{"title":"首先看看OpenStack中的bug","authors":"Washington Garcia, Theophilus A. Benson","doi":"10.1145/3010079.3010086","DOIUrl":null,"url":null,"abstract":"An increasing amount of popular services are utilizing cloud infrastructure due to its convenience, low cost, and scalability. However, as more services turn to cloud as a means of storing and delivering data to consumers, the faults of cloud infrastructure become more apparent. When cloud infrastructure fails, the consequences are disastrous, with failures making national headlines. Popular services such as Amazon, Quora, Netflix, and many social media sites all rely on cloud computing at their core. Although new cloud infrastructures have sprouted in recent years, there is limited knowledge about what type of bugs they contain, and how these bugs affect quality of service of cloud components. We propose a system that can automatically classify bug tickets using the natural language descriptions provided by developers. We then utilize this system to classify a random sub-sample of 30k OpenStack bugs, and reveal trends related to OpenStack releases, priority assignments, and project characteristics. For example, we find that existing issues make up over 70% of bugs in OpenStack modules, with over half of these bugs corresponding to reliability.","PeriodicalId":286425,"journal":{"name":"Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A First Look at Bugs in OpenStack\",\"authors\":\"Washington Garcia, Theophilus A. Benson\",\"doi\":\"10.1145/3010079.3010086\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An increasing amount of popular services are utilizing cloud infrastructure due to its convenience, low cost, and scalability. However, as more services turn to cloud as a means of storing and delivering data to consumers, the faults of cloud infrastructure become more apparent. When cloud infrastructure fails, the consequences are disastrous, with failures making national headlines. Popular services such as Amazon, Quora, Netflix, and many social media sites all rely on cloud computing at their core. Although new cloud infrastructures have sprouted in recent years, there is limited knowledge about what type of bugs they contain, and how these bugs affect quality of service of cloud components. We propose a system that can automatically classify bug tickets using the natural language descriptions provided by developers. We then utilize this system to classify a random sub-sample of 30k OpenStack bugs, and reveal trends related to OpenStack releases, priority assignments, and project characteristics. For example, we find that existing issues make up over 70% of bugs in OpenStack modules, with over half of these bugs corresponding to reliability.\",\"PeriodicalId\":286425,\"journal\":{\"name\":\"Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3010079.3010086\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3010079.3010086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An increasing amount of popular services are utilizing cloud infrastructure due to its convenience, low cost, and scalability. However, as more services turn to cloud as a means of storing and delivering data to consumers, the faults of cloud infrastructure become more apparent. When cloud infrastructure fails, the consequences are disastrous, with failures making national headlines. Popular services such as Amazon, Quora, Netflix, and many social media sites all rely on cloud computing at their core. Although new cloud infrastructures have sprouted in recent years, there is limited knowledge about what type of bugs they contain, and how these bugs affect quality of service of cloud components. We propose a system that can automatically classify bug tickets using the natural language descriptions provided by developers. We then utilize this system to classify a random sub-sample of 30k OpenStack bugs, and reveal trends related to OpenStack releases, priority assignments, and project characteristics. For example, we find that existing issues make up over 70% of bugs in OpenStack modules, with over half of these bugs corresponding to reliability.
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