mature enough to leave the experimental laboratory in order to be used in real-life scenarios. To this end, the authors consider that the prime example use case of cloud computing is a web hosting service. This paper presents the architectural approach as well as the technical solution for applying elastic web hosting onto a private cloud infrastructure using only free software. Through several available software applications and tools, anyone can build their own private cloud on top of a local infrastructure and benefit from the dynamicity and scalability provided by the cloud approach.

Using Free Software for Elastic Web Hosting on a Private Cloud

2013 ◽  
pp. 97-111
Author(s):  
Roland Kübert ◽  
Gregory Katsaros
Keyword(s):  
Cloud Computing ◽  
Real Life ◽  
Free Software ◽  
Technical Solution ◽  
Use Case ◽  
Cloud Infrastructure ◽  
Private Cloud ◽  
Software Applications ◽  
Experimental Laboratory ◽  
And Storage

Even though public cloud providers already exist and offer computing and storage services, cloud computing is still a buzzword for scientists in various fields such as engineering, finance, social sciences, etc. These technologies are currently mature enough to leave the experimental laboratory in order to be used in real-life scenarios. To this end, the authors consider that the prime example use case of cloud computing is a web hosting service. This paper presents the architectural approach as well as the technical solution for applying elastic web hosting onto a private cloud infrastructure using only free software. Through several available software applications and tools, anyone can build their own private cloud on top of a local infrastructure and benefit from the dynamicity and scalability provided by the cloud approach.

Adaptive Threshold Based Scheduler for Batch of Independent Jobs for Cloud Computing System

2021 ◽  
pp. 2246-2266
Author(s):  
TAJ ALAM ◽  
PARITOSH DUBEY ◽  
ANKIT KUMAR
Keyword(s):  
Cloud Computing ◽  
Distributed Systems ◽  
High Performance ◽  
Large Scale ◽  
Real Life ◽  
Interval Estimation ◽  
Computing System ◽  
Adaptive Threshold ◽  
Batch Simulation ◽  
Heterogeneous Distributed Systems

Distributed systems are efficient means of realizing high-performance computing (HPC). They are used in meeting the demand of executing large-scale high-performance computational jobs. Scheduling the tasks on such computational resources is one of the prime concerns in the heterogeneous distributed systems. Scheduling jobs on distributed systems are NP-complete in nature. Scheduling requires either heuristic or metaheuristic approach for sub-optimal but acceptable solutions. An adaptive threshold-based scheduler is one such heuristic approach. This work proposes adaptive threshold-based scheduler for batch of independent jobs (ATSBIJ) with the objective of optimizing the makespan of the jobs submitted for execution on cloud computing systems. ATSBIJ exploits the features of interval estimation for calculating the threshold values for generation of efficient schedule of the batch. Simulation studies on CloudSim ensures that the ATSBIJ approach works effectively for real life scenario.

Security and Privacy Issues in Cloud Computing

2015 ◽  
pp. 1370-1414
Author(s):  
Jaydip Sen
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Service Quality ◽  
Security And Privacy ◽  
Future Trends ◽  
On Demand ◽  
Hype Cycle ◽  
Cost Efficiencies ◽  
Major Shift ◽  
Privacy Issues

Cloud computing transforms the way Information Technology (IT) is consumed and managed, promising improved cost efficiencies, accelerated innovation, faster time-to-market, and the ability to scale applications on demand (Leighton, 2009). According to Gartner, while the hype grew exponentially during 2008 and continued since, it is clear that there is a major shift towards the cloud computing model and that the benefits may be substantial (Gartner Hype-Cycle, 2012). However, as the shape of cloud computing is emerging and developing rapidly both conceptually and in reality, the legal/contractual, economic, service quality, interoperability, security, and privacy issues still pose significant challenges. In this chapter, the authors describe various service and deployment models of cloud computing and identify major challenges. In particular, they discuss three critical challenges: regulatory, security, and privacy issues in cloud computing. Some solutions to mitigate these challenges are also proposed along with a brief presentation on the future trends in cloud computing deployment.

scholarly journals Temporal digital control: Theorizing the use of digital technologies to provide a temporal autonomous space

2019 ◽  
Vol 29 (3) ◽  
pp. 794-812
Author(s):  
Nicola F Johnson
Keyword(s):  
Digital Control ◽  
Screen Time ◽  
Real Life ◽  
Digital Technologies ◽  
Well Being ◽  
Temporal Control ◽  
Digital Device ◽  
Digital Devices ◽  
Life Itself ◽  
Smartphone Use

Screen time once referred to television. Nowadays, it includes various screen sizes that are internet-enabled devices, and the pervasive smartphone. Regardless of what kind of screen is used, screen time comprises much of life itself. Being online and offline is now fairly blurred because of the ubiquitousness of technologies, Wi-Fi and screens. This paper puts forth the notion of ‘temporal digital control’ to explain the choice of when and why smartphones and other portable digital devices are used in today’s cultural milieu, and it theorizes the ‘why’ of contemporary smartphone use is so prominent suggesting it enables temporal digital control in an autonomous space. Coupled with the engrossment of such use, the article elaborates how gazing at a digital device comprises a temporal connection, alongside a disconnection from real life, and a possible inauthenticity that could affect well-being. Recently published literature on ‘waiting’ is included to help theorize why actors choose to use digital technologies while waiting. Being preoccupied, or busy, or doing something with one’s smartphone while waiting creates a sense of alleged status, importance or connection in the form of digital temporal control. An array of vignettes is provided to demonstrate agentic disengagement with the present in a preference for moving into a temporal autonomous space of ‘perceived’ digital control. When gazing at and using a digital device, users are arguably disengaging with the temporal present, disconnecting with others who may be beside them, in preference to the creation of temporal (and digital) autonomous spaces. Regardless of what the user is doing on their smartphone or device, the use of technologies can provide a temporal autonomous space of digital control.

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