Towards a Better Understanding of Ubiquitous Cloud Computing

2018 ◽  
Vol 8 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Hamed Vahdat-Nejad ◽  
Shaghayegh Ostadi Eilaki ◽  
Shaghayegh Izadpanah
Keyword(s):  
Cloud Computing ◽  
Cloud Services ◽  
Open Architecture ◽  
Future Research ◽  
Hybrid Computing ◽  
Computing Model ◽  
Computing Paradigm ◽  
Future Research Directions ◽  
Art Research ◽  
Ubiquitous Cloud Computing

Ubiquitous Cloud Computing has been recently proposed as a new hybrid computing model. This paradigm has two aspects: (a) Making use of cloud services to realize context-awareness (especially for mobile phones) and (b) Introducing a new and hybrid computing model. Likewise, this paper mainly involves two subjects: To deeply investigate previous cloud services that have been utilized to design context-aware systems, and to propose an open architecture for the “Ubiquitous Cloud Computing” paradigm. The aim of this article is to technically discuss mutual trends of ubiquitous and cloud computing, to foster the dissemination of state-of-the-art research in this area, and to present future research directions.

scholarly journals Moving to the Edge-Cloud-of-Things: Recent Advances and Future Research Directions

Electronics ◽  
2018 ◽  
Vol 7 (11) ◽  
pp. 309 ◽  
Author(s):  
Hind Bangui ◽  
Said Rakrak ◽  
Said Raghay ◽  
Barbora Buhnova
Keyword(s):  
Cloud Computing ◽  
Leading Edge ◽  
Cloud Services ◽  
Future Research ◽  
Research Directions ◽  
Iot Applications ◽  
Future Research Directions ◽  
Iot Devices ◽  
The Internet Of Things

Cloud computing has significantly enhanced the growth of the Internet of Things (IoT) by ensuring and supporting the Quality of Service (QoS) of IoT applications. However, cloud services are still far from IoT devices. Notably, the transmission of IoT data experiences network issues, such as high latency. In this case, the cloud platforms cannot satisfy the IoT applications that require real-time response. Yet, the location of cloud services is one of the challenges encountered in the evolution of the IoT paradigm. Recently, edge cloud computing has been proposed to bring cloud services closer to the IoT end-users, becoming a promising paradigm whose pitfalls and challenges are not yet well understood. This paper aims at presenting the leading-edge computing concerning the movement of services from centralized cloud platforms to decentralized platforms, and examines the issues and challenges introduced by these highly distributed environments, to support engineers and researchers who might benefit from this transition.

Meta-Heuristic and Non-Meta-Heuristic Energy-Efficient Load Balancing Algorithms in Cloud Computing

2020 ◽  
pp. 203-222
Author(s):  
Rojalina Priyadarshini ◽  
Rabindra Kumar Barik ◽  
Brojo Kishore Mishra
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Energy Efficient ◽  
Future Research ◽  
Computing Paradigm ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Future Research Directions ◽  
Cloud Environments ◽  
Power And Energy

The number of users of cloud computing services is drastically increasing, thereby increasing the size of data centers across the globe. In virtue of it, the consumption of power and energy is a major concern for system designers and developers. Their goal is now to develop power and energy-efficient products at the same time maintaining the quality and cost of products and services. For managing the power and efficiency, several aspects are taken into consideration in cloud computing paradigm. Load balancing, task scheduling, task migration, resource allocation are some of the techniques, which need to be efficiently employed to minimize the energy consumption. This chapter represents the detailed survey of the existing solutions and approaches for energy-efficient load balancing algorithms used in cloud environments. The research challenges as well as future research directions are also discussed in this chapter.

Fog Computing and Its Challenges

2019 ◽  
pp. 36-52
Author(s):  
Vighnesh Srinivasa Balaji
Keyword(s):  
Cloud Computing ◽  
Fog Computing ◽  
Service Level ◽  
Future Research ◽  
Research Directions ◽  
Security Issues ◽  
Computing Paradigm ◽  
Future Research Directions ◽  
Time Latency ◽  
Iot Devices

In recent times, the number of internet of things (IoT) devices/sensors increased tremendously. To support the computational demand of real-time latency-sensitive applications of largely geo-distributed IoT devices/sensors, a new computing paradigm named fog computing has been introduced. In this chapter, the authors will introduce fog computing, its difference in comparison to cloud computing, and issues related to fog. Among the three issues (i.e. service, structural, and security issues), this chapter scrutinizes and comprehensively discusses the service and structural issues also providing the service level objectives of the fog. They next provide various algorithms for computing in fog, the challenges faced, and future research directions. Among the various uses of fog, two scenarios are put to use.

Cybersecurity threats in cloud computing

2013 ◽  
Vol 1 (1) ◽  
pp. 58-74
Author(s):  
Julian Jang Jaccard
Keyword(s):  
Cloud Computing ◽  
Cyber Attacks ◽  
Future Research ◽  
The Internet ◽  
Privacy And Security ◽  
Research Directions ◽  
Computing Model ◽  
Storage Network ◽  
Future Research Directions ◽  
Potential Risks

Recently we have witnessed the emergence of cloud computing as a new computing model that offers resources (e.g., compute, storage, network, etc.) as general utilities to be leased and released on-demand by users through the Internet. Given its innovative nature and reliance on the Internet, the cloud inherently comes with a number of vulnerabilities that increase the space for cyber attacks. This paper aims to provide an overview of major potential risks to privacy and security in the cloud. Various emerging threats and attack methods are discussed, and some speculative future research directions are presented.   

scholarly journals Cybersecurity threats in cloud computing

2013 ◽  
Vol 1 (1) ◽  
pp. 58-74
Author(s):  
Julian Jang Jaccard
Keyword(s):  
Cloud Computing ◽  
Cyber Attacks ◽  
Future Research ◽  
The Internet ◽  
Privacy And Security ◽  
Research Directions ◽  
Computing Model ◽  
Storage Network ◽  
Future Research Directions ◽  
Potential Risks

Recently we have witnessed the emergence of cloud computing as a new computing model that offers resources (e.g., compute, storage, network, etc.) as general utilities to be leased and released on-demand by users through the Internet. Given its innovative nature and reliance on the Internet, the cloud inherently comes with a number of vulnerabilities that increase the space for cyber attacks. This paper aims to provide an overview of major potential risks to privacy and security in the cloud. Various emerging threats and attack methods are discussed, and some speculative future research directions are presented.   

Value Co-Creation in Cloud Services

2013 ◽  
pp. 74-91 ◽  
Author(s):  
Ammar Rashid ◽  
William Yu Chung Wang ◽  
Felix B. Tan
Keyword(s):  
Service Providers ◽  
Practical Experience ◽  
Cloud Services ◽  
Future Research ◽  
Research Directions ◽  
Technical Aspects ◽  
Creation Process ◽  
Managerial Implications ◽  
Future Research Directions

In recent years, there has been considerable interest in cloud services in academic literature. Most research in this area has focused on the technical aspects of designing and implementing cloud services, with few studies focusing on understanding the value of cloud services and the processes by which consumer and service providers engage each other to co-create these services. This chapter explains the co-creation processes, and, the role of consumer in the value co-creation process of cloud services. It incorporates extant marketing and information systems literature, industry reports, and practical experience reflections to highlight the significance of cloud services. The drivers of co-creation are explored with the description of co-creation processes and the underlying factors involved in value co-creation of cloud services. The chapter concludes by outlining the opportunities associated with the development of cloud services, noting future research directions and discussing academic and managerial implications.

Examining IoT's Applications Using Cloud Services

2018 ◽  
pp. 147-163 ◽  
Author(s):  
Saravanan K ◽  
P. Srinivasan
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Distributed Computing ◽  
Knowledge Sharing ◽  
Effective Communication ◽  
Cloud Services ◽  
On Demand ◽  
Computing Paradigm ◽  
Iot Devices ◽  
And Storage

Cloud IoT has evolved from the convergence of Cloud computing with Internet of Things (IoT). The networked devices in the IoT world grow exponentially in the distributed computing paradigm and thus require the power of the Cloud to access and share computing and storage for these devices. Cloud offers scalable on-demand services to the IoT devices for effective communication and knowledge sharing. It alleviates the computational load of IoT, which makes the devices smarter. This chapter explores the different IoT services offered by the Cloud as well as application domains that are benefited by the Cloud IoT. The challenges on offloading the IoT computation into the Cloud are also discussed.

Cloud and Mobile

2016 ◽  
pp. 1-20 ◽  
Author(s):  
Antonio Miguel Rosado da Cruz ◽  
Sara Paiva
Keyword(s):  
Cloud Computing ◽  
Mobile Computing ◽  
Mobile Devices ◽  
Mobile Apps ◽  
Mobile Technologies ◽  
Future Research ◽  
Mobile Cloud ◽  
Research Projects ◽  
Research Directions ◽  
Future Research Directions

Mobile computing and Cloud computing are two of the most growing technologies in number of users, practitioners and research projects. This chapter surveys mobile technologies and applications, along with cloud computing technologies and applications, presenting their evolution and characteristics. Then, building on mobile devices limitations and mobile apps increasing need of resources, and on the cloud computing ability to overcome those limitations, the chapter presents mobile cloud computing, and characterizes it by addressing approaches to augment mobile devices capabilities. The chapter is settled after some views about future research directions and some concluding remarks.

A Cloud Trusting Mechanism Based on Resource Ranking

2020 ◽  
pp. 130-155
Author(s):  
Ajai K. Daniel
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Service Selection ◽  
Cloud Service ◽  
Cloud Services ◽  
Storage And Retrieval ◽  
Computing Paradigm ◽  
Efficient Resource ◽  
Software And Hardware ◽  
Cloud User

The cloud-based computing paradigm helps organizations grow exponentially through means of employing an efficient resource management under the budgetary constraints. As an emerging field, cloud computing has a concept of amalgamation of database techniques, programming, network, and internet. The revolutionary advantages over conventional data computing, storage, and retrieval infrastructures result in an increase in the number of organizational services. Cloud services are feasible in all aspects such as cost, operation, infrastructure (software and hardware) and processing. The efficient resource management with cloud computing has great importance of higher scalability, significant energy saving, and cost reduction. Trustworthiness of the provider significantly influences the possible cloud user in his selection of cloud services. This chapter proposes a cloud service selection model (CSSM) for analyzing any cloud service in detail with multidimensional perspectives.

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