{"title":"Mechanism design for Data Replica Placement (DRP) problem in strategic settings","authors":"Minzhe Guo, P. Bhattacharya","doi":"10.1080/15536548.2016.1139425","DOIUrl":null,"url":null,"abstract":"ABSTRACT This article addresses the problem of Data Replica Placement, an important technique used in storage-capable distributed networks to improve system availability, reliability, and fault-tolerance. The study focuses on the Data Replica Placement problem in strategic settings inspired by practical market-based data replication applications, such as content delivery networks. Multiple self-interested players with private preferences own data objects for replication. Players compete for storage space among replication servers for placing replicas with the objective to optimize their own profits. Using mechanism design approach, the authors consider the problem as a sequential composition of knapsack auctions and design an algorithmic mechanism DRPMECH to aggregate players’ preferences and approximate a social efficient allocation for the problem. This work analyzes both the economic and computational properties of DRPMECH, validates the properties using experiments, and compares its performance against related game-theoretical solutions.","PeriodicalId":44332,"journal":{"name":"International Journal of Information Security and Privacy","volume":"15 1","pages":"32 - 54"},"PeriodicalIF":0.5000,"publicationDate":"2016-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information Security and Privacy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/15536548.2016.1139425","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT This article addresses the problem of Data Replica Placement, an important technique used in storage-capable distributed networks to improve system availability, reliability, and fault-tolerance. The study focuses on the Data Replica Placement problem in strategic settings inspired by practical market-based data replication applications, such as content delivery networks. Multiple self-interested players with private preferences own data objects for replication. Players compete for storage space among replication servers for placing replicas with the objective to optimize their own profits. Using mechanism design approach, the authors consider the problem as a sequential composition of knapsack auctions and design an algorithmic mechanism DRPMECH to aggregate players’ preferences and approximate a social efficient allocation for the problem. This work analyzes both the economic and computational properties of DRPMECH, validates the properties using experiments, and compares its performance against related game-theoretical solutions.
期刊介绍:
As information technology and the Internet become more and more ubiquitous and pervasive in our daily lives, there is an essential need for a more thorough understanding of information security and privacy issues and concerns. The International Journal of Information Security and Privacy (IJISP) creates and fosters a forum where research in the theory and practice of information security and privacy is advanced. IJISP publishes high quality papers dealing with a wide range of issues, ranging from technical, legal, regulatory, organizational, managerial, cultural, ethical and human aspects of information security and privacy, through a balanced mix of theoretical and empirical research articles, case studies, book reviews, tutorials, and editorials. This journal encourages submission of manuscripts that present research frameworks, methods, methodologies, theory development and validation, case studies, simulation results and analysis, technological architectures, infrastructure issues in design, and implementation and maintenance of secure and privacy preserving initiatives.