Arshad Ali, R. McClatchey, A. Anjum, I. Habib, K. Soomro, Mohammed Asif, Ali Adil, Athar Mohsin
Grid computing has made substantial advances during the last decade. Grid middleware such as globus has contributed greatly in making this possible. There are, however, significant barriers to the adoption of grid computing in other fields, most notably day-to-day user computing environments. We will demonstrate in this paper that this is primarily due to the limitations of the existing grid middleware which does not take into account the needs of everyday scientific and business users. In this paper we will formally advocate a grid operating system and propose an architecture to migrate grid computing into a grid operating system which we believe would help remove most of the technical barriers to the adoption of grid computing and make it relevant to the day-to-day user. We believe this proposed transition to a grid operating system will drive more pervasive grid computing research and application development and deployment in future
{"title":"From Grid Middleware to a Grid Operating System","authors":"Arshad Ali, R. McClatchey, A. Anjum, I. Habib, K. Soomro, Mohammed Asif, Ali Adil, Athar Mohsin","doi":"10.1109/GCC.2006.49","DOIUrl":"https://doi.org/10.1109/GCC.2006.49","url":null,"abstract":"Grid computing has made substantial advances during the last decade. Grid middleware such as globus has contributed greatly in making this possible. There are, however, significant barriers to the adoption of grid computing in other fields, most notably day-to-day user computing environments. We will demonstrate in this paper that this is primarily due to the limitations of the existing grid middleware which does not take into account the needs of everyday scientific and business users. In this paper we will formally advocate a grid operating system and propose an architecture to migrate grid computing into a grid operating system which we believe would help remove most of the technical barriers to the adoption of grid computing and make it relevant to the day-to-day user. We believe this proposed transition to a grid operating system will drive more pervasive grid computing research and application development and deployment in future","PeriodicalId":280249,"journal":{"name":"2006 Fifth International Conference on Grid and Cooperative Computing (GCC'06)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130067071","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}
Grid computing has emerged as an effective means of facilitating the sharing of distributed heterogeneous resources, enabling collaboration in large scale environments. However, the nature of grid systems coupled with the overabundance and fragmentation of information, makes it difficult to monitor resources, services, and computations in order to plan and make decisions. In this paper we present Gridscape II, a customisable portal component that can be used on its own or plugged-in to compliment existing grid portals. Gridscape II manages the gathering of information from arbitrary, heterogeneous and distributed sources and presents them together seamlessly within a single interface. It also leverages the Google Maps API in order to provide a highly interactive user interface. Gridscape II is simple and easy to use, providing a solution to those users who do not wish to invest heavily in developing their own monitoring portal from scratch, and also for those users who want something easy to customise and extend for their specific needs
{"title":"Gridscape II: A Customisable and Pluggable Grid Monitoring Portal and its Integration with Google Maps","authors":"H. Gibbins, R. Buyya","doi":"10.1109/GCC.2006.52","DOIUrl":"https://doi.org/10.1109/GCC.2006.52","url":null,"abstract":"Grid computing has emerged as an effective means of facilitating the sharing of distributed heterogeneous resources, enabling collaboration in large scale environments. However, the nature of grid systems coupled with the overabundance and fragmentation of information, makes it difficult to monitor resources, services, and computations in order to plan and make decisions. In this paper we present Gridscape II, a customisable portal component that can be used on its own or plugged-in to compliment existing grid portals. Gridscape II manages the gathering of information from arbitrary, heterogeneous and distributed sources and presents them together seamlessly within a single interface. It also leverages the Google Maps API in order to provide a highly interactive user interface. Gridscape II is simple and easy to use, providing a solution to those users who do not wish to invest heavily in developing their own monitoring portal from scratch, and also for those users who want something easy to customise and extend for their specific needs","PeriodicalId":280249,"journal":{"name":"2006 Fifth International Conference on Grid and Cooperative Computing (GCC'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133095754","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}
Mingjun Xiao, Liusheng Huang, Yonglong Luo, Hong Shen
Privacy preserving decision tree classification algorithm is to solve such a distributed computation problem that the participant parties jointly build a decision tree over the data set distributed among them, and they do not want their private sensitive data to be revealed to others during the tree-building process. The existing privacy preserving decision tree classification algorithms over the data set horizontally partitioned and distributed among different parties only can cope with the data with discrete attribute values. This paper propose a solution to privacy preserving C4.5 algorithm based on secure multi-party computation techniques, which can securely build a decision tree over the horizontally partitioned data with both discrete and continuous attribute values. Moreover, we propose a secure two-party bubble sort algorithm to solve the privacy preserving sort problem in our solution
{"title":"Privacy Preserving C4.5 Algorithm Over Horizontally Partitioned Data","authors":"Mingjun Xiao, Liusheng Huang, Yonglong Luo, Hong Shen","doi":"10.1109/PDCAT.2005.191","DOIUrl":"https://doi.org/10.1109/PDCAT.2005.191","url":null,"abstract":"Privacy preserving decision tree classification algorithm is to solve such a distributed computation problem that the participant parties jointly build a decision tree over the data set distributed among them, and they do not want their private sensitive data to be revealed to others during the tree-building process. The existing privacy preserving decision tree classification algorithms over the data set horizontally partitioned and distributed among different parties only can cope with the data with discrete attribute values. This paper propose a solution to privacy preserving C4.5 algorithm based on secure multi-party computation techniques, which can securely build a decision tree over the horizontally partitioned data with both discrete and continuous attribute values. Moreover, we propose a secure two-party bubble sort algorithm to solve the privacy preserving sort problem in our solution","PeriodicalId":280249,"journal":{"name":"2006 Fifth International Conference on Grid and Cooperative Computing (GCC'06)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126217044","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}
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