Proceedings of the 22nd International Middleware Conference: Extended Abstracts最新文献

Towards transparent and trustworthy cloud carbon accounting 走向透明可信的云碳核算

Proceedings of the 22nd International Middleware Conference: Extended Abstracts Pub Date : 2021-12-06 DOI: 10.1145/3501255.3501408

T. Eilam

{"title":"Towards transparent and trustworthy cloud carbon accounting","authors":"T. Eilam","doi":"10.1145/3501255.3501408","DOIUrl":"https://doi.org/10.1145/3501255.3501408","url":null,"abstract":"Climate Change is arguably the biggest challenge that humanity faces today. Multiple trends such as the exponential explosion of data transfer, the emergence and popularity of power intensive workloads such as AI, and the flattening of Moore's law contribute to a rising concern over the increasing carbon footprint cost of digital computation. Any effective strategy to reduce the energy consumption and associated carbon footprint of computations must begin with an accurate and transparent quantification method. However, while most businesses today run a significant portion of their workloads on third party cloud environments, transparent carbon quantification of tenant workloads in cloud environments is lacking. This regretful situation inhibits reliable reporting of Scope 3 Green House Gas (GHG) by cloud users, meaningful comparison of cloud carbon efficiencies, and measurable reduction strategies. In this extended abstract we explain the unique challenges that arise in multi-tenant cloud environments, and propose and discuss an approach, consistent with the GHG Protocol, for cloud carbon footprint quantification. The quantification is a first step towards sustainable cloud environments, that employ dynamic controllers to quantify and reduce the carbon footprint at every layer of the cloud stack.","PeriodicalId":362383,"journal":{"name":"Proceedings of the 22nd International Middleware Conference: Extended Abstracts","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116717085","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}

引用次数: 3

Proceedings of the 22nd International Middleware Conference: Extended Abstracts 第22届国际中间件会议论文集:扩展摘要

Proceedings of the 22nd International Middleware Conference: Extended Abstracts Pub Date : 2021-12-06 DOI: 10.1145/3501255

引用次数: 0

Connected and autonomous vehicles as a grand challenge for middleware in cyber-physical systems 联网和自动驾驶汽车对网络物理系统中的中间件构成了巨大挑战

Proceedings of the 22nd International Middleware Conference: Extended Abstracts Pub Date : 2021-12-06 DOI: 10.1145/3501255.3501406

R. Rajkumar

引用次数: 0

The cloud to things continuum: infrastructure and management 云到事物的连续性:基础设施和管理

Proceedings of the 22nd International Middleware Conference: Extended Abstracts Pub Date : 2021-12-06 DOI: 10.1145/3501255.3501407

R. Boutaba

{"title":"The cloud to things continuum: infrastructure and management","authors":"R. Boutaba","doi":"10.1145/3501255.3501407","DOIUrl":"https://doi.org/10.1145/3501255.3501407","url":null,"abstract":"The advent of IoT has seen an explosive growth in the number of connected devices generating a large variety of data in high volumes at high velocities. The unique set of requirements posed by IoT demands innovation in the communication and information infrastructure. Such infrastructure should be massively distributed for achieving scalability; highly interoperable for seamless interaction between different enabling technologies; highly flexible for collecting, fusing, mining, and processing IoT data; and easily programmable for service orchestration and application-enablement. This talk will discuss our experience developing and operating such an infrastructure across Canada as part of the Smart Applications on Virtualized Infrastructure project, highlighting some of the underlying management challenges. In particular, traditional human-in-the-loop management operations are costly, error-prone, and slow to adapt to changes. Automation can address these challenges and has been the holy grail of network management research for decades, however with limited practical deployment. Several factors can be attributed to this, including the existence of many stakeholders with conflicting goals, reliance on proprietary solutions, the inability to process network monitoring data at scale, and the lack of global visibility restricting network-wide optimizations. We believe that the stars are now aligned to realize this long-term vision thanks to advances in network softwarization, recent breakthroughs in machine learning, and the availability of large-scale data processing platforms. This talk will discuss some of the research directions in this perspective with particular focus on programmable network monitoring leveraging network softwarization, predictive machine learning for automated management decision making, and on-demand orchestration of network services.","PeriodicalId":362383,"journal":{"name":"Proceedings of the 22nd International Middleware Conference: Extended Abstracts","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133314659","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}

引用次数: 1