CSR: Medium: Next-Generation Cloud Federation via a Geo-Distributed Datastore

CSR：中：通过地理分布式数据存储的下一代云联合

基本信息

批准号：
1703560
负责人：
Chandra Krintz
金额：
$ 117.55万
依托单位：
University of California-Santa Barbara
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-07-01 至 2023-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1703560&HistoricalAwards=false
关键词：
CSR Medium Next Generation Cloud

项目摘要

Today's cloud computing systems offer users inexpensive and scalable access to a wide range of software services and resources that expedite development, deployment, and management of software and data. Different cloud vendors compete for these users via pricing, service capability and availability, scale, and ease of use, among other features. Despite their advantages, using any single cloud vendor alone limits user choice, results in vendor lock-in and "data gravity" (i.e., the storing of data with the vendor at which the user has previously stored data), and exposes users to greater risk of failures and privacy violations.This project addresses these limitations with new systems technologies that enable users to leverage multiple cloud infrastructures at once, safely and easily. In particular, it defines a new software abstraction for the scalable data management (datastore) layer, called DatGeo, that bridges geographically distributed cloud federations. The research will use DatGeo to develop new approaches for efficient transactions, partitioning and replication of data, and policy enforcement and mediation, across clouds.As a result, DatGeo will shield user applications from the complexities associated with low-level federation of individual cloud services, while facilitating location and privacy control, increased reliability, and transparent cross-cloud use and portability. To enable wide spread use, the project will make its research artifacts and systems prototypes available as open source. In addition, the project will result in new course materials and activities that engage diverse students, new to computer science from local high-school and teaching-focused colleges, to introduce them to computer science as a potential career path.

当今的云计算系统为用户提供了便宜且可扩展的访问，以加快软件和数据的开发，部署和管理的广泛软件服务和资源。不同的云供应商通过定价，服务能力和可用性，规模和易用性来争夺这些用户。 Despite their advantages, using any single cloud vendor alone limits user choice, results in vendor lock-in and "data gravity" (i.e., the storing of data with the vendor at which the user has previously stored data), and exposes users to greater risk of failures and privacy violations.This project addresses these limitations with new systems technologies that enable users to leverage multiple cloud infrastructures at once, safely and easily.特别是，它为可扩展数据管理（DataStore）层（称为Datgeo）定义了一个新的软件抽象，该层桥接地理分布式云联合会。这项研究将使用Datgeo开发新方法，以进行有效的交易，数据的分区和复制以及跨云的策略执行和调解。结果，Datgeo将使用户应用程序免受与单个云服务相关的复杂性，同时可靠的位置和私密性控制，可靠性和近距离交叉端声和端口性。为了实现广泛的利用，该项目将使其研究文物和系统原型作为开源。此外，该项目将产生新的课程材料和活动，这些课程材料和活动吸引了来自当地高中和注重教学学院的计算机科学新学生，将其介绍给计算机科学，以此作为潜在的职业道路。

项目成果

期刊论文数量（55）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Towards Distributed, Fair, Deadline-Driven Resource Allocation for Cloudlets

DOI：
10.1145/3366614.3368102
发表时间：
2019-01-01
期刊：
PROCEEDINGS OF THE 2019 4TH WORKSHOP ON MIDDLEWARE FOR EDGE CLOUDS & CLOUDLETS (MECC '19)
影响因子：
0
作者：
Dimopoulos, Stratos;Krintz, Chandra;Wolski, Rich
通讯作者：
Wolski, Rich

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