610 research outputs found
A Process Framework for Managing Quality of Service in Private Cloud
As information systems leaders tap into the global market of cloud computing-based services, they struggle to maintain consistent application performance due to lack of a process framework for managing quality of service (QoS) in the cloud. Guided by the disruptive innovation theory, the purpose of this case study was to identify a process framework for meeting the QoS requirements of private cloud service users. Private cloud implementation was explored by selecting an organization in California through purposeful sampling. Information was gathered by interviewing 23 information technology (IT) professionals, a mix of frontline engineers, managers, and leaders involved in the implementation of private cloud. Another source of data was documents such as standard operating procedures, policies, and guidelines related to private cloud implementation. Interview transcripts and documents were coded and sequentially analyzed. Three prominent themes emerged from the analysis of data: (a) end user expectations, (b) application architecture, and (c) trending analysis. The findings of this study may help IT leaders in effectively managing QoS in cloud infrastructure and deliver reliable application performance that may help in increasing customer population and profitability of organizations. This study may contribute to positive social change as information systems managers and workers can learn and apply the process framework for delivering stable and reliable cloud-hosted computer applications
Cloud Computing and Quality of Service: Issues and Developments
Cloud computing is a dynamic information
technology (IT) paradigm that delivers on demand computing
resources to a user over a network infrastructure. The Cloud
Service Provider (CSP) offers applications which can be
accessed online to users. Such applications can be shared by
more than one user. CSPs provides programming interfaces
that allows customers to build and deploy applications on the
cloud; as well as providing massive storage and computing
infrastructure to users. Users usually have no control on how
data is stored on the cloud or where the underlying resources
are located. With this limited control, customers’ requirements
and Quality of Service (QoS) expectations from CSPs are spelt
out using a Service Level Agreement (SLA). It is thus
imperative to have the adequate QoS guarantees from a CSP.
This paper examines trends in the area of Cloud computing
QoS and provides a guide for future research. A review and
survey of existing works in literature is done in order to
identify these Cloud QoS trends. The finding is that the
ultimate expectation of any QoS metrics or model is the related
to cost concern for both the CSP and user
A survey and classification of software-defined storage systems
The exponential growth of digital information is imposing increasing scale and efficiency demands on modern storage infrastructures. As infrastructure complexity increases, so does the difficulty in ensuring quality of service, maintainability, and resource fairness, raising unprecedented performance, scalability, and programmability challenges. Software-Defined Storage (SDS) addresses these challenges by cleanly disentangling control and data flows, easing management, and improving control functionality of conventional storage systems. Despite its momentum in the research community, many aspects of the paradigm are still unclear, undefined, and unexplored, leading to misunderstandings that hamper the research and development of novel SDS technologies. In this article, we present an in-depth study of SDS systems, providing a thorough description and categorization of each plane of functionality. Further, we propose a taxonomy and classification of existing SDS solutions according to different criteria. Finally, we provide key insights about the paradigm and discuss potential future research directions for the field.This work was financed by the Portuguese funding agency FCT-Fundacao para a Ciencia e a Tecnologia through national funds, the PhD grant SFRH/BD/146059/2019, the project ThreatAdapt (FCT-FNR/0002/2018), the LASIGE Research Unit (UIDB/00408/2020), and cofunded by the FEDER, where applicable
A survey on energy efficiency in information systems
Concerns about energy and sustainability are growing everyday involving a wide range
of fields. Even Information Systems (ISs) are being influenced by the issue of reducing
pollution and energy consumption and new fields are rising dealing with this topic. One
of these fields is Green Information Technology (IT), which deals with energy efficiency
with a focus on IT. Researchers have faced this problem according to several points of
view. The purpose of this paper is to understand the trends and the future development
of Green IT by analyzing the state-of-the-art and classifying existing approaches to
understand which are the components that have an impact on energy efficiency in ISs
and how this impact can be reduced. At first, we explore some guidelines that can help
to understand the efficiency level of an organization and of an IS. Then, we discuss
measurement and estimation of energy efficiency and identify which are the components
that mainly contribute to energy waste and how it is possible to improve energy efficiency,
both at the hardware and at the software level
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