A QoS Based Load Balancing Framework for Large Scale Elastic Distributed Systems

Nguyen, Van‐Giang; Khaddaj, Souheil; Hoppe, Andreas; Oppong, Eric

doi:10.1109/dcabes.2011.12

Cited by 4 publications

(1 citation statement)

References 16 publications

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“…Although there have been several attempts at designing distributed management systems with QoS driven scheduling algorithms [11], [12], [13], [14], [15], the majority suffer from the fact that they are mainly system-centric and do not necessarily meet the wide range of user requirements and their expectations to obtain a high quality of service, i.e. they are not user-centric, indeed many distributed systems historically have weighed heavily on one requirement namely performance and more recently on availability.…”

Section: Introductionmentioning

confidence: 99%

A Requirement-Driven Mechanism for the Management of Distributed Infrastructures

Khaddaj

Makoond

2019

IEEE Trans. Serv. Comput.

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Abstract-The emergence of new service oriented distributed models has raised a number of challenges particularly in relation to the management of distributed infrastructures in dynamic environments, such as the Cloud with changing availability of resources, services and quality of services. In such an environment it is very important that users and applications have some level of assurance that their requirements can be satisfied while trying to optimize the usage of the available resources. This paper presents a new requirement-driven decision making mechanism that is based on a quality assured load balancer for distributed computing systems. We evaluate the approach and demonstrate how it can adapt to user requirements and to the capacity of available resources.

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Section: Introductionmentioning

confidence: 99%

A Requirement-Driven Mechanism for the Management of Distributed Infrastructures

Khaddaj

Makoond

2019

IEEE Trans. Serv. Comput.

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Fault Tolerant Multiple Synchronized Parallel Load Balancing in Cloud

Sreelekshmi¹,

Babu²

2018

Hybrid Intelligent Systems

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Time sliced and priority based load balancer

Shahapure

Jayarekha²

2015

2015 IEEE International Advance Computing Conference (IACC)

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Rapid increase in the demand for scientific, business and web applications has led to large scale computation. Cloud computing has emerged as a scalable, reliable, affordable, flexible source for such type of applications. The need to mange such applications require proper load balancing and scheduling techniques. These techniques are different from the algorithms used for distributed computing. This is mainly due to the high scalability and high availability in the cloud environment. The proposed algorithm based on load balancing is presented in this paper. The principle of time scheduling and priority is utilized. The approach implements division of time into multiple slices and allocating each process to particular time interval based on priority. The processor serves the user request within the allotted time slot. At the end of the time slice, the next queued user request is ready for execution. The user exits from the queue upon completion of user request, otherwise user waits for its next slot. The increase in waiting time increases the time slot the user requests gets in the virtual machine. This reduces the overhead of context switching.

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A QoS Based Load Balancing Framework for Large Scale Elastic Distributed Systems

Cited by 4 publications

References 16 publications

A Requirement-Driven Mechanism for the Management of Distributed Infrastructures

A Requirement-Driven Mechanism for the Management of Distributed Infrastructures

Fault Tolerant Multiple Synchronized Parallel Load Balancing in Cloud

Time sliced and priority based load balancer

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