SLA-Based Profit Optimization in Cloud Bursting PaaS

Dib, Djawida; Parlavantzas, Nikos; Morin, Christine

doi:10.1109/ccgrid.2014.78

Cited by 9 publications

(2 citation statements)

References 17 publications

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“…Considering the actual state of services, it is possible to incorporate specific operational targets, such as a service level agreement (SLA) and service level objective (SLO), as a guide for scaling. In commercial systems, QoS-based approaches are adopted that solve optimization problems to maximize QoS while minimizing operational costs according to policy of each service provider [11][12][13]. Operational costs include QoS violation penalties, power consumption and time to migrate/replicate VMs as well as pricing of computing resources.…”

Section: Problem Of Observing the Dynamics Of Server Systemsmentioning

confidence: 99%

Analysis of the Macroscopic Behavior of Server Systems in the Internet Environment

et al. 2017

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Elasticity is one of the key features of cloud-hosted services built on virtualization technology. To utilize the elasticity of cloud environments, administrators should accurately capture the operational status of server systems, which changes constantly according to service requests incoming irregularly. However, it is difficult to detect and avoid in advance that operating services are falling into an undesirable state. In this paper, we focus on the management of server systems that include cloud systems, and propose a new method for detecting the sign of undesirable scenarios before the system becomes overloaded as a result of various causes. In this method, a measure that utilizes the fluctuation of the macroscopic operational state observed in the server system is introduced. The proposed measure has the property of drastically increasing before the server system is in an undesirable state. Using the proposed measure, we realize a function to detect that the server system is falling into an overload scenario, and we demonstrate its effectiveness through experiments.

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Section: Problem Of Observing the Dynamics Of Server Systemsmentioning

confidence: 99%

Analysis of the Macroscopic Behavior of Server Systems in the Internet Environment

et al. 2017

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“…Similar to Merkat, Meryn [57] is a PaaS that supports new application types through a decentralized resource control: resources are allocated among frameworks with consideration to the SLO and cost of the applications managed by them. Merkat is different from Meryn in two ways: (i) it allocates virtual environments per application while Meryn allocates them per framework; (ii) and it focuses on managing contention on a private infrastructure by implementing a virtual economy while Meryn uses cloud bursting to offload its workload in public clouds while optimizing the PaaS provider's profit.…”

Section: Paas Systemsmentioning

confidence: 99%

Market-based autonomous resource and application management in private clouds

Costache

Kortas

Morin

et al. 2017

Journal of Parallel and Distributed Computing

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High Performance Computing (HPC) clouds need to be efficiently shared between selfish tenants having applications with different resource requirements and Service Level Objectives (SLOs). The main difficulty relies on providing concurrent resource access to such tenants while maximizing the resource utilization. To overcome this challenge, we propose Merkat, a market-based SLO-driven cloud platform. Merkat relies on a market-based model specifically designed for on-demand fine-grain resource allocation to maximize resource utilization and it uses a combination of currency distribution and dynamic resource pricing to ensure proper resource distribution among tenants. To meet the tenant's SLO, Merkat uses autonomous controllers, which apply adaptation policies that: (i) dynamically tune the application's provisioned CPU and memory per virtual machine in contention periods, or (ii) dynamically change the number of virtual machines. Our evaluation with simulation and on the Grid'5000 testbed shows that Merkat provides flexible support for different application types and SLOs and good tenant satisfaction compared to existing centralized systems, while the infrastructure resource utilization is improved.

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SLA‐based PaaS profit optimization

Dib

Parlavantzas

Morin

2017

Concurrency and Computation

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International audienceThe socioeconomic impact of cloud solutions and particularly PaaS (platform as a service) solutions is becoming increasingly critical. The main objective of PaaS providers is to generate the maximum profit from the services they provide. This requires them to face a number of challenges such as efficiently managing the underlying resources and satisfying the SLAs of the hosted applications. In this paper, we consider a cloud-bursting PaaS environment where the PaaS provider owns some private resources and is able to rent public cloud resources on demand. In that context, we propose a profit-efficient solution for managing such a system under SLA constraints. We define a profit optimization policy that evaluates the cost of hosting each application using public and private resources and chooses the option that generates the highest profit. During peak periods, the optimization policy considers two more options. The first option is to obtain some resources from running applications, taking into account the payment of penalties if their promised quality of service is affected. The second option is to wait until private resources become available, taking into account the payment of penalties if the quality of service promised to the new application is affected. Furthermore, we designed and implemented an open cloud-bursting PaaS system, called Meryn, which integrates the proposed optimization policy and provides support for batch and MapReduce applications. The results of our evaluation show the effectiveness of our approach in optimizing the provider profit. Indeed, compared to a basic approach, our approach provides up to 11.59% and 9.02% more provider profit in, respectively, simulations and experiments

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SLA-Based Profit Optimization in Cloud Bursting PaaS

Cited by 9 publications

References 17 publications

Analysis of the Macroscopic Behavior of Server Systems in the Internet Environment

Analysis of the Macroscopic Behavior of Server Systems in the Internet Environment

Market-based autonomous resource and application management in private clouds

SLA‐based PaaS profit optimization

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