Volume 6, Issue 8, August 2015

Detection of Preference and Selection of Cloud Services for Dynamic Adaptation Based on the User Profile

KANGA Koffi, GOORE Bi Tra, BABRI Michel and OUMTANAGA Souleymane

Ecole Doctorale Polytechnique de l'Institut Nationale Polytechnique Félix Houphouët Boigny (EDP/INPHB), Côte D'ivoire / Laboratoire de Mathématiques et des Nouvelles Technologies de l´Information (LMNTI)
Laboratoire de Recherche en Informatique et Télécommunication (LARIT)

Abstract - In this article, we propose a user’s preferences detection tools in cloud computing and also the selection of services available on request by the cloud providers, so as to make a dynamic adaptation of these services to the user‘s preferences according to their profile. This contribution focuses first of all on the implementation of data models and then on the different algorithms allowing the detection based on the proposed models. Therefore, the different algorithms were developed according to the different formalizations set up, namely: Matrix formalization in detecting user’s preferences based on their profiles, and Matrix formalization for selecting cloud services based on user’s profile.

Index Terms - Cloud Computing, Dynamic Adaptation of Services, User Profile, Preference Detection and Services Selection

Fast Nearest Neighbor Search Using Efficient Spatial Index

Pages: 8-11 (4) | [Full Text] PDF (231K)

Eldhose Paul and Ierin Babu

Computer Science and Engineering, ASIET, Kalady, India

Abstract - Spatial queries, such as nearest neighbor retrieval and range search, include only conditions on geometric properties. A spatial database handles multidimensional objects and offers quick access to those objects based on different range criteria. Many applications demand a novel form of queries to discover the objects that considering both a spatial predicate, and a predicate on their related texts on now-a-days. For example, considering all the hotels, a user would request for the hotel that is the nearest among those whose menus contain the specified keywords all at the same time. Here deals with the new method called Efficient Spatial Index that extends the conventional inverted index to handle with multidimensional data, and arises with algorithms that can response nearest neighbor queries with keywords in real time.

Index Terms - Spatial Inverted List, Spatial Queries, IR2-Tree and Multidimensional Data

Securing Enterprise Information Using Dual Combat Technique

Pages: 12-18 (7) | [Full Text] PDF (634K)

Erike A. I, Inyiama H.C and Nwalozie G.C

Department of Electronic and Computer Engineering, Nnamdi Azikiwe University, Awka Anambra State, Nigeria

Abstract - Enterprise Information Portal is a gateway through which every employee in the enterprise gets access to personalized information in the organization. Information security has been a problem in many organizations which has led to many organizational loses. Security of enterprise data in organizational databases therefore becomes a thing of utmost importance since no organization can work well without viable information. This research work is focused on securing Enterprise Information Portals against Username enumeration attack and Brute-forcing Password attack using Dual Combat Technique. Structural System Analysis and Design methodology was used to design the security framework which gives users the privilege of locking and unlocking their account immediately an attack is sensed on their account. The following open source technologies were used to implement the development: PHP, MySQL and APACHE. Performance evaluation test which was conducted over the same internet connection condition shows that the new technique alerts the user of an envisaged attack 36.7% faster than the time it takes for the traditional Reverse Turning Test to show up.

Index Terms - Enterprise Information Portal, Security, Brute-Forcing and MySQL

Fuzzy Mean and Variance Based Iris Recognition System

Pages: 19-23 (5) | [Full Text] PDF (358K)

Neelam Singh, Lokesh Singh and Bhupesh Gour

CSE, TIT, Bhopal

Abstract - Iris recognition is a biometric approach for person authentication. In this research paper a unique method is proposed for applying moments to extract features of human iris. Moments are used to get properties of certain interesting area. It includes intensity of pixels, centroid, invariants of moments and orientation. Then next approach is to compute mean and variance, which are used with rule based fuzzy to get better classification rate. Here two phases of analysis have done which gives us valuable outcomes of proposed approach. Obtained average CCR is 86.6% in first test and 95% in second test.

Index Terms - Biometrics Iris Recognition, Moments, Fuzzy Rules, Correct Classification Rate, Mean and Variance

Dynamic Clustering for Scientific Workflows with Load Balancing in Resource

Pages: 24-28 (5) | [Full Text] PDF (332K)

Roya Bagheri and Abolfazel Toroghi Haghighat

Department of Computer Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

Abstract - Task clustering is a method that merges multiple short tasks into a single job so that the job runtime is enhanced and the total system overhead is reduced also is efficient way to decrease a communication delay in DAGs by classification heavily communicating tasks to the similar labeled clusters and then assigning tasks in a cluster to the similar resource. A workflow usage is usually containing of various tasks with the requirement for different resource types to complement which we recall it heterogeneity in workflow. The important idea in this research is based upon the idea of defining the set of tasks that could run concurrently and distribute them into various sub-workflows and then assigned each sub-workflow in resource cluster instead of dedicating individual tasks. This can decrease inter-task communication cost and attain high parallelism the received DAG partition into several sub-workflows that is discovered by Dynamic Clustering Workflows (DCW) algorithm and thus progress workflow execution accomplishment.

Index Terms - Scientific Workflows, Task Clustering, Communication Delay and Load Balancing

Volume 6, Issue 8, August 2015

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