A Pluggable Autoscaling Service for Open Cloud PaaS Systems

Bunch, Chris; Arora, Vaibhav; Chohan, Navraj; Krintz, Chandra; Hegde, Shashank; Srivastava, Ankit

doi:10.1109/ucc.2012.12

Cited by 19 publications

(10 citation statements)

References 7 publications

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“…These include the use of MAPE (Monitoring, Analysis, Planning, Execution) loop for the management of cloud infrastructures [57]. Although the majority of works have focused on the Infrastructure as a Service (IaaS) layer some QoS aspects have also been considered at other layers such Platform as a Service (PaaS) [62], [63]. But, many challenges remain as PaaS interacts with both IaaS and SaaS (Software as a Service) with considerable focus on the QoS of the infrastructure [64].…”

Section: Resource Management and Load Balancingmentioning

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: Resource Management and Load Balancingmentioning

confidence: 99%

A Requirement-Driven Mechanism for the Management of Distributed Infrastructures

Khaddaj

Makoond

2019

IEEE Trans. Serv. Comput.

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“…Xavier et al [7] Xavier et al [8] Negralo et al [9] Gong et al [10] Shen et al [11] Han et al [12] This paper has been accepted for presentation in CCNC 2018 -15th IEEE Consumer Communications & Networking Conference to be held on 12-15 January, 2018, Las Vegas, USA. This is an author copy.…”

Section: Iaas Solutionsmentioning

confidence: 99%

ADS: Adaptive and dynamic scaling mechanism for multimedia conferencing services in the cloud

Soltanian¹,

Naboulsi²,

Salahuddin

et al. 2018

2018 15th IEEE Annual Consumer Communications &Amp; Networking Conference (CCNC)

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Multimedia conferencing is used extensively in a wide range of applications, such as online games and distance learning. These applications need to efficiently scale the conference size as the number of participants fluctuates. Cloud is a technology that addresses the scalability issue. However, the proposed cloud-based solutions have several shortcomings in considering the future demand of applications while meeting both Quality of Service (QoS) requirements and efficiency in resource usage. In this paper, we propose an Adaptive and Dynamic Scaling mechanism (ADS) for multimedia conferencing services in the cloud. This mechanism enables scalable and elastic resource allocation with respect to the number of participants. ADS produces a cost efficient scaling schedule while considering the QoS requirements and the future demand of the conferencing service. We formulate the problem using Integer Linear Programming (ILP) and design a heuristic for it. Simulation results show that ADS mechanism elastically scales conferencing services. Moreover, the ADS heuristic is shown to outperform a greedy algorithm from a resource-efficiency perspective.

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“…The topic of load balancing has been extensively studied. For instance, load balancing techniques for PaaS cloud system were investigated previously [11] [12]. In general, a load-balancer distributes workloads among a set of worker nodes, based on the periodically updated status of each node in a cluster.…”

Section: Related Workmentioning

confidence: 99%

Enabling elastic services for OSGi-based cloud platforms

Kim

Lee

Helal

2015

2015 Seventh International Conference on Ubiquitous and Future Networks

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This paper presents an architectural design of elastic service frameworks based on OSGi service platforms. Loadbalancing and auto-scaling features, among others, are considered as the most essential to enabling the elasticity of cloud services. Our proposal extends OSGi Remote Service Admin Specification to add load balancing capability, so that service developers can use it as a system service, i.e., without knowing the internal details. The proposed approach is validated through a proof-of-concept prototype implementation and evaluation.

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A Pluggable Autoscaling Service for Open Cloud PaaS Systems

Cited by 19 publications

References 7 publications

A Requirement-Driven Mechanism for the Management of Distributed Infrastructures

A Requirement-Driven Mechanism for the Management of Distributed Infrastructures

ADS: Adaptive and dynamic scaling mechanism for multimedia conferencing services in the cloud

Enabling elastic services for OSGi-based cloud platforms

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