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EAGER: Resource Containers: Addressing Resource Heterogeneity for Cloud4Home Applications

EAGER: Resource Containers: Addressing Resource Heterogeneity for Cloud4Home Applications
EAGER:资源容器:解决 Cloud4Home 应用程序的资源异构性
批准号:
1148600
负责人:
Ada Gavrilovska
金额:
$17.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-10-01 至 2014-09-30

项目摘要

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中文摘要
翻译
该项目的重点是云计算。Cloud 4 Home项目致力于通过从当前的云计算“在云中”与“在边缘”模式转变为混合模式来增强服务和服务交付,在混合模式中,服务可以轻松地利用两种类型的资源。在云计算设施和基础设施迅速普及的同时,互联网外围使用的终端设备的能力也在不断增加,这一点甚至更为引人注目。事实上,主要硬件制造商每六个月就发布一次新的终端设备,而服务器系统通常会经历多年的更换周期。这就提出了一个有趣的挑战,即如何最好地将联合收割机提供的服务(如商业提供的服务)与可以在消费者设备(如智能手机、iPad或上网本、笔记本电脑和台式机节点以及游戏机)上有效运行的服务结合起来。特别地,纯粹基于端点的解决方案不能利用大规模数据中心中存在的大存储和计算能力。相反,当前的“瘦客户端”模型,其中终端设备“简单地访问互联网”,在访问和使用远程资源时可能遭受高的和可变的延迟。可向任一极端倾斜的解决方案将是(1)可以利用使用本地资源和利用本地可用状态的较低成本,并避免基于云的操作的数据隐私或安全性的潜在问题,与此同时(2)利用互联网资源时,这些都不妨碍不必要的成本,如高延迟或不必要的通信开销。这种增强服务的具体技术要求包括以下步骤: - 联合使用远程云平台与家庭、办公室或其他“私人”环境中可用的本地、附近资源; - 将状态和服务执行的物理位置与和这样的服务/状态对接的应用解耦,以及 - 公开聚合资源的各种能力的更高级别的“属性”,然后使用这种异构性来更好地满足应用需求和满足服务策略。为了实现这些目标,本项目引入了资源容器的系统级抽象,资源容器表示Cloud 4 Home环境中标记有特定属性或功能的资源池。资源容器将被实现,并与代表性的@home和服务器系统,并与服务,结合联合收割机计算与存储的需求进行评估。如果成功的话,Cloud 4 Home原型可以成为探索这些环境中无数其他挑战的宝贵工具-从动态资源发现到安全性和隐私。
英文摘要
The focus of this project is on cloud computing.The Cloud4Home project strives to enhance services and service delivery by moving from the current "in the cloud" vs. "at the edge" model of cloud computing to a hybrid model in which services can easily leverage both types of resources. Concurrent with the rapid gains in popularity of cloud computing facilities and infrastructure is an even more impressive continued increase in the capabilities of the end devices used in the Internet's periphery. In fact, major hardware manufacturers are releasing new end devices as frequently as every six months, whereas server systems typically experience a multi-year replacement cycle. This raise the interesting challenge of how to best combine cloud-provided services, like those offered commercially, with services that can efficiently run on consumer devices like smartphones, iPads or netbooks, laptops and desktops nodes, and game consoles. In particular, purely end-point based solutions cannot take advantage of the large storage and computational capacities present in large scale datacenters. Conversely, current "thin client" models in which end devices "simply access the Internet" can suffer from high and variable delays in accessing and using remote resources. Preferable to either extreme would be a solution that (1) can leverage the lower costs of using local resources and exploiting locally available state and avoid potential issues with data privacy or security for cloud-based operation, while at the same time (2) utilize Internet resources when those are not encumbered by undue costs like high latency or undue communication overheads.The specific technical requirements for such enhanced services include: -jointly using remote cloud platforms with local, nearby resources available in the home, office or other "private" environment; -decoupling the physical location of state and service execution from the applications that interface with such services/state, and -exposing higher-level "properties" of the diverse capabilities of the aggregate resources and then use this heterogeneity to better meeting application requirements and satisfy service policies.To achieve these goals, this project introduces the system-level abstraction of resource containers, which represent pools of resources in the Cloud4Home environment tagged with specific properties or features. Resource containers will be realized for and evaluated with representative @home and server systems and with services that combine computational with storage needs. If successful, the Cloud4Home prototype can be a valuable vehicle to explore the myriad of other challenges in these environments - from dynamic resource discovery to security and privacy.
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Travel: NSF Student Travel Grant for 2022 ACM Symposium on Cloud Computing (ACM SoCC).
  • 批准号:
    2246744
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.5万
  • 财政年份:
    2023
  • 负责人:
    Ada Gavrilovska
  • 依托单位:
Collaborative Research: PPoSS: LARGE: Scalable Specialization in Distributed Edge-Cloud Systems – The Extended Reality Case
  • 批准号:
    2217070
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $122.5万
  • 财政年份:
    2022
  • 负责人:
    Ada Gavrilovska
  • 依托单位:
CNS Core: Small: Bridging the Silos of Edge Computing with Connected Namespaces
  • 批准号:
    1909769
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2019
  • 负责人:
    Ada Gavrilovska
  • 依托单位:
SPX: Collaborative Research: Memory Fabric: Data Management for Large-scale Hybrid Memory Systems
  • 批准号:
    1822972
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.0万
  • 财政年份:
    2018
  • 负责人:
    Ada Gavrilovska
  • 依托单位:
海外基金