Identification of trustworthy cloud services: solution approaches and research directions to build an automated cloud broker

Computing ◽  
2021 ◽  
Author(s):  
M. Marimuthu ◽  
J. Akilandeswari ◽  
P. R. Chelliah
Keyword(s):  
Cloud Services ◽  
Research Directions ◽  
Cloud Broker

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.

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.

scholarly journals Efficient and Optimal Service Component Distribution across Multiple Clouds

2018 ◽  
Vol 6 (3) ◽  
pp. 44 ◽  
Author(s):  
Driss Riane ◽  
Ahmed Ettalbi
Keyword(s):  
Cloud Services ◽  
Main Step ◽  
Service Component ◽  
Component Distribution ◽  
Cloud Broker ◽  
Optimal Service ◽  
Multiple Clouds ◽  
Lock In ◽  
Better Than

<span class="fontstyle0">Cloud computing technology is one of the key considerations for business willing to access to different cloud services over the Internet and to benefit from the diversity of IaaS offers and pricing models. Although several solutions are available in the market, there are still some issues to solve. The main important aspect to address is the user’s request complexity, the vendor lock-in risk and the SLA fulfillment. In this paper, we propose a Multi-Cloud Broker called MCB that allows an efficient and optimal service component distribution among different clouds in flexible and dynamic infrastructure provisioning environment, in order to achieve better Quality of Service and cost efficiency. The request partitioning is the main step of our approach, this step is performed using Gomory-Hu tree based algorithm. Our simulation results show how our algorithm is better than existing partitioning algorithms in terms of running time.</span>

Cloud Computing: Cloud Security to Trusted Cloud

2011 ◽  
Vol 186 ◽  
pp. 596-600 ◽  
Author(s):  
Ji Yi Wu ◽  
Qian Li Shen ◽  
Jian Lin Zhang ◽  
Qi Xie
Keyword(s):  
Cloud Computing ◽  
Trusted Computing ◽  
Cloud Security ◽  
Cloud Services ◽  
Research Progress ◽  
Computing Technology ◽  
Research Directions ◽  
Safety Issues ◽  
Security Challenge ◽  
Potential Risks

Cloud computing, with exciting market prospects, has a number of potential risks and safety issues to the cloud services users. After an objective analysis of the security challenge and problem, in current cloud computing development, the latest research progress in the field of cloud security were summarized. Finally, the important research directions in the field were pointed out. It’s will be a new trend for the cloud computing and trusted computing technology to integrate..

scholarly journals BSS: A Brokering Model for Service Selection using Integrated Weighting approach in Federated Cloud

2021 ◽  
Author(s):  
Sameer Singh Chauhan ◽  
Emmanuel S Pilli ◽  
R C Joshi
Keyword(s):  
Service Selection ◽  
Cloud Service ◽  
Entropy Method ◽  
Cloud Services ◽  
Total Weight ◽  
Reversal Problem ◽  
Cloud Broker ◽  
Subjective Weight ◽  
Access Patterns ◽  
Application Requirements

Abstract Federated Cloud is a multi-cloud platform that integrates various cloud providers either through standardization or an agreement. The services offered by different federation members possess different access patterns, similar characteristics, varied performance levels, different costs, etc. This heterogeneity creates a challenging task for users to decide a suitable service as per their application requirements. Cloud broker, an inter-mediator is required in service and federation management to help both service provider and users. Cloud broker has to store all the information related to services and feedback of users on those services in order to provide the best services to end-users. Brokering model for service selection (BSS) has been proposed which employs integrated weighting approach in cloud service selection. Subjective and objective weights of QoS attributes are combined to compute integrated total weight. Subjective weight is obtained from users’ feedback on QoS attributes of a cloud service while objective weight is computed from benchmark tested data of cloud services. Users' feedback and preferences given to QoS parameters are employed in subjective weight computation. Objective weight is computed using Shannon's Entropy method. Total weight is obtained by combining subjective and objective weights. BSS method is employed to rank cloud services. Simulation with a case study on real dataset has been done to validate the effectiveness of BSS. The obtained results demonstrate the consistency of model for handling rank reversal problem and provides better execution time than other state-of-the art solutions.

scholarly journals A Semi-Markov decision model-based brokering mechanism for mobile cloud market

2021 ◽  
Author(s):  
Elena Degtiareve
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Iteration Algorithm ◽  
Value Iteration ◽  
Security Risk ◽  
System Cost ◽  
Cloud Broker ◽  
Markov Decision ◽  
Markov Decision Model

As the multitude and complexity of cloud market increases the evaluation and selection of cloud services becomes a burdensome task for the users. With the increased rise of available services from various Cloud Service Providers (CSP), the role of cloud brokers becomes more and more important. In this thesis, the challenge of optimally allocating multiple cloud system resources to multiple mobile user’s requests with different requirements is investigated and an optimal Cloud Broker model is proposed. The cloud brokering mechanism is formulated as a Semi-Markov Decision Process (SMDP) model under the average system cost criteria, taking into consideration the cost of the occupying computing resources, the communication costs, the request traffic, and some security risk degrees and resource requirements from the multiple mobile users. Through minimizing the overall system cost, the optimal resource allocation policy is derived by using the Value Iteration Algorithm. Simulation results are provided, demonstrating the efficiency of the proposed Cloud Broker design.

scholarly journals BSS: a brokering model for service selection using integrated weighting approach in cloud environment

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Sameer Singh Chauhan ◽  
Emmanuel S. Pilli ◽  
R. C. Joshi
Keyword(s):  
Service Management ◽  
Service Selection ◽  
Cloud Service ◽  
Cloud Services ◽  
Total Weight ◽  
Cost Models ◽  
Reversal Problem ◽  
Cloud Broker ◽  
Subjective Weight ◽  
Cloud Providers

AbstractCloud providers shares their resources and services through collaboration in order to increase resource utilization, profit and quality of services. The offered services with different access patterns, similar characteristics, varied performance levels and cost models create a heterogeneous service environment. It becomes a challenging task for users to decide a suitable service as per their application requirements. Cloud broker, an inter-mediator is required in service management to help both cloud providers and users. Cloud broker has to store all the information related to services and feedback of users on those services in order to provide the best services to end-users. Brokering model for service selection (BSS) has been proposed which employs integrated weighting approach in cloud service selection. Subjective and objective weights of QoS attributes are combined to compute integrated total weight. Subjective weight is obtained from users’ feedback on QoS attributes of a cloud service while objective weight is computed from benchmark tested data of cloud services. Users’ feedback and preferences given to QoS parameters are employed in subjective weight computation. Objective weight is computed using Shannon’s Entropy method. Total weight is obtained by combining subjective and objective weights. BSS method is employed to rank cloud services. Simulation with a case study on real dataset has been done to validate the effectiveness of BSS. The obtained results demonstrate the consistency of model for handling rank reversal problem and provides better execution time than other state-of-the art solutions.

Value Co-Creation in Cloud Services

2015 ◽  
pp. 98-115
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.

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