Cloud computing: state-of-the-art and research challenges

By Qi Zhang, Lu Cheng, Raouf Boutaba. Journal of Internet Services and Applications, 2010

3,978 citations recorded by the source corpus.

Cloud computing has recently emerged as a new paradigm for hosting and delivering services over the Internet. Cloud computing is attractive to business owners as it eliminates the requirement for users to plan ahead for provisioning, and allows enterprises to start from the small and increase resources only when there is a rise in service demand. However, despite the fact that cloud computing offers huge opportunities to the IT industry, the development of cloud computing technology is currently at its infancy, with many issues still to be addressed. In this paper, we present a survey of cloud computing, highlighting its key concepts, architectural principles, state-of-the-art implementation as well as research challenges. The aim of this paper is to provide a better understanding of the design challenges of cloud computing and identify important research directions in this increasingly important area.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/7ef08f1fa127af817cdfd9d3bd00bdf60e32143b

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Citations in the corpus

Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges (2019, background): “architectures & data centres with renewable nodes, fog based public cloud computing [82], [83] [92], [99], [100].”
On the Integration of Cloud Computing and Internet of Things (2014, background): “IoT and multimedia technologies have made their entrance in the healthcare field thanks to ambient-assisted living and telemedicine [57].”
A Survey on Security Issues in Cloud Computing (2011, background): “The prominent ones are: Amazon-EC2 [22, 23] (Elastic Compute Cloud), S3 [22] (Simple Storage Service), SQS (Simple Queue Service), CF (Cloud Front), SimpleDB, Google, Microsoft Windows-Azure [23], ProofPoint, RightScale, Salesforce.”
Smart Contract Development: Challenges and Opportunities (2021, background): “did a survey of cloud computing technology and presented some design challenges of cloud computing [155].”
An analysis of security issues for cloud computing (2013, background): “The cloud model provides three types of services [21,28,29]:”
Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches (2015, background): “Early in 2009, Zhao et al. [2009] proposed the use of a GA scheduler to schedule independent and divisible tasks in a cloud computing environment, with makespan as the objective.”
Optimization of Radio and Computational Resources for Energy Efficiency in Latency-Constrained Application Offloading (2014, background): “Of course, other business and economic aspects could play a fundamental role in the exploitation of this kind of scenarios (see [16] for a reference describing the business model of cloud computing or [17] for cloud pricing structures including computing, storage, and network prices).”
Network Function Virtualization: State-of-the-Art and Research Challenges (2015, background): “4, and based on business models for network virtualization [20] and cloud computing [14], we identify five main players in a NFV environment and propose a reference business model that illustrates the possible business relationships between them as shown in Fig.”
The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems (2017, methodology): “System and software architectures need to be defined, coded and executed based on the standard such as agile development, Map Reduce framework and any software frameworks that can reduce the processing time and complexity (Zhang et al. 2010).”
A critical review of cloud computing: researching desires and realities (2012, background): “Indeed most authors discuss cloud ‘as a service’ available via the internet (Vaquero et al ., 2008; Buyya et al ., 2009a; Armbrust et al ., 2010; Stanoevska-Slabeva and Wozniak, 2010; Zhang et al ., 2010; Han, 2011; Marston et al ., 2011; Mircea et al ., 2011).”
A Survey of Large Scale Data Management Approaches in Cloud Environments (2011, background): “In fact, cloud computing is often compared to the following technologies, each of which shares certain aspects with cloud computing [13]: • Virtualization: is a technology that abstracts away the details of physical hardware and provides virtualized resources for high-level applications [14], [15], ”
Cloud Load Balancing Techniques : A Step Towards Green Computing (2012, background): “Server Consolidation helps in improving resource utilization by consolidating various VMs residing on multiple under-utilized servers onto a single server, thereby turning off unused servers, hence reducing energy consumption in a cloud computing environment [19].”
On Global Electricity Usage of Communication Technology: Trends to 2030 (2015, background): “The general problems and opportunities regarding electricity usage of WAN have been widely discussed [111–116].”
Mobile cloud computing: A survey (2013, positive): “Extensive surveys on cloud computing such as [6,5,8,7,9,10] can be found in the literature, and here we focus on the potential of, and the challenges faced by mobile cloud computing.”
A Survey of Data-Intensive Scientific Workflow Management (2015, methodology): “a software implementation of a computer that executes programs (like a real computer) while abstracting away the details of physical hardware [143].”