An OpenFlow-Based Elastic Solution for Cloud-CDN Video Streaming Service

Rego, Paulo A. L.; Bonfim, Michel; Ortiz, Marcos D.; Bezerra, Jeandro M.; Campelo, Divanilson R.; Souza, José Neuman de

doi:10.1109/glocom.2014.7417789

Cited by 3 publications

(4 citation statements)

References 19 publications

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“…Third, delivery techniques (e.g., HLS and MPEG-DASH) [31] are used to adapt the stream quality to the network condition. Lastly, to reduce latency, Content Delivery Network (CDN) technology [32] is used to cache streams near viewers. Accordingly, the viewer's QoS is defined as the ability to stream each segment within its allowed latency time to create an uninterrupted streaming experience.…”

Section: B Multimedia Streamingmentioning

confidence: 99%

SMSE: A Serverless Platform for Multimedia Cloud Systems

Denninnart¹,

Salehi²

2022

Preprint

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Along with the rise of domain-specific computing (ASICs hardware) and domain-specific programming languages, we envision that the next step is the emergence of domainspecific cloud platforms. Developing such platforms for popular applications in the serverless manner, not only can offer a higher efficiency to both users and providers, it can also expedite the application development cycles and enable users to become solution-oriented and focus on their specific business logic. Considering multimedia streaming as one of the most trendy applications in the IT industry, the goal of this study is to develop SMSE, the first domain-specific serverless platform for multimedia streaming. SMSE democratizes multimedia service development via enabling content providers (or even end-users) to rapidly develop their desired functionalities on their multimedia contents. Upon developing SMSE, the next goal of this study is to deal with its efficiency challenges and develop a function container provisioning method that can efficiently utilize cloud resources and improve the users' QoS. In particular, we develop a dynamic method that provisions durable or ephemeral containers depending on the spatiotemporal and data-dependency characteristics of the functions. Evaluating the prototype implementation of SMSE under real-world settings demonstrates its capability to reduce both the containerization overhead, and the makespan time of serving multimedia processing functions (by up to 30%) in compare to the function provision methods that are being used in the general-purpose serverless cloud systems.

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Section: B Multimedia Streamingmentioning

confidence: 99%

SMSE: A Serverless Platform for Multimedia Cloud Systems

Denninnart¹,

Salehi²

2022

Preprint

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“…Several works have investigated the construction of multimedia systems on the cloud (Chamorro et al, 2016;Poddar et al, 2015;Rego et al, 2015) focusing only on unique aspects such as the QoS bottleneck. An intra-cloud load balancer is proposed in Poddar et al (2015).…”

Section: Related Workmentioning

confidence: 99%

“…Furthermore, it provides resiliency in the continuity of delivery of data flows between consumer entities, even in a scenario of failure of network elements. Rego et al (2015) proposed a load balancing for media servers and compared it to another proxy approach named HAProxy, which works as a proxy over TCP packets and HTTP-based applications. Their work pursues the hypothesis of the difficulty to handle UDP load balancer; to this end they bring an SDN approach.…”

Section: Related Workmentioning

confidence: 99%

A smart network and compute-aware Orchestrator to enhance QoS on cloud-based multimedia services

Moreira

Silva

Rosa

et al. 2020

IJGUC

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Rich-media applications deployed on cloud lead the use of the internet by people and organisations around the world. The advent of Software-Defined Networking (SDN), Networking Function Virtualisation (NFV), and Machine Learning (ML) techniques brings new possibilities to address carrier environment challenges, especially QoS. The literature does not show a smart and flexible solution that brings scalability with holistic management of network, compute, and application resources taking into account different approaches to enhance QoS. This paper presents the Orchestrator that manages agnostic network, compute, and applications resources hosted in the cloud. Through ML algorithms, our solution enhances QoS towards network resilience, bandwidth allocation based on real-time traffic, and end-to-end QoS mechanism to the event-driven scenario. The Orchestrator operation spans across different domains providing applications, virtual functions, and cloud resources management elastically. Our experimental evaluation in a large-scale testbed shows Orchestrator's capability to provide a smart jitter decrease using AI techniques.

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“…Vários trabalhos investigam a construção de sistemas multimídia sobre nuvem (CH A MORRO; CASTILLO; LOPEZ-PIRES, 2016; PODDAR; VISHNOI;MANN, 2015;REGO et al, 2015).Em Chamorro, Castillo e Lopez-Pires (2016) os autores apresentam uma solução auto scaling de serviços VoIP. Os serviços ofertados são sinalização e proxy de chamadas em curso.…”

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Um orquestrador flexível de recursos de rede e computação para o aprimoramento de qualidade de serviço (QoS) em aplicações multimídia baseadas em funções virtualizadas de rede (NFV)

Moreira¹

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People and organizations around the globe use multimedia applications for interaction and communication. There is notable traffic growth characteristic of these applications since there is a convergence of voice and data for a single transport model. Computer networks, because they support such applications, meet the challenges and business op portunities that operators have taken advantage of. On the other hand, users use services with increasingly refined qualities, nevertheless, there are aspects that must be addressed to raise the quality of experience for users when consuming services offered over the inter net. QoS metrics are usually user-based or network-based, hence concepts such as NFV and SDN allow to improve and expand the perspective of offering an abstraction layer for the development of flexible solutions that deal with multimedia applications offered in the cloud. Nevertheless, the construction of these solutions must be based on intrinsic aspects to the Future Internet concept that advocates virtualized solutions, flexible, convergent, scalable, context-aware, secure and better managed. This dissertation proposes an approach to mitigate the distance of the applications with the resources of compute and network. Usually, the applications are unaware of the hardware characteristics on which they operate, as for the network, even with several efforts at various levels of the protocol stack, the specificities of running applications are unknown. There is also challenges of managing global resources, integrating policies and service agreements between operators. This work aims to add a management layer to raise the levels of QoS for multimedia applications based on NFV. To accomplish this, an entity that acts on the data and control plane is proposed, capable of orchestrating network and computing resources simultaneously to enhance QoS in multimedia appli cations. The incorporation of this entity achieves QoS improvement through resiliency in the end-to-end communication of the consumer entity of these applications, provides adequate load balancing in order to avoid compromising QoS parameters such as response time, provides on-demand scalability, improves the concept of package inspection for the segmentation of application-oriented network policies, and finally performs the separation of data and control plane. The construction and experimentation of the solution allowed to reduce response times in the multimedia applications. The solution reacted adequately to heterogeneous workloads in order to provide reliability for QoS guarantee. Further more, the concept of packet inspection was able to act to decrease the distance that the applications have from the network and the hardware on which they operate.

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An OpenFlow-Based Elastic Solution for Cloud-CDN Video Streaming Service

Cited by 3 publications

References 19 publications

SMSE: A Serverless Platform for Multimedia Cloud Systems

SMSE: A Serverless Platform for Multimedia Cloud Systems

A smart network and compute-aware Orchestrator to enhance QoS on cloud-based multimedia services

Um orquestrador flexível de recursos de rede e computação para o aprimoramento de qualidade de serviço (QoS) em aplicações multimídia baseadas em funções virtualizadas de rede (NFV)

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