Enabling a highly-scalable, cloud-based microservices architecture
实现高度可扩展、基于云的微服务架构
基本信息
- 批准号:513199-2017
- 负责人:
- 金额:$ 5.44万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Collaborative Research and Development Grants
- 财政年份:2018
- 资助国家:加拿大
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The goals of this research are to design, build and evaluate mechanisms that enable a highly-scalable, cloud-based microservices architecture to support future, cloud-based enterprise applications. Here, enterprise applications will be instances of microservices architectures that are comprised of many services. The future scale of operation will measure hundreds of thousands of service instances.****Cloud customers desire infinite computing needs for their applications but cloud provides have finite computing resources to work with. It is not uncommon that data centers are reaching their physical limitations in terms of space and operating cost. Today, the pragmatic solution applied by cloud providers to satisfy high-value customers is to provide them with dedicated, highly expensive, and powerful hardware, while other hardware resources remain heavily shared among other customers. However, computing needs of customers, whether high-value or other, are often over-stated, either inadvertently or on purpose, such that expensive physical resources may sit around idle at times, while other close by resources in the same data center are pushed to their limits. Also, not all hosted applications are expected to experience peak load at all times, such that some degree of physical resource over-provisioning is possible.****In our approach services will be encapsulated in containers. Containers are lightweight virtual machines. They offer isolation, fast on demand start-up, and live migration, at a low resource footprint, as compared to their heavier weight virtual machine counterparts. Our approach will leverage novel hybrid scaling techniques that dynamically scale the compute, networking and storage resources of containers up and down in order to meet the performance expectations expressed by customers on their applications, while minimizing physical resource usage for the cloud provider.
这项研究的目标是设计、构建和评估机制,使高度可扩展的基于云的微服务架构能够支持未来基于云的企业应用程序。在这里,企业应用程序将是由许多服务组成的微服务架构的实例。未来的运营规模将达到数十万个服务实例。*云客户希望其应用程序具有无限的计算需求,但云提供商只能使用有限的计算资源。数据中心在空间和运营成本方面达到其物理限制并不罕见。 如今,云计算提供商为满足高价值客户而采用的务实解决方案是为他们提供专用、昂贵且功能强大的硬件,而其他硬件资源仍在其他客户之间大量共享。然而,客户的计算需求,无论是高价值的还是其他的,经常被无意地或故意地夸大,使得昂贵的物理资源有时可能闲置,而同一数据中心中的其他邻近资源被推到其极限。此外,并非所有托管应用程序都期望在任何时候都经历峰值负载,因此可能存在某种程度的物理资源过度配置。在我们的方法中,服务将被封装在容器中。 容器是轻量级虚拟机。 它们提供隔离、快速按需启动和实时迁移,与重量更大的虚拟机相比,占用资源更少。我们的方法将利用新颖的混合扩展技术,动态地向上和向下扩展容器的计算,网络和存储资源,以满足客户对其应用程序的性能期望,同时最大限度地减少云提供商的物理资源使用。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jacobsen, HansArno其他文献
Jacobsen, HansArno的其他文献
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{{ truncateString('Jacobsen, HansArno', 18)}}的其他基金
Learning Clouds
学习云
- 批准号:
RGPIN-2020-05819 - 财政年份:2022
- 资助金额:
$ 5.44万 - 项目类别:
Discovery Grants Program - Individual
Learning Clouds
学习云
- 批准号:
RGPIN-2020-05819 - 财政年份:2021
- 资助金额:
$ 5.44万 - 项目类别:
Discovery Grants Program - Individual
Enabling a highly-scalable, cloud-based microservices architecture
实现高度可扩展、基于云的微服务架构
- 批准号:
513199-2017 - 财政年份:2020
- 资助金额:
$ 5.44万 - 项目类别:
Collaborative Research and Development Grants
Learning Clouds
学习云
- 批准号:
RGPIN-2020-05819 - 财政年份:2020
- 资助金额:
$ 5.44万 - 项目类别:
Discovery Grants Program - Individual
Accelerating Data Analytics Through Emerging Software-Hardware Mechanisms
通过新兴软硬件机制加速数据分析
- 批准号:
RGPIN-2015-04358 - 财政年份:2019
- 资助金额:
$ 5.44万 - 项目类别:
Discovery Grants Program - Individual
Enabling a highly-scalable, cloud-based microservices architecture
实现高度可扩展、基于云的微服务架构
- 批准号:
513199-2017 - 财政年份:2019
- 资助金额:
$ 5.44万 - 项目类别:
Collaborative Research and Development Grants
ETCHING: Edge-To-Cloud Heterogeneous Infrastructure NetworkinG
ETCHING:边缘到云异构基础设施网络
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RTI-2020-00136 - 财政年份:2019
- 资助金额:
$ 5.44万 - 项目类别:
Research Tools and Instruments
Accelerating Data Analytics Through Emerging Software-Hardware Mechanisms
通过新兴软硬件机制加速数据分析
- 批准号:
RGPIN-2015-04358 - 财政年份:2018
- 资助金额:
$ 5.44万 - 项目类别:
Discovery Grants Program - Individual
Accelerating Data Analytics Through Emerging Software-Hardware Mechanisms
通过新兴软硬件机制加速数据分析
- 批准号:
RGPIN-2015-04358 - 财政年份:2017
- 资助金额:
$ 5.44万 - 项目类别:
Discovery Grants Program - Individual
Accelerating Data Analytics Through Emerging Software-Hardware Mechanisms
通过新兴软硬件机制加速数据分析
- 批准号:
RGPIN-2015-04358 - 财政年份:2016
- 资助金额:
$ 5.44万 - 项目类别:
Discovery Grants Program - Individual
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