Load balancing for clusters of VOD servers

Huang, Yin-Fu; Fang, Chih-Chiang

doi:10.1016/j.ins.2003.10.005

Cited by 17 publications

(3 citation statements)

References 20 publications

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“…In [29] [30], mobile agents are used in load balancing techniques of a distributed system. The migration method is also effective in video-on-demand (VOD) systems [31]. However, the overhead in performing migration is the main drawback of a migration technique.…”

Section: Resource Allocation and Migrationmentioning

confidence: 99%

Dynamic Service Assignment based on Proportional Ordering for the Adaptive Resource Management of Cloud Systems

Mateo¹,

Lee²

2011

KSII TIIS

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The key issue in providing fast and reliable access on cloud services is the effective management of resources in a cloud system. However, the high variation in cloud service access rates affects the system performance considerably when there are no default routines to handle this type of occurrence. Adaptive techniques are used in resource management to support robust systems and maintain well-balanced loads within the servers. This paper presents an adaptive resource management for cloud systems which supports the integration of intelligent methods to promote quality of service (QoS) in provisioning of cloud services. A technique of dynamically assigning cloud services to a group of cloud servers is proposed for the adaptive resource management. Initially, cloud services are collected based on the excess cloud services load and then these are deployed to the assigned cloud servers. The assignment function uses the proposed proportional ordering which efficiently assigns cloud services based on its resource consumption. The difference in resource consumption rate in all nodes is analyzed periodically which decides the execution of service assignment. Performance evaluation showed that the proposed dynamic service assignment (DSA) performed best in throughput performance compared to other resource allocation algorithms.

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Section: Resource Allocation and Migrationmentioning

confidence: 99%

Dynamic Service Assignment based on Proportional Ordering for the Adaptive Resource Management of Cloud Systems

Mateo¹,

Lee²

2011

KSII TIIS

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“…Constraints (4) state that each node either stores a program or receives it from another node that stores it. Finally, constraints (5) imply that a program can be transmitted from a node only if the program is stored at that node. Constraints ( 6) impose integrality restrictions on the decision variables.…”

Section: Problem Definition and Formulationmentioning

confidence: 99%

“…They refer to this problem as the video placement and routing problem (VPRP) and describe heuristic approaches for its solution. Finally, Huang and Fang [5] propose a dynamic load balancing algorithms among the servers in a multi-server VoD system. Through simulations, the authors demonstrate that their algorithms perform well on an example network.…”

Section: Introductionmentioning

confidence: 99%

A Lagrangean relaxation and decomposition algorithm for the video placement and routing problem

Bektaş

Oğuz

Ouveysi

2007

European Journal of Operational Research

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Video on demand (VoD) is a technology used to provide a number of programs to a number of users on request. In developing a VoD system, a fundamental problem is load balancing, which is further characterized by optimally placing videos to a number of predefined servers and routing the user program requests to available resources. In this paper, an exact solution algorithm is described to solve the video placement and routing problem. The algorithm is based on Lagrangean relaxation and decomposition. The novelty of the approach can be described as the use of integer programs to obtain feasible solutions in the algorithm. Computational experimentation reveals that for randomly generated problems with up to 100 nodes and 250 videos, the use of such integer programs help greatly in obtaining good quality solutions (typically within 5% of the optimal solution), even in the very early iterations of the algorithm. © 2006 Elsevier B.V. All rights reserved

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Content Awareness inIPTVDelivery Networks

Fati¹,

Sumari²

2018

IPTV Delivery Networks

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Load balancing for clusters of VOD servers

Cited by 17 publications

References 20 publications

Dynamic Service Assignment based on Proportional Ordering for the Adaptive Resource Management of Cloud Systems

Dynamic Service Assignment based on Proportional Ordering for the Adaptive Resource Management of Cloud Systems

A Lagrangean relaxation and decomposition algorithm for the video placement and routing problem

Content Awareness inIPTVDelivery Networks

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