scholarly journals Dynamic OverCloud: Realizing Microservices-Based IoT-Cloud Service Composition over Multiple Clouds

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 969 ◽  
Author(s):  
Jungsu Han ◽  
Sun Park ◽  
JongWon Kim
Keyword(s):  
Service Composition ◽  
Cloud Service ◽  
Cloud Services ◽  
Information And Communications Technology ◽  
Software Framework ◽  
Iot Devices ◽  
Multiple Clouds ◽  
Cloud Service Composition ◽  
Convergence Trend ◽  
Lock In

With the expansion of cloud-leveraged Information and Communications Technology (ICT) convergence trend, cloud-native computing is starting to be the de-facto paradigm together with MSA(Microservices Architecture)-based service composition for agility and efficiency. Moreover, by bridging the Internet of Things (IoT) and cloud together, a variety of cloud applications are explosively emerging. As an example, the so-called IoT-Cloud services, which are cloud-leveraged inter-connected services with distributed IoT devices, dynamically utilize geographically-distributed multiple clouds since mobile IoT devices can selectively connect to the near-by cloud resources for low-latency and high-throughput connectivity. In comparison, most public cloud providers may cause vendor lock-in problems that limit the inter-operable service compositions. Thus, in this paper, we propose a new overlay approach to address the above limitations, denoted as Dynamic OverCloud, which is a specially-arranged razor-thin overlay layer that provides users with an inter-operable and visibility-supported environment for MSA-based IoT-Cloud service composition over the existing multiple clouds. Then, we design a software framework that dynamically builds the proposed concept. We also describe a detailed implementation of the software framework with workflows. Finally, we verify its feasibility by realizing a smart energy IoT-Cloud service with the suggested operation lifecycle.

scholarly journals Evaluating the QoS Cognizance in Composition of Cloud Services: A Systematic Literature Review

2018 ◽  
Vol 7 (4.6) ◽  
pp. 141
Author(s):  
A V L N Sujith ◽  
Dr. A Rama Mohan Reddy ◽  
Dr. K Madhavi
Keyword(s):  
Service Composition ◽  
Service Discovery ◽  
Service Providers ◽  
Service Selection ◽  
Cloud Service ◽  
Cloud Services ◽  
Future Research ◽  
Promising Area ◽  
Cloud Service Composition ◽  
Rapid Deployment

Enterprise level computing constantly investigates novel approaches that maximize their profits and minimize their expenses. With the rapid growth of cloud computing XaaS – ‘anything as a service’, service providers are enabled with the rapid deployment of virtual services to service requestors. Because of the enormous growth in the variety of the services and based on the demand of the virtualized resources, cloud service providers are facing tough competition to facilitate the composite service requests made by the service requestors. QoS (Quality of Service)  is considered to be a preliminary factor while composing a new cloud service out of heterogeneous and distributed atomic services. Therefore service composition is promising area that focuses on the design and development of the automated approaches to deal with diverse phases of service composition techniques that include service discovery, negotiation, service selection and optimization of the atomic services. This paper provides anatomy of  existing studies addressing the problem of cloud service composition that enable to identify intended objectives of the technique along with diverse QoS aware problem solving approaches. Furthermore, the key areas of the improvement in cloud service composition are identified for future research. 

scholarly journals A Multi-Criteria Multi-Cloud Service Composition in Mobile Edge Computing

2020 ◽  
Vol 12 (18) ◽  
pp. 7661
Author(s):  
Beibei Pang ◽  
Fei Hao ◽  
Doo-Soon Park ◽  
Carmen De Maio
Keyword(s):  
Energy Consumption ◽  
Service Composition ◽  
Cloud Service ◽  
Edge Computing ◽  
Formal Concept ◽  
Mobile Edge Computing ◽  
Multiple Clouds ◽  
Cloud Service Composition ◽  
Cloud Servers ◽  
Multi Cloud

The development of mobile edge computing (MEC) is accelerating the popularity of 5G applications. In the 5G era, aiming to reduce energy consumption and latency, most applications or services are conducted on both edge cloud servers and cloud servers. However, the existing multi-cloud composition recommendation approaches are studied in the context of resources provided by a single cloud or multiple clouds. Hence, these approaches cannot cope with services requested by the composition of multiple clouds and edge clouds jointly in MEC. To this end, this paper firstly expands the structure of the multi-cloud service system and further constructs a multi-cloud multi-edge cloud (MCMEC) environment. Technically, we model this problem with formal concept analysis (FCA) by building the service–provider lattice and provider–cloud lattice, and select the candidate cloud composition that satisfies the user’s requirements. In order to obtain an optimized cloud combination that can efficiently reduce the energy consumption, money cost, and network latency, the skyline query mechanism is utilized for extracting the optimized cloud composition. We evaluate our approach by comparing the proposed algorithm to the random-based service composition approach. A case study is also conducted for demonstrating the effectiveness and superiority of our proposed approach.

scholarly journals Assessing Determinants of Continuance Intention towards Personal Cloud Services: Extending UTAUT2 with Technology Readiness

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 467
Author(s):  
Shih-Chih Chen ◽  
Shing-Han Li ◽  
Shih-Chi Liu ◽  
David C. Yen ◽  
Athapol Ruangkanjanases
Keyword(s):  
Rapid Development ◽  
Cloud Service ◽  
Individual Characteristics ◽  
Partial Least Square ◽  
Cloud Services ◽  
Least Square ◽  
Information And Communications Technology ◽  
Technology Readiness ◽  
Continuance Intention ◽  
Systems Research

In addition to the rapid development of global information and communications technology (ICT) and the Internet, recent rapid growth in cloud computing technology represents another important trend. Individual continuance intention towards information technology is a critical area in which information systems research can be performed. This study aims to develop an integrated model designed to explain and predict an individual’s continuance intention towards personal cloud services based on the concepts of technology readiness (TR) and the unified theory of acceptance and use of technology 2 (UTAUT2), moderated by gender, age, and experience of personal cloud services. The key results of the partial least square test largely support the proposed model’s validity and the significant impact of effort expectancy, social influence, hedonic motivation, price value, habit, and technology readiness on continuance intention towards personal cloud services. In addition to providing symmetric theoretical support with the proposed model and transforming the individual characteristics of TR into UTAUT2, this study could be used to enhance and analyze users’ adoption of personal cloud services and also increase the symmetry of the model’s explanation and prediction. The findings from this research contribute to providing practical implications and academic resources as well as improving our understanding of personal cloud service applications.

scholarly journals MultiCuckoo: Multi-Cloud Service Composition Using a Cuckoo-Inspired Algorithm for the Internet of Things Applications

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 56737-56749 ◽  
Author(s):  
Heba Kurdi ◽  
Fadwa Ezzat ◽  
Lina Altoaimy ◽  
Syed Hassan Ahmed ◽  
Kamal Youcef-Toumi
Keyword(s):  
Internet Of Things ◽  
Service Composition ◽  
Cloud Service ◽  
The Internet ◽  
Cloud Service Composition ◽  
The Internet Of Things ◽  
Multi Cloud

Combining reputation and QoS measures to improve cloud service composition

2017 ◽  
Vol 8 (2) ◽  
pp. 142 ◽  
Author(s):  
Fabrizio Messina ◽  
Giuseppe Pappalardo ◽  
Antonello Comi ◽  
Lidia Fotia ◽  
Domenico Rosaci ◽  
...  
Keyword(s):  
Service Composition ◽  
Cloud Service ◽  
Cloud Service Composition

scholarly journals An Efficient Multi-Cloud Service Composition Using A Distributed Multiagent-based, Memory-driven Approach

2019 ◽  
pp. 1-1 ◽  
Author(s):  
Phillip Kendrick ◽  
Thar Baker ◽  
Zakaria Maamar ◽  
Abir Hussain ◽  
Rajkumar Buyya ◽  
...  
Keyword(s):  
Service Composition ◽  
Cloud Service ◽  
Cloud Service Composition ◽  
Multi Cloud

scholarly journals Video Cloud Services for Hospitals: Designing an End-to-End Cloud Service Platform for Medical Video Storage and Secure Access

10.2196/18139 ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. e18139
Author(s):  
Piotr Pawałowski ◽  
Cezary Mazurek ◽  
Mikołaj Leszczuk ◽  
Jean-Marie Moureaux ◽  
Amine Chaabouni
Keyword(s):  
Video Quality ◽  
Cloud Service ◽  
Video Data ◽  
Cloud Services ◽  
Information And Communications Technology ◽  
Video Encoding ◽  
Rapid Expansion ◽  
Long Run ◽  
Generic Architecture ◽  
End To End

The amount of medical video data that has to be securely stored has been growing exponentially. This rapid expansion is mainly caused by the introduction of higher video resolution such as 4K and 8K to medical devices and the growing usage of telemedicine services, along with a general trend toward increasing transparency with respect to medical treatment, resulting in more and more medical procedures being recorded. Such video data, as medical data, must be maintained for many years, resulting in datasets at the exabytes scale that each hospital must be able to store in the future. Currently, hospitals do not have the required information and communications technology infrastructure to handle such large amounts of data in the long run. In this paper, we discuss the challenges and possible solutions to this problem. We propose a generic architecture for a holistic, end-to-end recording and storage platform for hospitals, define crucial components, and identify existing and future solutions to address all parts of the system. This paper focuses mostly on the recording part of the system by introducing the major challenges in the area of bioinformatics, with particular focus on three major areas: video encoding, video quality, and video metadata.

Sign in / Sign up

Export Citation Format

Share Document