Data Management Challenges and Opportunities in Cloud Computing

2012 ◽  
pp. 323-323 ◽  
Author(s):  
Kyuseok Shim ◽  
Sang Kyun Cha ◽  
Lei Chen ◽  
Wook-Shin Han ◽  
Divesh Srivastava ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Challenges And Opportunities

Comparison Study of Different NoSQL and Cloud Paradigm for Better Data Storage Technology

2018 ◽  
pp. 312-343
Author(s):  
Pankaj Lathar ◽  
K. G. Srinivasa ◽  
Abhishek Kumar ◽  
Nabeel Siddiqui
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Data Storage ◽  
High Performance ◽  
Large Scale ◽  
Web Based ◽  
Storage Technology ◽  
Data Store ◽  
Challenges And Opportunities ◽  
User Data

Advancements in web-based technology and the proliferation of sensors and mobile devices interacting with the internet have resulted in immense data management requirements. These data management activities include storage, processing, demand of high-performance read-write operations of big data. Large-scale and high-concurrency applications like SNS and search engines have appeared to be facing challenges in using the relational database to store and query dynamic user data. NoSQL and cloud computing has emerged as a paradigm that could meet these requirements. The available diversity of existing NoSQL and cloud computing solutions make it difficult to comprehend the domain and choose an appropriate solution for a specific business task. Therefore, this chapter reviews NoSQL and cloud-system-based solutions with the goal of providing a perspective in the field of data storage technology/algorithms, leveraging guidance to researchers and practitioners to select the best-fit data store, and identifying challenges and opportunities of the paradigm.

In defense of decentralized research data management

Neuroforum ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Michael Hanke ◽  
Franco Pestilli ◽  
Adina S. Wagner ◽  
Christopher J. Markiewicz ◽  
Jean-Baptiste Poline ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Research Data ◽  
Data Archive ◽  
Individual Scientist ◽  
Computing Platform ◽  
Research Data Management ◽  
Cloud Computing Platform ◽  
Research Objects ◽  
Central Services

Abstract Decentralized research data management (dRDM) systems handle digital research objects across participating nodes without critically relying on central services. We present four perspectives in defense of dRDM, illustrating that, in contrast to centralized or federated research data management solutions, a dRDM system based on heterogeneous but interoperable components can offer a sustainable, resilient, inclusive, and adaptive infrastructure for scientific stakeholders: An individual scientist or laboratory, a research institute, a domain data archive or cloud computing platform, and a collaborative multisite consortium. All perspectives share the use of a common, self-contained, portable data structure as an abstraction from current technology and service choices. In conjunction, the four perspectives review how varying requirements of independent scientific stakeholders can be addressed by a scalable, uniform dRDM solution and present a working system as an exemplary implementation.

Cloud-based e-health Applications in Palestine: Challenges and Success Opportunities

2019 ◽  
Vol 7 (2) ◽  
pp. 15-20
Author(s):  
Mousa Abdoh ◽  
Nael Salman
Keyword(s):  
Cloud Computing ◽  
Healthcare Service ◽  
Analytical Study ◽  
Low Cost ◽  
It Services ◽  
Potential Models ◽  
It Service ◽  
Current State ◽  
Challenges And Opportunities ◽  
Health Applications

Healthcare service costs are rising all over the world. That is mainly due to the lack of healthcare professionals and IT services.  Cloud computing is an emerging trend that provides a robust infrastructure that enables delivering low-cost services over the internet. In this paper, we conducted an analytical study on the e-health services in Palestine to investigate the current state-of-art and examine all challenges and opportunities to benefit from this technology. Collected data has been analyzed and the results revealed that there is a clear gap between the IT service models provided by Palestinian healthcare service provider, and the potential models based on latest IT trends; mainly, cloud computing. 

Enhancing the Disaster Recovery Plan through Virtualization

2013 ◽  
pp. 220-243
Author(s):  
Dennis Guster ◽  
Olivia F. Lee
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Disaster Recovery ◽  
Fault Tolerant ◽  
Equipment Failure ◽  
Recovery Plan ◽  
Continuity Of Operations ◽  
Security Breaches

Currently, organizations are increasingly aware of the need to protect their computer infrastructure to maintain continuity of operations. This process involves a number of different concerns including: managing natural disasters, equipment failure, and security breaches, poor data management, inadequate design, and complex/impractical design. The purpose of this article is to delineate how virtualization of hosts and cloud computing can be used to address the concerns resulting in improved computer infrastructure that can easily be restored following a natural disaster and which features fault tolerant hosts/components, isolates applications security attacks, is simpler in design, and is easier to manage. Further, because this technology has been out for a number of years and its capabilities have matured an attempt has been made to describe those capabilities as well as document successful applications.

Energy-Efficiency in a Cloud Computing Backbone

2013 ◽  
pp. 283-305
Author(s):  
Burak Kantarci ◽  
Hussein T. Mouftah
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
High Performance ◽  
Data Centers ◽  
High Capacity ◽  
Power Saving ◽  
Cloud Services ◽  
Mixed Integer ◽  
Ip Over Wdm ◽  
Challenges And Opportunities

Cloud computing combines the advantages of several computing paradigms and introduces ubiquity in the provisioning of services such as software, platform, and infrastructure. Data centers, as the main hosts of cloud computing services, accommodate thousands of high performance servers and high capacity storage units. Offloading the local resources increases the energy consumption of the transport network and the data centers although it is advantageous in terms of energy consumption of the end hosts. This chapter presents a detailed survey of the existing mechanisms that aim at designing the Internet backbone with data centers and the objective of energy-efficient delivery of the cloud services. The survey is followed by a case study where Mixed Integer Linear Programming (MILP)-based provisioning models and heuristics are used to guarantee either minimum delayed or maximum power saving cloud services where high performance data centers are assumed to be located at the core nodes of an IP-over-WDM network. The chapter is concluded by summarizing the surveyed schemes with a taxonomy including the cons and pros. The summary is followed by a discussion focusing on the research challenges and opportunities.

Byzantine Fault-Tolerant Architecture in Cloud Data Management

2019 ◽  
pp. 889-902
Author(s):  
Mohammed A. AlZain ◽  
Alice S. Li ◽  
Ben Soh ◽  
Mehedi Masud
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Service Provider ◽  
Fault Tolerant ◽  
Academic Research ◽  
Point Of View ◽  
Cloud Data ◽  
Byzantine Faults ◽  
Byzantine Fault ◽  
Cloud Data Management

One of the main challenges in cloud computing is to build a healthy and efficient storage for securely managing and preserving data. This means a cloud service provider needs to make sure that its clients' outsourced data are stored securely and, data queries and retrievals are executed correctly and privately. On the other hand, it may also mean businesses are willing to outsource their data to a third party only if they trust their data are not accessible and visible to the service provider and other non-authorized parties. However, one of the major obstacles faced here for ensuring data reliability and security is Byzantine faults. While Byzantine fault tolerance (BFT) has received growing attention from the academic research community, the research done is generally from the distributed computing point of view, and hence finds little practical use in cloud computing. To that end, the focus of this paper is to discuss how these faults can be tolerated with the authors' proposed conceptualization of Byzantine data faults and fault-tolerant architecture in cloud data management.

Curtailing the Threats to Cloud Computing in the Fourth Industrial Revolution

2018 ◽  
pp. 112-140 ◽  
Author(s):  
John Gyang Chaka ◽  
Mudaray Marimuthu
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Cost Minimization ◽  
End Users ◽  
Security Threats ◽  
Fourth Industrial Revolution ◽  
Organizational Needs

Cloud computing enables end users to make use of third party's resources to support their computing needs. The services offered by cloud computing make the technology very critical to the fourth industrial revolution. The benefits include cost minimization, scalability of services, speed, integration and higher data management, low innovation risk, and quicker response to organizational needs, among others. However, these benefits have been threatened by a number of security threats. This chapter seeks to curtail the effects of these threats by enlightening and educating users on the current ways to mitigate them. The chapter first defines cloud computing and highlights its relevance or benefits to businesses in the fourth industrial revolution. In addition, various security threats that are associated with cloud computing are brought to the fore. Thereafter, various measures that are used to mitigate the threats are discussed. The chapter concludes that with adequate enlightenment, the full benefits of cloud computing in industry 4.0 would be better enjoyed by users.

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