33 research outputs found
A Factor Framework for Experimental Design for Performance Evaluation of Commercial Cloud Services
Given the diversity of commercial Cloud services, performance evaluations of
candidate services would be crucial and beneficial for both service customers
(e.g. cost-benefit analysis) and providers (e.g. direction of service
improvement). Before an evaluation implementation, the selection of suitable
factors (also called parameters or variables) plays a prerequisite role in
designing evaluation experiments. However, there seems a lack of systematic
approaches to factor selection for Cloud services performance evaluation. In
other words, evaluators randomly and intuitively concerned experimental factors
in most of the existing evaluation studies. Based on our previous taxonomy and
modeling work, this paper proposes a factor framework for experimental design
for performance evaluation of commercial Cloud services. This framework
capsules the state-of-the-practice of performance evaluation factors that
people currently take into account in the Cloud Computing domain, and in turn
can help facilitate designing new experiments for evaluating Cloud services.Comment: 8 pages, Proceedings of the 4th International Conference on Cloud
Computing Technology and Science (CloudCom 2012), pp. 169-176, Taipei,
Taiwan, December 03-06, 201
Building an Expert System for Evaluation of Commercial Cloud Services
Commercial Cloud services have been increasingly supplied to customers in
industry. To facilitate customers' decision makings like cost-benefit analysis
or Cloud provider selection, evaluation of those Cloud services are becoming
more and more crucial. However, compared with evaluation of traditional
computing systems, more challenges will inevitably appear when evaluating
rapidly-changing and user-uncontrollable commercial Cloud services. This paper
proposes an expert system for Cloud evaluation that addresses emerging
evaluation challenges in the context of Cloud Computing. Based on the knowledge
and data accumulated by exploring the existing evaluation work, this expert
system has been conceptually validated to be able to give suggestions and
guidelines for implementing new evaluation experiments. As such, users can
conveniently obtain evaluation experiences by using this expert system, which
is essentially able to make existing efforts in Cloud services evaluation
reusable and sustainable.Comment: 8 page, Proceedings of the 2012 International Conference on Cloud and
Service Computing (CSC 2012), pp. 168-175, Shanghai, China, November 22-24,
201
Honey bee based trust management system for cloud computing
Cloud computing has been considered as the new computing paradigm that would offer computer resources over the Internet as service.With the widespread use of cloud, computing would become another utility similar to electricity, water, gas and telephony where the customer would be paying only for the services consumed contrary to the current practice of paying a monthly or annual fixed charge irrespective of use.For cloud
computing to become accepted by everybody, several issues need to be resolved.One of the most important issues to be addressed is cloud security.Trust management is one of the important components of cloud security that requires special attention. In this paper, the authors propose the
concept that honey bee algorithm which has been developed to solve complex optimization problems can be successfully used to address this issue.The authors have taken a closer look at the optimization problems that had been solved using the honey bee algorithm and the similarity between
these problems and the cloud computing environment.Thus concluding that the honey bee algorithm could be successfully used to solve the trust management issue in cloud computing
Towards a Taxonomy of Performance Evaluation of Commercial Cloud Services
Cloud Computing, as one of the most promising computing paradigms, has become
increasingly accepted in industry. Numerous commercial providers have started
to supply public Cloud services, and corresponding performance evaluation is
then inevitably required for Cloud provider selection or cost-benefit analysis.
Unfortunately, inaccurate and confusing evaluation implementations can be often
seen in the context of commercial Cloud Computing, which could severely
interfere and spoil evaluation-related comprehension and communication. This
paper introduces a taxonomy to help profile and standardize the details of
performance evaluation of commercial Cloud services. Through a systematic
literature review, we constructed the taxonomy along two dimensions by
arranging the atomic elements of Cloud-related performance evaluation. As such,
this proposed taxonomy can be employed both to analyze existing evaluation
practices through decomposition into elements and to design new experiments
through composing elements for evaluating performance of commercial Cloud
services. Moreover, through smooth expansion, we can continually adapt this
taxonomy to the more general area of evaluation of Cloud Computing.Comment: 8 pages, Proceedings of the 5th International Conference on Cloud
Computing (IEEE CLOUD 2012), pp. 344-351, Honolulu, Hawaii, USA, June 24-29,
201
Information System as a Service: Issues and Challenges
Information system evolved as the evolution of information technology. The current state of information technology, placed the internet as a main resources of computing. Cloud technology as the backbone of internet has been utilized as a powerful computing resources. Therefore, cloud introduced new term of service oriented technology, popular with “as a service” kind of name. In this paper, the service oriented paradigm will be used to address future trend of information system. Thus, this paper try to introduce the term “information system as a service”, holistic view of infrastructure as a service, platform as a service, software as a service, and data as a servic
On a Catalogue of Metrics for Evaluating Commercial Cloud Services
Given the continually increasing amount of commercial Cloud services in the
market, evaluation of different services plays a significant role in
cost-benefit analysis or decision making for choosing Cloud Computing. In
particular, employing suitable metrics is essential in evaluation
implementations. However, to the best of our knowledge, there is not any
systematic discussion about metrics for evaluating Cloud services. By using the
method of Systematic Literature Review (SLR), we have collected the de facto
metrics adopted in the existing Cloud services evaluation work. The collected
metrics were arranged following different Cloud service features to be
evaluated, which essentially constructed an evaluation metrics catalogue, as
shown in this paper. This metrics catalogue can be used to facilitate the
future practice and research in the area of Cloud services evaluation.
Moreover, considering metrics selection is a prerequisite of benchmark
selection in evaluation implementations, this work also supplements the
existing research in benchmarking the commercial Cloud services.Comment: 10 pages, Proceedings of the 13th ACM/IEEE International Conference
on Grid Computing (Grid 2012), pp. 164-173, Beijing, China, September 20-23,
201
CLOUD COMPUTING: A REVIEW OF PAAS, IAAS, SAAS SERVICES AND PROVIDERS
La computación en la nube se ha convertido en uno de los factores relevantes para las empresas, desarrolladores y trabajadores, porque proporciona herramientas y aplicaciones web que permite almacenarinformación en servidores externos. Además, la computación en la nube ofrece ventajas tales como: reducción de costos, acceso a la información desde cualquier lugar, por mencionar sólo algunos. Hoy en día hay varios proveedores de computación en la nube como: Google Apps, Zoho, AppEngine, E2C Amazon, entre otros. Estos proveedores ofrecen software,infraestructura o plataforma como un servicio. En este trabajo se presenta una revisión general de los proveedores de computación en la nube, con el fin de permitir a los usuarios, empresas y desarrolladores seleccionar el que se ajuste a sus necesidades.
CLOUD COMPUTING: A REVIEW OF PAAS, IAAS, SAAS SERVICES AND PROVIDERS
Cloud computing has become an important factor for businesses, developers, workers, because it provides tools and Web applications that allows storing information on external servers. Also, Cloud computing offers advantages such as: cost reduction, information access from anywhere, to mention but a few. Nowadays, there are several Cloud computing providers such as: Google Apps, Zoho, AppEngine, Amazon E2C, among others. These providers offer Software, Infrastructure or Platform as a Service. Taking this into account, this paper presents a general review of Cloud computing providers in order to allow users, enterprises, and developers select the one that meets their needs