Please visit the OpenStack wiki page.
Driving Cloudlet into Openstack: Cloud computing and mobile computing are two of the biggest forces in the marketplace today. OpenStack has a unique opportunity to become the dominant platform in the converged cloud-mobile world. At their convergence is an emerging new paradigm called edge computing, in which the resources of a small data center are placed in close proximity to mobile devices, sensors, and end users. Terms such as "cloudlets," "micro data centers," and "fog" have been used in the literature to refer to these small, edge-located data centers.
The Ericsson's WIND solution: a System for Management and Orchestration of Distributed Heterogeneous Clouds - Erlang Conference, July 2015 (slides and video are available from the erlang conference website).
Test report for OpenStack cascading solution to support 1 million VMs in 100 data centers by Huang Chaoyi et al., Huawei, March 2015 (do not to hesitate contact us if the link iis broken).
Huawei has released another document on the motivation of the cascading solution, directly available on their website.
The Distributed Cloud as the Future of the Cloud and the Internet by Rick McGeer, Chief Scientist, US Ignite (permanent link), Nov 2014
One more step towards a distributed OpenStack: Cascading OpenStack (October 2014)
Designed, developped and supported by Huawei, the cascading solution s been designed to operate a large scale distributed cloud, i.e., a cloud hosting millions of VMs in many data centers... (further informations available on the OpenStack summit October 2014)
``World wide Cloud (Cloud of Everyting) with a single (OpenStack) mamangement grid...'' The first talk we saw that really investigates the idea of a unique and global cloud system - Nicolas Chase, Mirantis
"As an industry, we should minimize data center energy costs any way we can, continuing to find innovative ways to increase efficiency inside datac enters. But many of today’s solutions address symptoms as opposed to root causes, and it is becoming increasingly obvious that the highly centralized nature of data centers is the dominant contributor to energy inefficiency. Fundamentally, there is no reason that the cloud needs to be architected this way, no law of nature preventing us from building less-centralized systems, where devices and computing resources live at or near the edge of the network instead of in a handful of centralized locations — a solution which sheds much of the cooling problem entirely, and can drastically reduce power overhead associated with data centers. I’m not the first to suggest this. The early Internet itself heralded decentralization, its pioneers eschewing centralized solutions as a core design principle. Others have suggested making datacenters smaller, or even moving racks of datacenter equipment into homes or businesses. "
An analysis from Martin Loschwitz regarding how OpenStack can be used in order to operate geographically spread OpenStack Clouds (slides are available on his github repo).
"Joe Weinman, author of Cloudonomics, points out that the economies-of-scale argument for cloud computing is terribly overblown. The value of the cloud has to do with pay-per-use dynamics, not with economies of scale. Indeed, a dispersed architecture has huge advantages such as proximity and latency reduction, not to mention the ability to address data sovereignty issues and local service delivery. The national hosting providers we talk to recognise that they can make their local knowledge, presence, cultural fit and existing customer base count in the successful development and delivery of cloud services."
"The fraction of files which are popular only in one ADSL area is rather small but far not negligible...A centralized cache can be used to cache files which are popular in all ADSL areas and medium cache servers to cache those files which are popular in a given ADSL area."