“I want to tame the winds and keep them on a leash… I want a pack of winds, fleet-footed hounds, to hunt the puffed-up, whiskery clouds.” ‒ F.T. Marinetti.

♦ ♦ ♦

Cartography of the Cloud

 It would be pointless to discuss synnefocracy in any further depth without first defining what The Cloud actually is. Briskly, The Cloud is both a colorful placeholder for a particular modular information arrangement utilizing the internet and a design philosophy. Clouds always use the internet, but are not synonymous with it. The metaphor illustrates informational exchange and storage that is not principally mediated through locally based hardware systems, but rather ones wherein hardware is utilized locally, but accessed remotely. The Cloud is what allows one to begin watching a film on one’s laptop and seamlessly finish watching on one’s tablet. It is what allows one daily access to an email without ever having to consider the maintenance of the hardware upon which the data in the email account is stored. The more independent and modular one’s software becomes from its hardware, the more ‘cloud-like’ that software is. It is not that The Cloud is merely the software, but that the storage size, speed and modularity are all aspects of the system-genre’s seemingly ephemeral nature. Utilization of a computer system rather than a single computer increases efficiency (and thus demands modularity) creating a multi-cascading data slipstream, the full geopolitical effects of which have, up til now, been relatively poorly understood and even more poorly articulated, chronicled and speculated upon, both within popular and academic discourse (and I should add that it is not here my purpose to craft any definitive document upon the topic, but rather to invite a more robust investigation).

Cloud computing architecture offers a number of benefits over traditional computing arrangements, namely in terms of scalability, given that anytime computing power is lacking (for instance, if one had a website that was getting overloaded with traffic), one can simply dip into a accessible cloud and increase one’s server size. Since one never has to actually mess about with any of the physical hardware being utilized to increase computing power, significant time (which would otherwise be spent modulating and setting up servers manually) and money (that would be spent maintaining extra hardware or paying others to maintain it for you) is saved. The fact that one (generally speaking) pays only for the amount of cloud-time one needs for their project also saves money and manpower (in contradistinction to traditional on-premise architecture which would require one to pay for all the hardware necessary, upfront) is another clear benefit.

This combination of speed, durability, flexibility and affordability makes cloud computing a favorite for big businesses and ambitious, tech-savvy startups and, as a consequence, have turned cloud computing itself into a major industry. There are two distinctive types of cloud computing: the deployment model and the service model. In the deployment model there are three sub-categories: public, private and hybrid. The best way of thinking about each model is by conceptualizing vehicular modes of transportation. A bus is accessible to anyone who can pay for the ride; this is analogous to the public cloud wherein you pay only for the resources used and the time spent using them and when one is finished one simply stops paying or, to extend our metaphor, one gets off the bus. Contrarily, a private cloud is akin to a personally owned car, where one pays a large amount of money up-front and must continue paying for the use of the car, however, it is the sole property of the owner who can do with it what he or she will (within the bounds of the law). Lastly, there is the hybrid cloud, which most resembles a taxi, where one wants the private comfort of a personal car, but the low-cost accessibility of a bus.

Some prominent public cloud providers on the market as of this writing include: Amazon Web Services (AWS), Microsoft Azure, IBM’s Blue Cloud as well as Sun Cloud. Prominent private cloud providers include AWS and VMware.

Cloud service models, when categorized most broadly, break down into three sub-categories: On-premises (Op1), Infrastructure as a service (IaaS), Platform as a service (PaaS), and, Software as a service (SaaS).

The impact of cloud computing upon sovereignty, particularly, but not exclusively, of states, is scantly remarked upon, but it is significant and is bound up within the paradigm shift towards globalization, however, it is not synonymous with globalization which is frankly, a rather clumsy term, as it does not specify what, precisely, is being globalized (certainly — within certain timescales, to be defined per polity — some things should not be globalized and others should, this requires considerable unpacking and, as a consequence shall not be expounded upon here).

Given that the internet is crucial for national defense (cyber security, diplomatic back-channels, internal coordination, etc) and that the favored computing architecture (presently – due the previously mentioned benefits) is cloud computing, it is only natural that states would begin gravitating towards public and private cloud-based systems and integrating them into their operations. The problem presented by this operational integration is that, due the technical specificity involved in setting up and maintaining such systems, it is cheaper, more convenient and efficient for a given state to hire-out the job to big tech corporations rather than create the architecture themselves and, in many cases, state actors simply do not know how (because most emerging technologies are created through the private sector).

The more cloud-centric a polity, the greater the power of the cloud architects and managers therein. This is due to several factors, the first and most obvious of which is simply that any sovereign governance structure (SGS) of sufficient size requires a parameterization of data flows for coordination. It is not enough for the central component of an SGS to know and sense, but to ensure that all its subcomponents know what it senses as well (to varying degrees) and to have reliable ways to ensure that what is sensed and processed is delivered thereto; pathways which the SGS itself cannot, by and large, provide nor maintain.

Here enters the burgeoning proto-synnefocratic powers; not seizing power from, but giving more power to, proximal SGSs, and in so-doing, become increasingly indispensable thereto. Important to consider, given that those factions which are best able to control, not just the major data-flows, but the topological substrates upon and through which those flows travel, will be those who ultimately control the largest shares of the system.

1Op is not a common annotation. Utilized for brevity. However, IaaS, PaaS and SaaS are all commonly utilized by those in the IT industry and other attendant fields.


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