{"title":"Multi-layer QoS Monitoring in Private Clouds","authors":"O. Morariu, T. Borangiu, C. Morariu","doi":"10.1109/DEXA.2013.31","DOIUrl":"https://doi.org/10.1109/DEXA.2013.31","url":null,"abstract":"Cloud computing represents at this point the standard delivery method for the infrastructure and platform of next generation applications. The emergence of a wide range of commercial cloud services have changed not only the way code is written and maintained, but also the way it is executed. Private clouds play an important role in this new service delivery model being designed to provide computing capacity within the organization premises either standalone or in a hybrid model. As resources of the private cloud are limited, QoS assurance becomes an important challenge. This paper presents the design of a monitoring solution that integrates several open source tools and can assure QoS for private clouds. The solution is implemented for IBM CloudBurst 2.1 and IBM TSAM product stack and can monitor a wide range of services, from CPU and memory load to J2EE services and HTTP statistics generate real time alerts and provide integration with a Jira based issue tracking tools. The overall solution provides a closed loop QoS system for private clouds that is able to prevent a large set of issues and provide real time diagnostic data for root cause analysis.","PeriodicalId":428515,"journal":{"name":"2013 24th International Workshop on Database and Expert Systems Applications","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122639113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Parallelization of Algorithms for Linear Discrete Optimization Using ParaPhrase","authors":"M. Rossbory, Werner Reisner","doi":"10.1109/DEXA.2013.32","DOIUrl":"https://doi.org/10.1109/DEXA.2013.32","url":null,"abstract":"In industry optimization of processes, production planing, or resource usage is important to reduce costs and increase profit. Mathematical models for optimization can contribute to achieve this, but they also pose some challenges. Not only expertise in mathematics is needed to apply these optimization models, but furthermore expertise in programming is needed for implementation and integration into the software landscape of the company. Additionally most optimization algorithms are computationally very expensive and finding a solution takes a long time. Parallelization reduces the time and can lead to better results, but makes implementation even more challenging. How the high-level pattern-based approach of ParaPhrase [5] and its provided tools reduces this challenges will be described in this paper using a real-world example from industry.","PeriodicalId":428515,"journal":{"name":"2013 24th International Workshop on Database and Expert Systems Applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132752980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reducing the Space of Degenerate Patterns in Protein Remote Homology Detection","authors":"M. Comin, Davide Verzotto","doi":"10.1109/DEXA.2013.36","DOIUrl":"https://doi.org/10.1109/DEXA.2013.36","url":null,"abstract":"In biology the notion of degenerate pattern plays a central role for describing various phenomena. For example, protein active site patterns, like those contained in the PROSITE database, e.g. [FY]DPC[LIM][ASG]C[ASG], are in general represented by degenerate patterns with character classes. Researchers have developed several approaches over the years to discover degenerate patterns. Although these methods have been exhaustively and successfully tested on genomes and proteins, their outcome often far exceeds the size of the original input, making the output hard to be managed and then interpreted by refined analysis requiring manual inspection. In this article we discuss a characterization of degenerate patterns with character classes, and introduce the concept of pattern priority, for comparing and ranking different patterns without gaps, together with the class of underlying patterns, which permits to filter any set of degenerate patterns into a new set that is linear in the size of the input sequence. We present some preliminary results on the detection of subtle signals in protein sequences with remote homologies. Results show that our approach drastically reduces the number of patterns in output from a tool for protein sequence analysis, while retaining the functional ones.","PeriodicalId":428515,"journal":{"name":"2013 24th International Workshop on Database and Expert Systems Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130494453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marco A. Palomino, Tim Taylor, G. McBride, Richard Owen
{"title":"Instability in Search Engine Results: Lessons Learned in the Context of Horizon Scanning Applications","authors":"Marco A. Palomino, Tim Taylor, G. McBride, Richard Owen","doi":"10.1109/DEXA.2013.14","DOIUrl":"https://doi.org/10.1109/DEXA.2013.14","url":null,"abstract":"Horizon scanning, the systematic search for information to identify potential threats, risks, emerging issues and opportunities, has become an increasingly important part of strategic decision making. Although horizon scanning has its roots in the pre-electronic information era, it has blossomed with the availability of Web-based information. Dedicated analysts responsible for scanning the horizon make frequent use of search engines to retrieve information. Regrettably, the results yielded by popular search engines are often inconsistent and redundant. Thus, post processing heuristics have to be employed to select the most relevant data. This paper focusses on the first steps of this process, and analyses the result counts provided by different search engine interfaces in response to a set of queries meant to gather information about new and emerging trends.","PeriodicalId":428515,"journal":{"name":"2013 24th International Workshop on Database and Expert Systems Applications","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114752464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Agent-Based Simulation of Retail Electricity Markets: Bilateral Trading Players","authors":"F. Lopes, H. Algarvio, H. Coelho","doi":"10.1109/DEXA.2013.50","DOIUrl":"https://doi.org/10.1109/DEXA.2013.50","url":null,"abstract":"The electricity industry throughout the world, which has long been dominated by vertically integrated utilities, has experienced major changes. Deregulation, unbundling, wholesale and retail wheeling, and real-time pricing were abstract concepts a few years ago. Today market forces drive the price of electricity and reduce the net cost through increased competition. As power markets continue to evolve, there is a growing need for advanced modeling approaches. Accordingly, this article looks at using software agents to help manage the complexity of electricity markets, particularly retail markets. The article focuses on bilateral trading and describes some important features of an agent-based system for bilateral contracting. Special attention is devoted to the characteristics and negotiation behaviour of Buyer and Seller agents.","PeriodicalId":428515,"journal":{"name":"2013 24th International Workshop on Database and Expert Systems Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127903669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hybrid Stop Discovery in Trajectory Records","authors":"Le Hung Tran, T. K. Dang, N. Thoai","doi":"10.1109/DEXA.2013.6","DOIUrl":"https://doi.org/10.1109/DEXA.2013.6","url":null,"abstract":"The advance of GPS tracking technique brings a large amount of trajectory data. These data can be used in many application domains such as traffic management, urban planning, tourism, and bird migration. Recently, a semantic model which expresses trajectory as a sequence of stops and moves was introduced and become a hot topic for trajectory data analysis. Stops are important parts of trajectories, such as \"working at office\", \"shopping in a mall\", \"waiting for the bus\". Although several works have been developed to discover stops, they considered the characteristics of the stops separately. Because of this limitation, these approaches only focus on certain well-defined trajectories. They cannot work well for heterogeneous cases like diverse and sparse trajectories. Towards stop discovery in trajectories, in this paper, we propose a comprehensive hybrid feature-based method to discover stops. We also evaluate our approach with real-life GPS datasets, and show that this newly proposed approach can provide a good abstraction on the trajectory, with efficient computation.","PeriodicalId":428515,"journal":{"name":"2013 24th International Workshop on Database and Expert Systems Applications","volume":"32 1 Pt 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125705116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Warat Chalermpornpong, Saranya Maneeroj, A. Takasu
{"title":"Rating Pattern Formation for Better Recommendation","authors":"Warat Chalermpornpong, Saranya Maneeroj, A. Takasu","doi":"10.1109/DEXA.2013.23","DOIUrl":"https://doi.org/10.1109/DEXA.2013.23","url":null,"abstract":"Collaborative Filtering Recommender Systems are used to recommend items that may match each user preference on the basis of preferences of similar users in the system. Since different users have different patterns of preference, there is a problem when one user's preference is used to recommend another user's preference. A way of converting one user's preference pattern into another user's pattern is proposed. However, there are several problems with current methods: some methods take many users' patterns as a similar one, some rely on co-rated items data between user pairs which is hardly obtained, and some methods can't exactly convert a rating to a suitable one. This work proposes a new transpose function that can be utilized on any pair of users regardless of using co-rated items by applying latent model. The new transpose function is composed of an original value term and an adjustment term which transposes an original rating to an average of the target user's rating on the corresponding items. Moreover, for more accuracy, a distribution term and a confidence term are combined to the adjustment term. This new function provides better results than the current transpose function in terms of three evaluation metrics (MAE, F-measure, and coverage).","PeriodicalId":428515,"journal":{"name":"2013 24th International Workshop on Database and Expert Systems Applications","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114922715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}