Resource management in cloud computing: Taxonomy, prospects, and challenges

Mustafa, Saad; Nazir, Babar; Hayat, Amir; Khan, Atta ur Rehman; Madani, Sajjad A.

doi:10.1016/j.compeleceng.2015.07.021

Cited by 172 publications

(104 citation statements)

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“…Há diversos desafios relacionados ao provisionamento de recursos e ao atendimento das requisições utilizando a infraestrutura de uma nuvem. Esses desafios integram a modelagem de carga, virtualização, modelagem de desempenho, depuração e monitoramento de aplicações nos recursos virtualizados [30]. Além disso, há situações imprevisíveis que podem prejudicar o eficiente provisionamento e atendimento das requisições durante o tempo de execução, dentre as quais podem ser citadas [31]:…”

Section: Tabela I Comparação Com Outros Trabalhos Relacionadounclassified

An Analysis of Optimization Algorithms designed to fully comply with SLA in Cloud Computing

Nakamura

Azevedo

Batista

et al. 2017

IEEE Latin Am. Trans.

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Abstract-Nowadays the access to a cloud computing environment is provided on-demand offering transparent services to customers. Although the cloud allows an abstraction of the behavior of the service providers in the infrastructure (involving logical and physical resources), it remains a challenge to fully comply with the Service Level Agreements (SLAs), because, depending on the service demand and system configuration, the providers may not be able to meet the requirements of the customers. There is a need for mechanisms that take account of load balancing algorithms to provide an efficient load distribution with the available resources. However, the studies in the literature do not effectively address the problem of the availability of resources to meet customers' requirements with analysis restricted to a limited set of objectives. This paper proposes algorithms to address the need for optimization when handling computational resources during the execution time. The methods optimize the efficient use of the resources available in the infrastructure aiming to comply with the service level agreements defined between client and provider.

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Section: Tabela I Comparação Com Outros Trabalhos Relacionadounclassified

An Analysis of Optimization Algorithms designed to fully comply with SLA in Cloud Computing

Nakamura

Azevedo

Batista

et al. 2017

IEEE Latin Am. Trans.

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“…Amongst these problems, cloud elasticity (or dynamic cloud resource provisioning) approaches are covered either partially or in a limited capacity. For example, Singh and Chana [11] focused on autonomic computing with a particular emphasis on QoS-aware management of resources; Jennings and Stadler [12] used resource management functions as a classification method; Mustafa et al [13] reviewed the literature based on the metrics used and discussed the underlying research problems. Manvi and Shyam [14] classified the literature into problem specific categories such as resource provisioning and allocation; whereas Singh and Chana [15] targeted resource provisioning in general, wherein elasticity is considered as a trait of resource provisioning mechanism.…”

Section: Cloud Resource Managementmentioning

confidence: 99%

A control theoretical view of cloud elasticity: taxonomy, survey and challenges

Ullah

Shen

et al. 2018

Cluster Comput

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The lucrative features of cloud computing such as pay-as-you-go pricing model and dynamic resource provisioning (elasticity) attract clients to host their applications over the cloud to save up-front capital expenditure and to reduce the operational cost of the system. However, the efficient management of hired computational resources is a challenging task. Over the last decade, researchers and practitioners made use of various techniques to propose new methods to address cloud elasticity. Amongst many such techniques, control theory emerges as one of the popular methods to implement elasticity. A plethora of research has been undertaken on cloud elasticity including several review papers that summarise various aspects of elasticity. However, the scope of the existing review articles is broad and focused mostly on the highlevel view of the overall research works rather than on the specific details of a particular implementation technique. While considering the importance, suitability and abundance of control theoretical approaches, this paper is a step forward towards a stand-alone review of control theoretic aspects of cloud elasticity. This paper provides a detailed taxonomy comprising of relevant attributes defining the following two perspectives, i.e., control-theory as an implementation technique as well as cloud elasticity as a target application domain. We carry out an exhaustive review of the literature by classifying the existing elasticity solutions using the attributes of control theoretic perspective. The summarized results are further presented by clustering them with respect to the type of control solutions, thus helping in comparison of the related control solutions. In last, a discussion summarizing the pros and cons of each type of control solutions are presented. This discussion is followed by the detail description of various open research challenges in the field.

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“…In the traditional computing infrastructure, operating systems, applications and data are typically stored as well as managed on an individual client's personal computer (PC) [2]. On the contrary, cloud computing facilitates the provision and use of IT infrastructure, platforms, and applications of any kind as services that are electronically available over the internet [3,4]. The later enables millions of users to use, as well as access to, cloud resources (hardware and software) simultaneously through a variety of devices, including PCs, laptops, smartphones, and PDAs.…”

Section: Introductionmentioning

confidence: 99%

Cloud Computing Technology: Promises and Concerns

Attiya¹,

Zhang²

2017

IJCA

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Recently, the concept of cloud computing has witnessed dramatic worldwide growth in the field of information technology (IT). Cloud computing has gained its popularity as a new computing paradigm from an ability to facilitate the provision and use of IT infrastructure, platforms, and applications of any kind in the form of services that are electronically available over the internet. As a result, cloud computing is heading rapidly towards mainstream usage and adoption for many customers, developers, enterprises, governmental institutions, and researchers. In this survey, we give an overview of cloud computing and their application domains, including the challenges that should be addressed in order to push the cloud technology further. Then, we present a systematic and comprehensive taxonomy of the cloud computing technology. Moreover, we review the most popular and successful open source cloud computing technologies and projects. Finally, we identify several open research issues that need to be investigated in the future. This paper intends to help new researchers entering the domain of cloud computing by providing a comprehensive survey on recent developments.

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Resource management in cloud computing: Taxonomy, prospects, and challenges

Cited by 172 publications

References 50 publications

An Analysis of Optimization Algorithms designed to fully comply with SLA in Cloud Computing

An Analysis of Optimization Algorithms designed to fully comply with SLA in Cloud Computing

A control theoretical view of cloud elasticity: taxonomy, survey and challenges

Cloud Computing Technology: Promises and Concerns

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