scholarly journals A Survey on SLA Management for Cloud Computing and Cloud-Hosted Big Data Analytic Applications

2016 ◽  
Vol 9 (4) ◽  
pp. 107-118 ◽  
Author(s):  
Radhya Sahal ◽  
Mohamed H. Khafagy ◽  
Fatma A. Omara
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Sla Management ◽  
Data Analytic

FinTech and SMEs

2019 ◽  
pp. 14-41 ◽  
Author(s):  
Stefania Marrara ◽  
Mirjana Pejic-Bach ◽  
Sanja Seljan ◽  
Amir Topalovic
Keyword(s):  
Image Processing ◽  
Cloud Computing ◽  
Big Data ◽  
Embedded Systems ◽  
Mobile Networks ◽  
Trust Management ◽  
Continuous Growth ◽  
Banking Services ◽  
Data Analytic

In this chapter, a study about how Italian SMEs understand and use FinTech technologies is presented. The study focuses on FinTech-aided banking services, in particular, due to the fact that these are, at present, the most widely used FinTech technologies available in Italy. The study shows how, despite FinTech entering Italy only in recently, the Italian SMEs market is very active and fruitful for digital companies. In the last years, a continuous growth of investment has seen the development of FinTech technologies in multiple areas, such as mobile networks, big data, trust management, mobile embedded systems, cloud computing, image processing, and data analytic techniques.

FinTech and SMEs

2021 ◽  
pp. 667-688
Author(s):  
Stefania Marrara ◽  
Mirjana Pejic-Bach ◽  
Sanja Seljan ◽  
Amir Topalovic
Keyword(s):  
Image Processing ◽  
Cloud Computing ◽  
Big Data ◽  
Embedded Systems ◽  
Mobile Networks ◽  
Trust Management ◽  
Continuous Growth ◽  
Banking Services ◽  
Data Analytic

In this chapter, a study about how Italian SMEs understand and use FinTech technologies is presented. The study focuses on FinTech-aided banking services, in particular, due to the fact that these are, at present, the most widely used FinTech technologies available in Italy. The study shows how, despite FinTech entering Italy only in recently, the Italian SMEs market is very active and fruitful for digital companies. In the last years, a continuous growth of investment has seen the development of FinTech technologies in multiple areas, such as mobile networks, big data, trust management, mobile embedded systems, cloud computing, image processing, and data analytic techniques.

FinTech and SMEs

2021 ◽  
pp. 261-282
Author(s):  
Stefania Marrara ◽  
Mirjana Pejic-Bach ◽  
Sanja Seljan ◽  
Amir Topalovic
Keyword(s):  
Image Processing ◽  
Cloud Computing ◽  
Big Data ◽  
Embedded Systems ◽  
Mobile Networks ◽  
Trust Management ◽  
Continuous Growth ◽  
Banking Services ◽  
Data Analytic

In this chapter, a study about how Italian SMEs understand and use FinTech technologies is presented. The study focuses on FinTech-aided banking services, in particular, due to the fact that these are, at present, the most widely used FinTech technologies available in Italy. The study shows how, despite FinTech entering Italy only in recently, the Italian SMEs market is very active and fruitful for digital companies. In the last years, a continuous growth of investment has seen the development of FinTech technologies in multiple areas, such as mobile networks, big data, trust management, mobile embedded systems, cloud computing, image processing, and data analytic techniques.

Cloud Computing Monitoring Gateway for Secured Session Management of Big Data Analytic Sessions

2013 ◽  
Author(s):  
Atif Farid Mohammad ◽  
Emanuel S. Grant ◽  
Ronald Marsh ◽  
Scott Kerlin
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Session Management ◽  
Analytic Sessions ◽  
Data Analytic

A Review on Big Data Analytics in Business

2018 ◽  
pp. 210-214
Author(s):  
Manbir Sandhu ◽  
Purnima, Anuradha Saini
Keyword(s):  
Big Data ◽  
Big Data Analytics ◽  
Smart Devices ◽  
Data Streaming ◽  
Huge Amount ◽  
Business Units ◽  
Enormous Amount ◽  
Tools And Techniques ◽  
Heath Care ◽  
Data Analytic

Big data is a fast-growing technology that has the scope to mine huge amount of data to be used in various analytic applications. With large amount of data streaming in from a myriad of sources: social media, online transactions and ubiquity of smart devices, Big Data is practically garnering attention across all stakeholders from academics, banking, government, heath care, manufacturing and retail. Big Data refers to an enormous amount of data generated from disparate sources along with data analytic techniques to examine this voluminous data for predictive trends and patterns, to exploit new growth opportunities, to gain insight, to make informed decisions and optimize processes. Data-driven decision making is the essence of business establishments. The explosive growth of data is steering the business units to tap the potential of Big Data to achieve fueling growth and to achieve a cutting edge over their competitors. The overwhelming generation of data brings with it, its share of concerns. This paper discusses the concept of Big Data, its characteristics, the tools and techniques deployed by organizations to harness the power of Big Data and the daunting issues that hinder the adoption of Business Intelligence in Big Data strategies in organizations.

Challenges and Cloud Computing Environments Towards Big Data

2014 ◽  
pp. 203-208
Author(s):  
Kiran Kumar S V N Madupu
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Technology Development ◽  
Computing Environments ◽  
Modern Technologies

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.

Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

2017 ◽  
Vol 7 (7) ◽  
pp. 137
Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Large Data ◽  
Workflow Scheduling ◽  
Cloud Environment ◽  
Computing Environment ◽  
Scientific Application ◽  
Cloud Computing Environment ◽  
Flow Of Information

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.

Issues in security and privacy of big data

2018 ◽  
Vol 7 (12) ◽  
pp. 1
Author(s):  
Shaveta Bhatia
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Approximate Method ◽  
Biomedical Research ◽  
Cyber Security ◽  
Data Science ◽  
Third Party ◽  
Security And Privacy ◽  
Security Threats ◽  
The Third

 The epoch of the big data presents many opportunities for the development in the range of data science, biomedical research cyber security, and cloud computing. Nowadays the big data gained popularity.  It also invites many provocations and upshot in the security and privacy of the big data. There are various type of threats, attacks such as leakage of data, the third party tries to access, viruses and vulnerability that stand against the security of the big data. This paper will discuss about the security threats and their approximate method in the field of biomedical research, cyber security and cloud computing.

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