A Structured Approach to Virtualization in Order to Support a Social Media Oriented Cloud Computing

2011 ◽  
Author(s):  
Micaela Spigarolo ◽  
Antonella Guidazzoli
Keyword(s):  
Social Media ◽  
Cloud Computing ◽  
Structured Approach

Cloud Computing Technologies for Open Connected Government

2016 ◽  
pp. 1-14 ◽  
Author(s):  
Zaigham Mahmood
Keyword(s):  
Social Media ◽  
Cloud Computing ◽  
Web 2.0 ◽  
Real Time ◽  
Distributed Applications ◽  
Mobile Technologies ◽  
Computing Technologies ◽  
Cloud Technologies ◽  
Cloud Resources

Cloud Computing is an attractive paradigm for organisations that have a requirement to process large scalable distributed applications. It allows for self-provisioning of cloud resources to develop and host applications as well as acquire storage and networking resources. Connected Government (c-government) is an area where cloud technologies can be effectively used to achieve the benefits that the cloud paradigm promises. Social Media, Web 2.0 and mobile technologies can all help to further enhance the connected government capabilities. Using such technologies, governments and citizens can engage in real time in the electronic participation of a government's functioning. In this chapter, we introduce the cloud paradigm and then discussing the requirements of c-government, we outline how cloud technologies can help to achieve an open and transparent c-government. The aim is to provide the basics of relationship between c-government and cloud computing to set the scene for other contributions in this volume.

Cloud Computing for E-Governance

2019 ◽  
pp. 113-144
Author(s):  
N. Raghavendra Rao
Keyword(s):  
Social Media ◽  
Cloud Computing ◽  
Resource Management ◽  
Natural Resources ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Collaborative Technology ◽  
Information And Communication

Multidisciplinary experts are required to develop a model for resource management in a country. Various concepts in information and communication technology are required to be applied in designing and developing a model for the management of natural resources. The concepts such as cloud computing along with social media play an important role. Case illustrations are discussed in this chapter stressing the role of cloud computing along with the concepts of collaborative technology in developing models for the benefit of citizens in a country.

Cloud Computing-Based Socially Important Locations Discovery on Social Media Big Datasets

2020 ◽  
Vol 19 (02) ◽  
pp. 469-497 ◽  
Author(s):  
Ahmet Sakir Dokuz ◽  
Mete Celik
Keyword(s):  
Social Media ◽  
Cloud Computing ◽  
Local Governments ◽  
Programming Model ◽  
Computing Systems ◽  
Apache Hadoop ◽  
Cloud Computing Environment ◽  
Emergency Situations ◽  
Hadoop Mapreduce ◽  
Dataset Size

Socially important locations are places which are frequently visited by social media users in their social media lifetime. Discovering socially important locations provides valuable information, such as which locations are frequently visited by a social media user, which locations are common for a social media user group, and which locations are socially important for a group of urban area residents. However, discovering socially important locations is challenging due to huge volume, velocity, and variety of social media datasets, inefficiency of current interest measures and algorithms on social media big datasets, and the need of massive spatial and temporal calculations for spatial social media analyses. In contrast, cloud computing provides infrastructure and platforms to scale compute-intensive jobs. In the literature, limited number of studies related to socially important locations discovery takes into account cloud computing systems to scale increasing dataset size and to handle massive calculations. This study proposes a cloud-based socially important locations discovery algorithm of Cloud SS-ILM to handle volume and variety of social media big datasets. In particular, in this study, we used Apache Hadoop framework and Hadoop MapReduce programming model to scale dataset size and handle massive spatial and temporal calculations. The performance evaluation of the proposed algorithm is conducted on a cloud computing environment using Turkey Twitter social media big dataset. The experimental results show that using cloud computing systems for socially important locations discovery provide much faster discovery of results than classical algorithms. Moreover, the results show that it is necessary to use cloud computing systems for analyzing social media big datasets that could not be handled with traditional stand-alone computer systems. The proposed Cloud SS-ILM algorithm could be applied on many application areas, such as targeted advertisement of businesses, social media utilization of cities for city planners and local governments, and handling emergency situations.

scholarly journals Technology Transformation: Promoting Sustainable Indonesia MSMEs and Cooperative by Digitalization

JEJAK ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 364-383
Author(s):  
Tri Andjarwati ◽  
Vieqi Rakhma Wulan
Keyword(s):  
Social Media ◽  
Cloud Computing ◽  
Human Resource ◽  
Sharing Economy ◽  
Integrative Review ◽  
Digital Platforms ◽  
Lack Of Information ◽  
The Government ◽  
Technology Transformation ◽  
Media Cloud

This research was conducted to find out what steps the government has taken in striving for society to be 'digital literate', what obstacles are faced and what digital forms have been implemented by MSME players and cooperatives that have gone digital. The method used is an integrative review. The results of this study found that the government has tried various ways to make SMEs and cooperatives more “digitally literate”, from infrastructure, training to collaborating with related institutions and companies that have gone online first in terms of systems of operational (transaction), marketing and also payment. Obstacles to infrastructure and available facilities as well as the lack of information and human resource skills in utilizing digital are challenges faced by the government, SMEs and cooperatives. Therefore, better coordination from up to bottom is needed so that understanding and utilization of digital can be distributed evenly. For MSMEs and cooperatives that have “go digital”, found that they are still at the basic and intermediate levels, while the platforms used are still in the sharing economy, e-commerce, social media, cloud computing and other digital platforms related to applications to simplify transactions and operations.

scholarly journals Cost Efficient Media Cloud Storage and Systematic Risks Involved in the Cloud Computing

2019 ◽  
Vol 8 (9) ◽  
pp. 2466-2469
Keyword(s):  
Social Media ◽  
Cloud Computing ◽  
Cloud Storage ◽  
Fast Rate ◽  
Main Aspect ◽  
Security Issues ◽  
High Security ◽  
Systematic Risks ◽  
Cost Efficient ◽  
Media Cloud

Now a days data is growing at a very fast rate. Here data is referred not only with organizational data but the data also from non-organizational and social media, the data may be PDF’s, Photos, Audios, Videos, XML file etc. To earn more profit, the organizations tends to establish Cloud Storage with minimum establishment cost and high security. To provide robust and secure platform is the main aspect of cloud. Lots of algorithms have been designed and implementing for securing the data at cloud but the attack on 2014 on cloud in which 50 million accounts were hacked, shows that cloud is not fully secured. The main focus of this paper is to draw attention towards security issues and cost-efficient cloud and the solution for implementing it.

PERCEPTION OR CAPABILITIES? AN EMPIRICAL INVESTIGATION OF THE FACTORS INFLUENCING THE ADOPTION OF SOCIAL MEDIA AND PUBLIC CLOUD IN GERMAN SMEs

2020 ◽  
pp. 2150002
Author(s):  
SOHAIB S. HASSAN ◽  
CHRISTIAN REUTER ◽  
LEVAN BZHALAVA
Keyword(s):  
Social Media ◽  
Cloud Computing ◽  
Quantitative Research ◽  
Small And Medium Enterprises ◽  
Public Cloud ◽  
Related Factors ◽  
Quantitative Research Methods ◽  
Industrial Sectors ◽  
Internal Capabilities ◽  
Implementation Costs

Social media and public cloud computing (SM&PC) have emerged as important resources of small and medium enterprises (SMEs), but not all SMEs use SM&PC. The existing research predominantly focuses on the role of either the features of social media and cloud computing in relation to the perceptions of decision makers or the internal capabilities of organization concerning new innovation adoption. By integrating multidisciplinary literature, we, instead, argues that both the perception- and capability-related factors could play an important role in the adoption of new ICT technology, such as SM&PC. Therefore, we empirically investigated the decision maker’s perception-related and SME’s capability-related factors that may influence the adoption of SM&PC in SMEs in Germany. We used quantitative research methods to examine the proposed hypotheses on a sample of 2,404 SMEs from 17 industrial sectors. The results demonstrate that the decisions of German SMEs to engage in social media and cloud computing are not only influenced by the perceptions of SME owners about the usefulness, security aspects, and the implementation costs of SM&PC, but also by the internal capabilities of an SME, namely the innovativeness of an SME. The results and potential contributions of our research are discussed.

Sign in / Sign up

Export Citation Format

Share Document