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29
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January 1992 - September 2014
Publications
Publications (29)
This paper evaluates techniques for improving the use of cloud computing resources through autoscaling. Autoscaling, also referred to as auto-scaling or automatic scaling, is a cloud computing technique for dynamically allocating computational resources. Autoscaling can be reactive (responding to resource needs as they arise) or proactive (anticipa...
To provide an adequate and timely response to patients, medical images for supporting diagnosis must be easily and efficiently accessed by health professionals anywhere at anytime. The widely adopted technology of mobile devices, especially smartphones, can provide this ubiquity. Additionally, due to the advances in processors with low power consum...
Geometry teaching in elementary schools in Colombia is a challenging task. Students’ problems with this topic have led to below-average performances in the Program of International Student Assessment. To face this challenge, this paper presents Akasha, a personalized software application to reinforce geometry teaching to elementary school children...
An essential activity in curriculum design is to specify the topics of the curriculum and the courses where those topics will be taught. Disciplines, such as Computing present several challenges in this regard, since the topics that students must learn tend to be fine-grained and highly interconnected. First, one must ensure that the most important...
Medical image processing helps health professionals make decisions for the diagnosis and treatment of patients. Since some algorithms for processing images require substantial amounts of resources, one could take advantage of distributed or parallel computing. A mobile grid can be an adequate computing infrastructure for this problem. A mobile grid...
The growth and evolution of the World Wide Web (WWW) has been rapid over the last ten years and this has been caused mainly by factors such as the social web and mobile technology. This growth, which presupposes the satisfaction of millions of users accessing web applications with an adequate quality of service, requires continuous changes in the i...
The computing education community expects modern curricular guidelines for information technology (IT) undergraduate degree programs by 2017. The authors of this work focus on eliciting and analyzing Latin American academic and industry perspectives on IT undergraduate education. The objective is to ensure that the IT curricular framework in the IT...
Wireless grids extend the capability of Grid Computing by including a collection of wireless devices of diverse characteristics, such as sensors, mobile phones, laptops and special instruments. These new resources increase the power and accessibility of grids. Wireless devices can be grid resource consumers or grid resource providers. This chapter...
Wireless grids extend the capability of Grid Computing by including a collection of wireless devices of diverse characteristics, such as sensors, mobile phones, laptops and special instruments. These new resources increase the power and accessibility of grids. Wireless devices can be grid resource consumers or grid resource providers. This chapter...
The advances in the development of mobile devices have created a important market for applications that can be use at any time and place, that was not possible, by using traditional computing devices. However, to leverage the potential of mobile devices, it is important that designers will be provided with tools that allow them to develop, express,...
Among the advances that the world of distributed computing has had, one must take into account the emergence of new paradigms such as Cloud Computing. The Cloud Computing Model integrates and offers to users several computational resources as a service, on demand. The Cloud model is supported by technologies such as Grid Computing, virtualization a...
Web 2.0 technologies have enabled the collaboration and sharing of web users through emerging applications such as Wikis, Blogs and Mashups. These applications induce workloads in the web with new features, whose study is important for the development of workload generators that support capacity planning and traffic engineering activities. GBLOT is...
Web 2.0 technologies have enabled the participation and collaboration of web users through emerging applications. Blogging is an example of Web 2.0 application for sharing informa-tion. These new applications induce workloads in the web with new features, whose study is important for introducing improvements at the architecture, operating system an...
We present a thorough characterization of the access patterns in blogspace, which comprises a rich interconnected web of blog postings and comments by an increas-ingly prominent user community that collectively define what has become known as the blogosphere. Our characterization of over 35 million read, write, and manage-ment requests spanning a 2...
We are interested in providing databases with fuzzy data representation and flexible querying capabilities. This work concerns
with a performance analysis based on statistical techniques to evaluate methods for fuzzy queries over fuzzy data. We introduce
the application of Derivation Principle for this kind of queries and show its practical benefit...
A Grid is a collection of heterogeneous distributed computing resources for solving large-scale computational and data intensive
problems. It is a dynamic environment where resources attributes -such as load- change constantly hindering performance evaluation
activities. Performance models could be a solution to this problem because they provide a...
Advances in Internet and the availability of powerful computers and high-speed networks have propitiated the rise of Grids. The scheduling of applications in Grids is complex due to factors like the heterogeneity of resources and changes in their availability. Models provide a way of performing repeatable and controllable experiments for evaluating...
The use of metacomputing systems for high performance computing is gaining considerable acceptance. In such kind of environments, performance models help to obtain the expected application performance. Hence, it is important that the metasystem provides services for building these models. These services should support the main activities related to...
The access to distributed high performance computing facilities for execution of Java programs has generated considerable
interest. A metacomputing system, or metasystem, allows uniform access to heterogeneous resources. Our case study is suma,a
metasystem defined as a set of corba components,offerin g services for execution of both sequential and...
The process of developing software systems that meet performance objectives has been called Software Performance Engineering (SPE). The goal of SPE techniques is to construct performance models in each phase of the software development cycle. This allows us to detect designs that are likey to exhibit unacceptable performance. Simple models are pref...
El acceso a recursos distribuidos de computacion de alto rendimiento ha generado considerable interes recientemente. Un sistema de metacomputacion, o metasistema, permite acceder uniformemente a recursos heterogeneos. Nuestro caso de estudio es suma, un metasistema denido como un conjunto de componentes corba que ofrecen servicios para ejecucion de...
Our research focuses on reducing the computing time in large simulation models of client-server architectures by replacing server models by load dependent servers (LDSs), whose solution requires less computational effort. As these LDSs include overhead information, it is necessary to design a set of measurements for collecting overhead data. We are...
The paper focuses on reducing completion time in large simulation models by replacing some of their elements with analytically determined solutions. In particular, we study realistic analytical server models that include operating system overhead. This overhead will be determined by measuring the behaviour of a representative workload. We propose a...
One of the key differentiating characteristics of Computa-tional Grid computing is that the performance of resources can fluctuate dynamically. Hence, Grid schedulers need performance models to pre-dict the deliverable performance that an application will obtain when it runs. Despite many efforts have been dedicated to develop models for predicting...
