A service broker for Intercloud computing

This thesis aims at assisting users in finding the most suitable Cloud resources taking into account their functional and non-functional SLA requirements. A key feature of the work is a Cloud service broker acting as mediator between consumers and Clouds. The research involves the implementation and evaluation of two SLA-aware match-making algorithms by use of a simulation environment. The work investigates also the optimal deployment of Multi-Cloud workflows on Intercloud environments

Partial differential equations possessing the Painleve property

Ankara : Department of Mathematics and Institute of Engineering and Sciences, Bilkent University, 1996.Thesis (Master's) -- Bilkent University, 1996.Includes bibliographical references leaves 20.111 this tli(\sis, a|)|)lying llie l^viiilovc tost (l(ivolo|)('.(l by VV(hss, 'labor ainl t biriK'vale (VV1X9) investigatc'd the Pa.inleve property of Ibirgers’ ty|)e of ('(piarioiis, KdV type of equations and the KP extc'iisions of th(' KdV i-yi)(' of ('i|na,tions. VVe showed that there a.rc^ iiiiinitely many e(|nations of t,h('S(' t-ypc's poss('ssing tlu^ Painleve propcn'ty and tims we elassiíi(MÍ tlnmi witJi res])ect to Pa.illlevé property.Jrad, FahdM.S

Inter-Organizational Information and Middleware System Projects: Success, Failure, Complexity, and Challenges

Managing projects is firmly driven by its business goals. Simplistically, considering a project as success, or failure, depends on it meeting its objectives and requirements within its resources. While traditional projects are well constructed, Information Systems projects tend to be complex and ill-defined. These problems are exacerbated in contexts of Inter-Organizational Information (IOIS) and Middleware Systems (IOMS). Such Inter-Enterprise System projects are likely to face challenges related to the non-homogeneity of project goals across partners, complexity of relationships within and across organizations, geographical dispersion, legal differences across boundaries, etc. In this paper we explore various approaches identifying outcomes of IS projects: Rational, Narrative, Organizational, and Performative. Furthermore, we identify the complexity and particular challenges of IOIS and IOMS projects and how such approaches towards identifying project success and/or failure are applicable or inapplicable. We conclude with a call for more research to be conducted in this nascent but vital area

Gene-Based Multiclass Cancer Diagnosis with Class-Selective Rejections

Supervised learning of microarray data is receiving much attention in recent years. Multiclass cancer diagnosis, based on selected gene profiles, are used as adjunct of clinical diagnosis. However, supervised diagnosis may hinder patient care, add expense or confound a result. To avoid this misleading, a multiclass cancer diagnosis with class-selective rejection is proposed. It rejects some patients from one, some, or all classes in order to ensure a higher reliability while reducing time and expense costs. Moreover, this classifier takes into account asymmetric penalties dependant on each class and on each wrong or partially correct decision. It is based on ν-1-SVM coupled with its regularization path and minimizes a general loss function defined in the class-selective rejection scheme. The state of art multiclass algorithms can be considered as a particular case of the proposed algorithm where the number of decisions is given by the classes and the loss function is defined by the Bayesian risk. Two experiments are carried out in the Bayesian and the class selective rejection frameworks. Five genes selected datasets are used to assess the performance of the proposed method. Results are discussed and accuracies are compared with those computed by the Naive Bayes, Nearest Neighbor, Linear Perceptron, Multilayer Perceptron, and Support Vector Machines classifiers

Épandage des margines sur les sols agricoles : impacts environnementaux microbiologiques

L’épandage agricole des margines (effluents des moulins à huile d’olive) constitue une alternative parmi les solutions permettant de les valoriser, mais à condition que cette opération soit contrôlée et maîtrisée enrespectant les doses à appliquer. Cependant, une réticence envers l’épandage demeure jusqu’à nos jours, pour des craintes d’éventuelles incidences microbiologiques négatives sur le sol. Ainsi, pour contribuer à soulever l’ambiguïté qui a dû résulter des avis souvent controversés envers la valorisation agricole des margines, ce travail a été mené au niveau d’une exploitation agricole. En comparaison avec un sol non traité aux margines (témoin), les impacts environnementaux microbiologiquesde l’épandage de 25 et 50 m3/ha ont été étudiés, pendant quatre mois, au niveau de deux horizons (0-20 cm et 20-40 cm) d’un sol homogène de texture sable limoneux. Les résultats obtenus ont révélé que les phénols provenant des margines ont été dégradés ou réorganisés au cours du deuxième mois après l’épandage. Ni activation, ni inhibition de l’activité de la microflore du sol n’ont été constatées suite à l’épandage des doses étudiées.Mots-clés : margines, épandage, environnement, impacts  microbiologiques