Cost Optimization for Dynamic Content Delivery in Cloud-Based Content Delivery Network

2021 ◽  
Vol 14 (4) ◽  
pp. 18-32
Author(s):  
S. Sajitha Banu ◽  
S. R. Balasundaram
Keyword(s):  
Cost Minimization ◽  
Cost Optimization ◽  
Data Retrieval ◽  
Content Delivery ◽  
Cloud Services ◽  
Content Delivery Network ◽  
Rapid Generation ◽  
Delivery Networks ◽  
The Cost

Cloud computing is a technology to store, process, and manage the data virtually over remote data centers through the internet. Due to the rapid growth of cloud services, the content distribution network broadly uses them to deliver data all over the globe. Due to the rapid generation of the data, delivering on the network is a challenging problem. As the number of replicas increases, the storage cost will be increased. This is a major issue in cloud-based content delivery networks. To overcome this issue, the authors developed a new model for cloud-based CDN with cost optimization algorithm STLM (storage, traffic, latency, cost minimization) to reduce the number of replicas in order to optimize the cost of storage and cost of content delivery. The authors have compared their proposed STLM algorithm with other existing algorithms. They adopt simulation with YouTube e-learning data retrieval. The proposed algorithm is used to place the contents in an efficient way to the geologically dispersed proxy servers in the cloud to encounter quality of service (QoS) and quality of experience (QoE).

Content Delivery Networks – A Survey

2017 ◽  
Vol 7 (7) ◽  
pp. 228 ◽  
Author(s):  
S. Dhanalakshmi ◽  
T. Prabakaran ◽  
Krishna Kishore
Keyword(s):  
Content Delivery ◽  
The Internet ◽  
Web Content ◽  
Content Delivery Network ◽  
Content Delivery Networks ◽  
The World ◽  
And Performance ◽  
Delivery Networks ◽  
The Web

Content Delivery Network is a network of servers hosted by a service provider in multiple locations of the world so that the content could deliver from a server that is nearest to the consumer requesting for it. It has evolved to overcome the inherent limitations of the internet regarding user perceived Quality of Service (QoS) when accessing the Web Content. It has been proposed to maximize bandwidth, improve accessibility and maintain correctness through content replication. The content is distributed to cache servers and located close to the users, resulting in fast, reliable applications and web services for the users. In this paper we provide a components, technologies and comprehensive taxonomy with a broad coverage of CDNs regarding the organizational structure, content distribution mechanisms, request redirection techniques, and performance measurement methodologies.

Cost Effective Approaches for Content Placement in Cloud CDN Using Dynamic Content Delivery Model

2018 ◽  
Vol 8 (3) ◽  
pp. 78-117
Author(s):  
S. Sajitha Banu ◽  
S.R. Balasundaram
Keyword(s):  
Cost Optimization ◽  
Cost Effective ◽  
Content Delivery ◽  
Optimization Techniques ◽  
Replica Placement ◽  
Content Delivery Network ◽  
Delivery Cost ◽  
Delivery Model ◽  
Content Placement

Cloud providers give storage access and efficient content placement and delivery services to content providers by optimizing cloud-based content delivery. The cost-efficient model should not only consider the content delivery cost but also the storage cost associated with the cloud network. In this article, a novel cloud-based content delivery model is proposed that uses shared storage models for cost optimization in content delivery. Shared storages are placed in different areas of the content delivery network and an efficient replica placement strategy is employed using optimization techniques. Different content delivery schemes are used in proposed model for different situations and overall content delivery cost is optimized. Experimental results show better performance and lesser cost in terms of storage, traffic and latency and also satisfy Quality-of-Service (QoS) and Quality-of-Experience (QoE) in content delivery using PSO when compared to ACO and GA.

Integration of Multiple Cache Server Scheme for User-Based Fuzzy Logic in Content Delivery Networks

2020 ◽  
pp. 386-396 ◽  
Author(s):  
Manoj Kumar Srivastav ◽  
Robin Singh Bhadoria ◽  
Tarasankar Pramanik
Keyword(s):  
Fuzzy Logic ◽  
Modern Society ◽  
Content Delivery ◽  
The Internet ◽  
Content Delivery Network ◽  
Content Delivery Networks ◽  
Delivery Networks ◽  
The Cost ◽  
The Mathematical Model ◽  
To Receive

The internet plays important role in the modern society. With the passage of time, internet consumers are increasing. Therefore, the traffic loads during communication between client and its associated server are getting complex. Various networking systems are available to send the information or to receive messages via the internet. Some networking systems are so expensive that they cannot be used for the regular purpose. A user always tries to use that networking system that works on expansion of optimizing the cost. A content delivery network (CDN) also called as content distribution network has been developed to manage better performance between client and list of available servers. This chapter presents the mathematical model to find optimization among client and cache server during delivery of content based on fuzzy logic.

scholarly journals Technical analysis of content placement algorithms for content delivery network in cloud

2022 ◽  
Vol 12 (1) ◽  
pp. 489
Author(s):  
Suman Jayakumar ◽  
Prakash Sheelvanthmath ◽  
Channappa Baslingappa Akki
Keyword(s):  
Quality Of Experience ◽  
Content Delivery ◽  
Content Delivery Network ◽  
Content Placement ◽  
Placement Algorithm ◽  
The Cost ◽  
Precise Content ◽  
Design Aspect ◽  
Delivery Network

<p>Content placement algorithm is an integral part of the cloud-based content de-livery network. They are responsible for selecting a precise content to be re-posited over the surrogate servers distributed over a geographical region. Although various works are being already carried out in this sector, there are loopholes connected to most of the work, which doesn't have much disclosure. It is already known that quality of service, quality of experience, and the cost is always an essential objective targeting to be improved in existing work. Still, there are various other aspects and underlying reasons which are equally important from the design aspect. Therefore, this paper contributes towards reviewing the existing approaches of content placement algorithm over cloud-based content delivery network targeting to explore open-end re-search issues.</p>

Improving Client-Perceived Performance Based on Efficient Distribution of Contents in Content Delivery Network

2019 ◽  
Vol 16 (9) ◽  
pp. 3874-3878
Author(s):  
Meenakshi Gupta ◽  
Atul Garg
Keyword(s):  
Content Delivery ◽  
End Users ◽  
Web Content ◽  
Content Delivery Network ◽  
Web Performance ◽  
Perceived Performance ◽  
The Cost ◽  
Efficient Distribution ◽  
Delivery Network

Content Delivery Network (CDN) system aims to upgrade the performance of content delivery to end-users of popular websites. It replicates the contents at different geographic locations to serve from the point closer to them. It supports to bring network and as a result web performance to next level. For proper utilization of CDN resources, it is significant to efficiently distribute popular contents over surrogate servers. Most of the CDNs have a large number of surrogate servers. This requires coordination between the surrogate servers to improve overall capability of a CDN system while limiting the cost. This paper suggests a technique to efficiently distribute contents over surrogate servers that cooperate with one another to improve quality of service (QoS) of web content delivery to clients (end-users) in terms of response time.

Implementation of Meta-Services for Content Delivery Network Service in the Cloud Environment

2012 ◽  
Vol 241-244 ◽  
pp. 3053-3058
Author(s):  
Xiao Ying Wang ◽  
Xin Jin ◽  
Li Hua Fan ◽  
Wei Tong Huang
Keyword(s):  
Content Delivery ◽  
Cloud Services ◽  
Cloud Environment ◽  
Content Delivery Network ◽  
Network Service ◽  
Detailed Design ◽  
Management Issues ◽  
Delivery Network

As the content delivery network becomes widely-used, storage has emerged as a typical kind of service in the cloud environment. This paper conducted a research on the management issues for such applications, and implemented some meta-services upon the underlying cloud services. The architecture of the system was described in detailed and the detailed design of four types of meta-services was further discussed. Experiments show that the implemented prototype can work effectively and meaningful suggestions could be given according to users’ requests, and thus depict the advantages of employing the proposed meta-services.

Does Congestion Always Hurt? Managing Discount Under Congestion in a Game-Theoretic Setting

2021 ◽  
Author(s):  
Rajib L. Saha ◽  
Sumanta Singha ◽  
Subodha Kumar
Keyword(s):  
Web Services ◽  
Lower Cost ◽  
End Users ◽  
Cloud Services ◽  
Key Factors ◽  
Amazon Web Services ◽  
Game Theoretic ◽  
Potential Loss ◽  
The Cost

Many firms buy cloud services from cloud vendors, such as Amazon Web Services to serve end users. One of the key factors that affect the quality of cloud services is congestion. Congestion leads to a potential loss of end users, resulting in lower demand for cloud services. Although discount can stimulate demand, its effect under congestion is ambiguous; a higher discount leads to higher demand, but it can further lead to higher congestion, thereby lowering demand. We explore how congestion moderates both cloud vendor pricing and the buyer’s fulfillment decisions. We seek to answer how the congestion sensitivity of the end users and the cost of technology impact buyer profitability and the cloud vendor’s choice of discount. We also examine how the cost of technology determines the buyer’s willingness to pass on savings to end users. Our results show that the buyer is not necessarily worse off even when the end users are more intolerant to congestion. In fact, when end users are more congestion sensitive, the demand for cloud services can sometimes increase, and the discount offered by the vendor can decrease. We also observe that a lower cost of technology can sometimes hurt the buyer, and the buyer can pass on lower benefits to end users.

The Optimization Research of Concrete Mixing Station Location

2014 ◽  
Vol 716-717 ◽  
pp. 439-442
Author(s):  
Mei Lu ◽  
Mao Feng Li ◽  
Xue Li
Keyword(s):  
Supply Chain ◽  
Cost Minimization ◽  
Location Model ◽  
Delivery Service ◽  
Objective Model ◽  
Important Position ◽  
The Cost ◽  
Station Location ◽  
Concrete Mixing Station

Concrete mixing station location occupies a very important position in the supply chain of the commercial concrete, location not only affects the cost, but the level of quality of concrete delivery service. In view of the traditonal location model only pursuing the cost minimization and neglecting serive level, the reliability is introduced into location model as a standard of concrete delivery service, to establish a multi-objective model which uses the cost minimization and reliability maximization as the objective function. Finally, the effectiveness of the model was confirmed by a numerical example.

Automatic Detection of Grid Delivery Services Using a Real-Time Monitoring System

2014 ◽  
Vol 610 ◽  
pp. 633-637
Author(s):  
Yeo Neo Kim ◽  
Gun Woo Kim ◽  
Gyun Woo
Keyword(s):  
Operating System ◽  
Content Delivery ◽  
Simple Approach ◽  
Automatic Method ◽  
Network Resources ◽  
Content Delivery Networks ◽  
Delivery Services ◽  
Network Usage ◽  
Delivery Networks

Though Grid Delivery Services (GDSs) can promote Quality of Service (QoS) in Content Delivery Networks (CDNs), some of them may degrade the performance of the client computers by consuming the network resources. The worst part of GDSs is that some of them are registered as system services and executed automatically when the operating system boots up. Since GDSs are not classified as malware, it is extremely hard to detect them automatically even when the user wants to remove them. This paper proposes an automatic method to detect GDSs by monitoring the network usage of all the processes. We include empirical evidence to indicate this approach is effective even though it adopts an extremely simple approach.

scholarly journals Quality of Service (QoS) Optimization in Mobile Broadband Using Cloud-Based Content Delivery Network

2020 ◽  
pp. 683-697
Author(s):  
Folasade Ayankoya ◽  
Olubukola Ajayi ◽  
Blaise Ohwo
Keyword(s):  
Quality Of Service ◽  
Network Models ◽  
Content Delivery ◽  
Long Term Evolution ◽  
Content Delivery Network ◽  
Mobile Broadband ◽  
Term Evolution ◽  
Delivery Network

Mobile broadband utilizing Long-Term Evolution (LTE) has advanced the field of data transmission; with networks capable of providing broadband speeds to mobile broadband users. There has been a sporadic increase in the utilization of Long-Term Evolution (LTE) networks, but due to the rapid growth and utilization of network links and network services, certain issues begin to rise, such as the issue of poor Quality of Service (QoS) perceived by mobile users. Data network quality of service degrades over time when network cannot keep up with the growing demand for the network resources. The research reviewed various existing content delivery network models in order to understand the overall architecture and operations. An optimized model was developed and integrated into the existing Long-Term Evolution network models. The model was evaluated using the Network Simulator (NS-3) and Quality of Service (QoS) metrics, such as, Network Throughput, Round Trip Time, Bandwidth, Packet Loss, Jitter and Connection Ratio. The results obtained from the simulations showed that the optimized model performed better and more efficiently than previous solutions. And if implemented in Mobile Broadband, this will improve the Quality of Service, network throughput and overall performance of the network. This study concluded that cloud-based content delivery network provides a solution which would help improve the Quality of Service experience by Mobile Broadband subscribers. By actively redirecting network traffic to the nearest replica server on the network edge; thus, increasing efficiency and throughput.

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