QoS&amp;#150;Aware Clouds

Ferretti, Stefano; Ghini, Vittorio; Panzieri, Fabio; Pellegrini, Michele; Turrini, Elisa

doi:10.1109/cloud.2010.17

Cited by 112 publications

(76 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Likewise, Chazalet's monitoring and service level checking architecture [10] does lack application-specific SLOs mappings. Ferretti et al [14] and Chazalet [10] investigate the relationship between resource utilization and SLA violations but specifically for private cloud infrastructure. The monitoring issues we raised become more challenging in public cloud environments where the massive scale of economies is appealing but at the expense of its performance variability.…”

Section: -Correlating and Aggregating Measurements Based Onmentioning

confidence: 99%

“…-Evaluating and reasoning about the impact of cloud infra-structure resources measurements on potential SLOs violation and subsequent costs using impact models. Some key research work [10,14,18] has been conducted as an attempt to address the above listed issues. In his conceptual architecture, Goyal [18] focuses on managing the application's services that are deployed on multiple cloud infrastructures based on the enterprise's governance, risk, and service management policies.…”

Section: -Correlating and Aggregating Measurements Based Onmentioning

confidence: 99%

“…In his conceptual architecture, Goyal [18] focuses on managing the application's services that are deployed on multiple cloud infrastructures based on the enterprise's governance, risk, and service management policies. Ferretti et al [14] proposed a middleware that can be integrated with cloud infrastructure platform to dynamically configure, manage, and optimize cloud resources based on the SLA of the cloud-based application. Both approaches [14,18] do not consider modeling the relationship between application's SLOs and cloud infrastructure resources.…”

Section: -Correlating and Aggregating Measurements Based Onmentioning

confidence: 99%

“…Ferretti et al [14] proposed a middleware that can be integrated with cloud infrastructure platform to dynamically configure, manage, and optimize cloud resources based on the SLA of the cloud-based application. Both approaches [14,18] do not consider modeling the relationship between application's SLOs and cloud infrastructure resources. Likewise, Chazalet's monitoring and service level checking architecture [10] does lack application-specific SLOs mappings.…”

Section: -Correlating and Aggregating Measurements Based Onmentioning

confidence: 99%

See 3 more Smart Citations

On understanding the economics and elasticity challenges of deploying business applications on public cloud infrastructure

Suleiman

Sakr

Jeffery

et al. 2011

J Internet Serv Appl

View full text Add to dashboard Cite

The exposure of business applications to the web has considerably increased the variability of its workload patterns and volumes as the number of users/customers often grows and shrinks at various rates and times. Such application characteristics have increasingly demanded the need for flexible yet inexpensive computing infrastructure to accommodate variable workloads. The on-demand and per-use cloud computing model, specifically that of public Cloud Infrastructure Service Offerings (CISOs), has quickly evolved and adopted by majority of hardware and software computing companies with the promise of provisioning utility-like computing resources at massive economies of scale. However, deploying business applications on public cloud infrastructure does not lead to achieving desired economics and elasticity gains, and some challenges block the way for realizing its real benefits. These challenges are due to multiple differences between CISOs and application's requirements and characteristics. This article introduces a detailed analysis and discussion of the economics and elasticity challenges of business applications to be deployed and operate on public cloud infrastructure. This includes analysis of various aspects of public CISOs, modeling and measuring CISOs' economics and elasticity, application workload patterns and its impact on achieving elasticity and economics, economics-driven elasticity decisions and policies, and SLA-driven monitoring and elasticity of cloud-based business applications. The analysis and discussion are supported with motivating scenarios for cloud-based business applications. The paper provides a multi-lenses overview that can help cloud consumers and potential business application's owners to understand, analyze, and evaluate important economics and elasticity capabilities of different CISOs and its suitability for meeting their business application's requirements.

show abstract

Section: -Correlating and Aggregating Measurements Based Onmentioning

confidence: 99%

Section: -Correlating and Aggregating Measurements Based Onmentioning

confidence: 99%

Section: -Correlating and Aggregating Measurements Based Onmentioning

confidence: 99%

Section: -Correlating and Aggregating Measurements Based Onmentioning

confidence: 99%

See 2 more Smart Citations

On understanding the economics and elasticity challenges of deploying business applications on public cloud infrastructure

Suleiman

Sakr

Jeffery

et al. 2011

J Internet Serv Appl

View full text Add to dashboard Cite

show abstract

“…Any community effort around the open cloud should be driven by customer needs, not merely the technical needs of cloud providers, and should be tested or verified against real customer requirements. So, the success of next-generation cloud computing infrastructures will depend on how efficiently/ effectively these infrastructures will be able to instantiate and dynamically maintain computing platforms, constructed out of cloud resources and services, which meet arbitrarily varying resources and service requirements of cloud customer applications [19].…”

Section: Introductionmentioning

confidence: 99%

A Unified Architecture for Optimal Resource Utilization in a Heterogeneous Cloud Environment

Arockiam¹,

Stanislas²

2014

IJMLC

View full text Add to dashboard Cite

Abstract-Cloud computing is the latest effort in the field of computer technology in delivering computing resources as a service. It is a paradigm shift taken from computing as a product that is to be purchased to computing as a service that is delivered to consumers as 'pay-per-use' over the internet on clouds. The biggest challenge that the present business world faces in cloud computing is the lack of a single and standard architectural method that can meet the requirements of an enterprise cloud approach. In order to address this challenge, we present an architectural framework with an algorithm which enhances scalability in a unified cloud environment. It enables the service providers to manage and to allocate the resources according to the demand of the users. This paper provides a better understanding of the architectural designs for scalability in cloud computing, allocates the resources optimally to reduce the cost and maintains customer-provider relationship.

show abstract

Architecting cloud‐enabled systems: a systematic survey of challenges and solutions

2016

View full text Add to dashboard Cite

SUMMARYThe literature on the challenges of and potential solutions to architecting cloud-based systems is rapidly growing but is scattered. It is important to systematically analyze and synthesize the existing research on architecting cloud-based software systems in order to build a cohesive body of knowledge of the reported challenges and solutions. We have systematically identified and reviewed 133 papers that report architecture-related challenges and solutions for cloud-based software systems. This paper reports the methodological details, findings, and implications of a systematic review that has enabled us to identify 44 unique categories of challenges and associated solutions for architecting cloud-based software systems. We assert that the identified challenges and solutions classified into the categories form a body of knowledge that can be leveraged for designing or evaluating software architectures for cloud-based systems. Our key conclusions are that a large number of primary studies focus on middleware services aimed at achieving scalability, performance, response time, and efficient resource optimization. Architecting cloud-based systems presents unique challenges as the systems to be designed range from pervasive embedded systems and enterprise applications to smart devices with Internet of Things. We also conclude that there is a huge potential of research on architecting cloud-based systems in areas related to green computing, energy efficient systems, mobile cloud computing, and Internet of Things.

show abstract

QoSAware Clouds

Cited by 112 publications

References 13 publications

On understanding the economics and elasticity challenges of deploying business applications on public cloud infrastructure

On understanding the economics and elasticity challenges of deploying business applications on public cloud infrastructure

A Unified Architecture for Optimal Resource Utilization in a Heterogeneous Cloud Environment

Architecting cloud‐enabled systems: a systematic survey of challenges and solutions

Contact Info

Product

Resources

About