{"title":"A Domain-Based Data Distribution Strategy for Fault Tolerance","authors":"Fei Luo, Jianjun Yi","doi":"10.1109/ICSS.2013.46","DOIUrl":"https://doi.org/10.1109/ICSS.2013.46","url":null,"abstract":"The fault-tolerance is always one of the challenging problems faced with the ever-emerging large-scale cloud storage systems, where data distribution strategy is critical. In this paper, a two-stage data distribution strategy based on domain selection is provided to resolve multiple concurrent disk failures. First, the storage nodes are abstracted as disks in specific containers according to their geographical distribution and network environment, and the storage containers are further divided into different domains. Then by utilizing the proposed domain selection algorithm, r domains are selected from the total domains, where r is the number of copies of the data. Afterwards, each copy of the data is distributed into one of the selected domain, where the data will be stored in the virtual disk with the nearest hashing value in each of those r domains. Analysis and experiments are carried out, which show that the proposed data distribution strategy is efficient and can improve the fault-tolerance.","PeriodicalId":213782,"journal":{"name":"2013 International Conference on Service Sciences (ICSS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116534398","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":"Service Configuration Knowledge Representation and Reasoning Based on a Hybrid Approach","authors":"Jin Shen, Bin Wu","doi":"10.1109/ICSS.2013.47","DOIUrl":"https://doi.org/10.1109/ICSS.2013.47","url":null,"abstract":"To respond to diverse customer needs, services are customized and committed to certain configuration in a paradigm similar with product mass customization. In order to achieve efficient and effective service configuration in a sharable and reusable way, a hybrid approach based on ontologies and rules for representing and reasoning service configuration knowledge is presented in this paper. Structural knowledge is represented by ontology and formalized by OWL, resulting in well-defined semantics. In addition, rule knowledge is represented in SWRL, a rule language based on OWL. Actual configuration reasoning is thus implemented using JESS, a rule engine for the Java platform, based on knowledge base formed by SWRL and OWL. The proposed approach is finally illustrated with a case study for configuring a specific service called Care Pack.","PeriodicalId":213782,"journal":{"name":"2013 International Conference on Service Sciences (ICSS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130851989","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":"A Service Mode of Expert Finding in Social Network","authors":"Xiu Li, Jia-yu Ma, Yujiu Yang, Dongzhi Wang","doi":"10.1109/ICSS.2013.48","DOIUrl":"https://doi.org/10.1109/ICSS.2013.48","url":null,"abstract":"Expert finding addresses the task of finding the right person with the appropriate knowledge or skills. State-of-the-art expert finding algorithms usually estimate the relevance between the query and the support documents of candidates using language model. However, the language model has a limitation that all the query terms should occur in each support document, which results in some real experts cannot be searched. So for the process of analyzing textual content, we consider using a new model based on Explicit Semantic Analysis (ESA) rather than the language model. With the development of Internet technology, this is not the only way to find experts. In the modern social media, we can record person's social relationships which might be available for expert finding task. A simple truth is: a person's connections with experts will provide the potential evidence that he is a real expert. In this paper, we propose a new service pattern for expert finding that accounts for both documents' content and social relationships. The relationships in the social network are used in re-ranking experts on a given topic.","PeriodicalId":213782,"journal":{"name":"2013 International Conference on Service Sciences (ICSS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116828559","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}