scholarly journals An optimal broker design for inter-cloud systems

2021 ◽  
Author(s):  
Shraddha R Peesary
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
End Users ◽  
Service Request ◽  
Cloud Systems ◽  
Cloud Broker ◽  
Cost Criterion ◽  
Long Run ◽  
Markov Decision ◽  
The One

In the next generation of Cloud computing systems, it is expected that multiple Cloud Service Providers (CSPs) will cooperate together to advertise their services and prices to their end users, which may choose the one that best meets their budgetary and technical needs. Despite this benefit of having multiple CSPs to select from, several issues may arise. For instance, how does an IT entrepreneur select a CSP to offload his/her service request? How does the underlying Inter-Cloud system handle this service request? To address these questions, this thesis proposes a novel Optimal Cloud Broker design for Inter-Cloud Systems in the form of a Semi-Markov Decision Process (SMDP) based model. Under the long-run expected average cost criterion, the optimal policy is derived, which aim at maximizing the overall virtual machine utilization while giving the end users the best possible prices. The effectiveness of the proposed Broker design is validated by numerical results.

scholarly journals An optimal broker design for inter-cloud systems

2021 ◽  
Author(s):  
Shraddha R Peesary
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
End Users ◽  
Service Request ◽  
Cloud Systems ◽  
Cloud Broker ◽  
Cost Criterion ◽  
Long Run ◽  
Markov Decision ◽  
The One

In the next generation of Cloud computing systems, it is expected that multiple Cloud Service Providers (CSPs) will cooperate together to advertise their services and prices to their end users, which may choose the one that best meets their budgetary and technical needs. Despite this benefit of having multiple CSPs to select from, several issues may arise. For instance, how does an IT entrepreneur select a CSP to offload his/her service request? How does the underlying Inter-Cloud system handle this service request? To address these questions, this thesis proposes a novel Optimal Cloud Broker design for Inter-Cloud Systems in the form of a Semi-Markov Decision Process (SMDP) based model. Under the long-run expected average cost criterion, the optimal policy is derived, which aim at maximizing the overall virtual machine utilization while giving the end users the best possible prices. The effectiveness of the proposed Broker design is validated by numerical results.

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 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.

SECURITY IN CLOUD COMPUTING IN INDIAN GOVERNMENT

2021 ◽  
Vol 12 (3) ◽  
Author(s):  
Nitin Vishnu Choudhari ◽  
Dr. Ashish B Sasankar
Keyword(s):  
Cloud Computing ◽  
Service Delivery ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Security ◽  
End Users ◽  
Security Architecture ◽  
Security Measures ◽  
End User ◽  
Cloud Service Providers

Abstract –Today Security issue is the topmost problem in the cloud computing environment. It leads to serious discomfort to the Governance and end-users. Numerous security solutions and policies are available however practically ineffective in use. Most of the security solutions are centered towards cloud technology and cloud service providers only and no consideration has been given to the Network, accessing, and device securities at the end-user level. The discomfort at the end-user level was left untreated. The security of the various public, private networks, variety of devices used by end-users, accessibility, and capacity of end-users is left untreated. This leads towards the strong need for the possible modification of the security architecture for data security at all levels and secured service delivery. This leads towards the strong need for the possible adaption of modified security measures and provisions, which shall provide secured hosting and service delivery at all levels and reduce the security gap between the cloud service providers and end-users. This paper investigates the study and analyze the security architecture in the Cloud environment of Govt. of India and suggest the modifications in the security architecture as per the changing scenario and to fulfill the future needs for the secured service delivery from central up to the end-user level. Keywords: Cloud Security, Security in GI Cloud, Cloud Security measures, Security Assessment in GI Cloud, Proposed Security for GI cloud

scholarly journals Eagle Techniques in Cloud Computational Formulation

2019 ◽  
Vol 8 (9S) ◽  
pp. 422-429
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Resource Sharing ◽  
Rough Set Theory ◽  
Service Providers ◽  
Service Selection ◽  
Cloud Service ◽  
End Users ◽  
Service Improvement ◽  
Major Drawback

The eagle expresses of cloud computing plays a pivotal role in the development of technology. In this computing world everyone is active so the end users and providers use various applications which are working as a broker for providing and managing the services. The aim of the paper is to solve the problems in such a way that brokers will provide an optimized solution for cloud service providers and the end users. The key role of allocating the efficient resources by making the algorithm which works for the time and cost optimization keeping in consideration of its quality of services and characteristics. These both are affecting the performance of these techniques is a major drawback due to low accuracy and large computational complexity of the algorithms. As per the scenario, the approach of the research is based on the rough set theory (RST). It’s a strategy to found the information revelation and handle the issues like number of parameters (Virtualization, resource sharing, cloud standardization etc). The rough set theory is the new method in cloud service selection so that the best services to provide for cloud users and efficient service improvement for cloud providers.

scholarly journals Core Nonemptiness of Stratified Pooling Games: A Structured Markov Decision Process Approach

2020 ◽  
Vol 45 (4) ◽  
pp. 1445-1465
Author(s):  
Loe Schlicher ◽  
Marco Slikker ◽  
Willem van Jaarsveld ◽  
Geert-Jan van Houtum
Keyword(s):  
Markov Decision Process ◽  
Cooperative Game ◽  
Decision Process ◽  
Service Providers ◽  
Spare Parts ◽  
High Tech ◽  
Long Run ◽  
Markov Decision ◽  
Coalitional Values ◽  
The Individual

We study several service providers that keep spare parts in stock to protect for downtime of their high-tech machines and that face different downtime costs per stockout. Service providers can cooperate by forming a joint spare parts pool, and we study the allocation of the joint costs to the individual service providers by studying an associated cooperative game. In extant literature, the joint spare parts pool is typically controlled by a suboptimal full-pooling policy. A full-pooling policy may lead to an empty core of the associated cooperative game, and we show this result in our setting as well. We then focus on situations where service providers apply an optimal policy: a stratification that determines, depending on the real-time on-hand inventory, which service providers may take parts from the pool. We formulate the associated stratified pooling game by defining each coalitional value in terms of the minimal long-run average costs of a Markov decision process. We present a proof demonstrating that stratified pooling games always have a nonempty core. This five-step proof is of interest in itself, because it may be more generally applicable for other cooperative games where coalitional values can be defined in terms of Markov decision processes.

scholarly journals Dynamic Pricing for Resource Consumption in Cloud Service

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Bin Cao ◽  
Kai Wang ◽  
Jinting Xu ◽  
Chenyu Hou ◽  
Jing Fan ◽  
...  
Keyword(s):  
Dynamic Pricing ◽  
Service Providers ◽  
Cloud Service ◽  
Resource Consumption ◽  
Pricing Model ◽  
Cloud Resource ◽  
The One ◽  
The Cost ◽  
Demand Service ◽  
Cloud Resources

This paper studies dynamic pricing for cloud service where different resources are consumed by different users. The traditional cloud resource pricing models can be divided into two categories: on-demand service and reserved service. The former only takes the using time into account and is unfair for the users with long using time and little concurrency. The latter charges the same price to all the users and does not consider the resource consumption of users. Therefore, in this paper, we propose a flexible dynamic pricing model for cloud resources, which not only takes into account the occupying time and resource consumption of different users but also considers the maximal concurrency of resource consumption. As a result, on the one hand, this dynamic pricing model can help users save the cost of cloud resources. On the other hand, the profits of service providers are guaranteed. The key of the pricing model is how to efficiently calculate the maximal concurrency of resource consumption since the cost of providers is dynamically varied based on the maximal concurrency. To support this function in real time, we propose a data structure based on the classical B+ tree and the implementation for its corresponding basic operations like insertion, deletion, split, and query. Finally, the experiment results show that we can complete the dynamic pricing query on 10 million cloud resource usage records within 0.2 seconds on average.

scholarly journals Implementing Fuzzy TOPSIS in Cloud Type and Service Provider Selection

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Aveek Basu ◽  
Sanchita Ghosh
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Service Providers ◽  
Multicriteria Decision Making ◽  
Leading Edge ◽  
Cloud Service ◽  
Fuzzy Topsis ◽  
End Users ◽  
Market Demand ◽  
Cloud Service Providers

Cloud computing can be considered as one of the leading-edge technological advances in the current IT industry. Cloud computing or simply cloud is attributed to the Service Oriented Architecture. Every organization is trying to utilize the benefit of cloud not only to reduce the cost overhead in infrastructure, network, hardware, software, etc., but also to provide seamless service to end users with the benefit of scalability. The concept of multitenancy assists cloud service providers to leverage the costs by providing services to multiple users/companies at the same time via shared resource. There are several cloud service providers currently in the market and they are rapidly changing and reorienting themselves as per market demand. In order to gain market share, the cloud service providers are trying to provide the latest technology to end users/customers with the reduction of costs. In such scenario, it becomes extremely difficult for cloud customers to select the best service provider as per their requirement. It is also becoming difficult to decide upon the deployment model to choose among the existing ones. The deployment models are suitable for different companies. There exist divergent criteria for different deployment models which are not tailor made for an organization. As a cloud customer, it is difficult to decide on the model and determine the appropriate service provider. The multicriteria decision making method is applied to find out the best suitable service provider among the top existing four companies and choose the deployment model as per requirement.

scholarly journals Multi-Cloud: A Comprehensive Review

2021 ◽  
Author(s):  
Hamza Ali Imran ◽  
Usama Latif ◽  
Ataul Aziz Ikram ◽  
Maryam Ehsan ◽  
Ahmed Jamal Ikram ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
End Users ◽  
End User ◽  
Comprehensive Review ◽  
Cloud Service Providers ◽  
Multiple Clouds ◽  
Multi Cloud ◽  
Internal Architecture

<div>In the span of a decade, innovations in cloud computing have led to a new understanding of computing to be used as a utility. Majority of cloud service providers are making the service better and competitive for end-user. Aside from the number of services introduced by these providers, users are feeling uneasy and are unaware of consequences while switching from one service to another. Internal architecture of the cloud makes it difficult for end-users to understand. To overcome this issue a new concept of multi-cloud has been introduced. In multi-cloud technology, we can use multiple clouds from different vendors without platform complexity. Hence summarized, Multi-cloud is the usage of autonomous cloud platforms with one interface which may clue to different administrative and implementation domains. This paper reviews the literature of recently presented solutions and architectures for multi-cloud platforms.</div>

scholarly journals EVALUATION OF CLOUD COMPUTING CLUSTER PERFORMANCE

T-Comm ◽  
2020 ◽  
Vol 14 (12) ◽  
pp. 72-79
Author(s):  
Aleksandr O. Volkov ◽  
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Service Providers ◽  
Poisson Model ◽  
Cloud Service ◽  
Computing System ◽  
Processor Sharing ◽  
Cloud Systems ◽  
Cloud Computing System

For cloud service providers, one of the most relevant tasks is to maintain the required quality of service (QoS) at an acceptable level for customers. This condition complicates the work of providers, since now they need to not only manage their resources, but also provide the expected level of QoS for customers. All these factors require an accurate and well-adapted mechanism for analyzing the performance of the service provided. For the reasons stated above, the development of a model and algorithms for estimation the required resource is an urgent task that plays a significant role in cloud systems performance evaluation. In cloud systems, there is a serious variance in the requirements for the provided resource, as well as there is a need to quickly process incoming requests and maintain the proper level of quality of service – all of these factors cause difficulties for cloud providers. The proposed analytical model for processing requests for a cloud computing system in the Processor Sharing (PS) service mode allows us to solve emerging problems. In this work, the flow of service requests is described by the Poisson model, which is a special case of the Engset model. The proposed model and the results of its analysis can be used to evaluate the main characteristics of the performance of cloud systems.

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