Integrating cost analysis in the cloud: A SoS approach

Filiopoulou, Evangelia; Mitropoulou, Persefoni; Tsadimas, Anargyros; Michalakelis, Christos; Νικολαϊδου, Μάρα; Anagnostopoulos, Dimosthenis

doi:10.1109/innovations.2015.7381554

Cited by 15 publications

(7 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The memory and the bandwidth of every job have the same range with the value of VMs. The number of instructions of every task has a range of [5,45] (5 means that a task needs 5 standard time units to execute it on a standard machine). The deadline of every job is a random integer in [1 6].…”

Section: Simulation Resultsmentioning

confidence: 99%

See 1 more Smart Citation

A parallel tasks Scheduling heuristic in the Cloud with multiple attributes

2018

KSII TIIS

View full text Add to dashboard Cite

There are two targets to schedule parallel jobs in the Cloud: (1) scheduling the jobs as many as possible, and (2) reducing the average execution time of the jobs. Most of previous work mainly focuses on the computing speed of resources without considering other attributes, such as bandwidth, memory and so on. Especially, past work does not consider the supply-demand condition from those attributes. Resources have different attributes, considering those attributes together makes the scheduling problem more difficult. This is the problem that we try to solve in this paper. First of all, we propose a new parallel job scheduling method based on a classification method of resources from different attributes, and then a scheduling method-CPLMT (Cloud parallel scheduling based on the lists of multiple attributes) is proposed for the parallel tasks. The classification method categories resources into different kinds according to the number of resources that satisfy the job from different attributes of the resource, such as the speed of the resource, memory and so on. Different kinds have different priorities in the scheduling. For the job that belongs to the same kinds, we propose CPLMT to schedule those jobs. Comparisons between our method, FIFO (First in first out), ASJS (Adaptive Scoring Job Scheduling), Fair and CMMS (Cloud-Minmin) are executed under different environments. The simulation results show that our proposed CPLMT not only reduces the number of unfinished jobs, but also reduces the average execution time.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

“…Recent researches in Cloud include reliability [1], resource virtualization [2], service selection [3], energy saving [4], cost analysis [5] and so on. This paper focuses on the scheduling of parallel tasks in Cloud.…”

Section: Introductionmentioning

confidence: 99%

A parallel tasks Scheduling heuristic in the Cloud with multiple attributes

2018

KSII TIIS

View full text Add to dashboard Cite

show abstract

“…O modelo de TCO inclui aquisição, gerenciamento e suporte de hardware e software, comunicações, despesas do usuário final e os custos com tempo de inatividade, treinamento e outras perdas de produtividade. Para Filiopoulou e seu grupo [8], a estimativa do custo total de propriedade, em particular, é um procedimento que fornece os meios para determinar o valor econômico total de um investimento, incluindo as despesas iniciais de capital (CAPEX, capital expenditure) e as despesas operacionais (OPEX, operational expenditure). No contexto de computação em nuvem, corresponde à estimativa de valores necessários para implementação e operação de uma infraestrutura de nuvem.…”

Section: Fontes De Custos Em Iaasunclassified

Cloud infrastructure for HPC investment analysis

Santos

Cavalheiro

2020

RITA

View full text Add to dashboard Cite

With the consolidation of cloud computing technology, there is a growing interest in exploring it to support High Performance Computing (HPC). However, migrating such applications to public or private cloud environments brings some challenges, in particular, the cost in financing the migration process. In this paper, a literature review is presented with selected papers about analyzing cloud infrastructure investments. In particular, the selected papers analyse how investments impact applications. For discussion of related works, conditions for running HPC applications in the cloud are characterized.

show abstract

“…Uma análise econômica da nuvem como um modelo de negócioé feita em [Filiopoulou et al 2015], onde são apresentados os parâmetros de maior impacto no custo de implantação da nuvem, montando um cenário de apoioà tomada de decisão. Já em [Sharma et al 2012], um modelo de nuvemé simulado, avaliando os custos de nuvem com diferentes opções de serviços, concluindo que os parâmetros operacionais impactam no modelo econômico-financeiro da nuvem.…”

Section: Introductionunclassified

Modelagem de Custo Total de Propriedade (TCO) de uma Infraestrutura Computacional em Nuvem

Falcão¹,

Pereira²,

Vieira³

et al. 2019

Anais Do Seminário Integrado De Software E Hardware (SEMISH)

View full text Add to dashboard Cite

A computação em nuvem, além de promover um modelo de armazena- mento e processamento de dados compartilhados, fortalece o potencial técnico-econômico do CSP (Cloud Service Provider), apresentando inúmeras possibilidades no âmbito computacional. Neste trabalho, é proposto um modelo de custo e um cenário de avaliação com base no TCO (Total Cost of Ownership), avaliando o contexto, aquisição e operação de equipamentos para implantação de infraestruturas em nuvem. Dessa forma, foi possı́vel especificar os principais ativos de infraestruturas tı́picas de nuvem e sobretudo, avaliar seu desempenho financeiro a partir de projeções de custos considerando aspectos que inferem diretamente no retorno de investimentos de um Data Center.

show abstract

Integrating cost analysis in the cloud: A SoS approach

Cited by 15 publications

References 13 publications

A parallel tasks Scheduling heuristic in the Cloud with multiple attributes

A parallel tasks Scheduling heuristic in the Cloud with multiple attributes

Cloud infrastructure for HPC investment analysis

Modelagem de Custo Total de Propriedade (TCO) de uma Infraestrutura Computacional em Nuvem

Contact Info

Product

Resources

About