Cloud Computing Crud

Cloud Computing Crud

The marketing of hardware, software and services always includes a large helping of FUD.

Fear, uncertainty and doubt (FUD) is a tactic used in sales, marketing, public relations, politics and propaganda.

FUD is generally a strategic attempt to influence perception by disseminating negative and dubious or false information. An individual firm, for example, might use FUD to invite unfavorable opinions and speculation about a competitor’s product; to increase the general estimation of switching costs among current customers; or to maintain leverage over a current business partner who could potentially become a rival.

The term originated to describe disinformation tactics in the computer hardware industry but has since been used more broadly.

FUD is a manifestation of the appeal to fear.,_uncertainty_and_doubt

This is especially true when the marketers are peddling CRUD.

crud: something unpleasant or worthless

Therefore, it is highly likely that the usual suspects will be mired in FUD and CRUD when they are to marketing Cloud Computing.

In common usage the term “the cloud” is essentially a metaphor for the Internet.

Marketers have further popularized the phrase “in the cloud” to refer to software, platforms and infrastructure that are sold “as a service”, i.e. remotely through the Internet.

Typically, the seller has actual energy-consuming servers which host products and services from a remote location, so end-users don’t have to; they can simply log on to the network without installing anything.

The major models of cloud computing service are known as software as a service, platform as a service, and infrastructure as a service.
Cloud computing

The dark, yawning chasm that lies between reality and the marketing hype surrounding Cloud Computing was eloquently illuminated by Alistair Dabbs [and subsequent user comments] in The Register [aka Vulture Central] this week.

The Register

Adobe’s spectacular FAIL over the last 48 hours confirmed, rather than revealed, cloud computing to be so unreliable as to be positively dangerous.

Cloud computing is shite.

It takes over everything you’ve got, then farts in your face and runs away giggling.

Therefore, be cautious before investing in Cloud Computing big time.

Several deterrents to the widespread adoption of cloud computing remain.

Among them, are: reliability, availability of services and data, security, complexity, costs, regulations and legal issues, performance, migration, reversion, the lack of standards, limited customization and issues of privacy.

The increased use of cloud computing services such as Gmail and Google Docs has pressed the issue of privacy concerns of cloud computing services to the utmost importance.
The provider of such services lie in a position such that with the greater use of cloud computing services has given access to a plethora of data.

This access has the immense risk of data being disclosed either accidentally or deliberately.

Privacy advocates have criticized the cloud model for giving hosting companies’ greater ease to control – and thus, to monitor at will – communication between host company and end user, and access user data (with or without permission).

Instances such as the secret NSA program, working with AT&T, and Verizon, which recorded over 10 million telephone calls between American citizens, causes uncertainty among privacy advocates, and the greater powers it gives to telecommunication companies to monitor user activity.

A cloud service provider (CSP) can complicate data privacy because of the extent of virtualization (virtual machines) and cloud storage used to implement cloud service.

CSP operations, customer or tenant data may not remain on the same system, or in the same data center or even within the same provider’s cloud; this can lead to legal concerns over jurisdiction.

While there have been efforts (such as US-EU Safe Harbor) to “harmonise” the legal environment, providers such as Amazon still cater to major markets (typically to the United States and the European Union) by deploying local infrastructure and allowing customers to select “regions and availability zones”.

Cloud computing poses privacy concerns because the service provider can access the data that is on the cloud at any time.

It could accidentally or deliberately alter or even delete information.

This becomes a major concern as these service providers, who employ administrators which can leave room for potential unwanted disclosure of information on the cloud.

To comply with regulations including FISMA, HIPAA, and SOX in the United States, the Data Protection Directive in the EU and the credit card industry’s PCI DSS, users may have to adopt community or hybrid deployment modes that are typically more expensive and may offer restricted benefits.

This is how Google is able to “manage and meet additional government policy requirements beyond FISMA” and Rackspace Cloud or QubeSpace are able to claim PCI compliance.

Many providers also obtain a SAS 70 Type II audit, but this has been criticised on the grounds that the hand-picked set of goals and standards determined by the auditor and the auditee are often not disclosed and can vary widely.

Providers typically make this information available on request, under non-disclosure agreement.

Customers in the EU contracting with cloud providers outside the EU/EEA have to adhere to the EU regulations on export of personal data.

U.S. Federal Agencies have been directed by the Office of Management and Budget to use a process called FedRAMP (Federal Risk and Authorization Management Program) to assess and authorize cloud products and services.

Federal CIO Steven VanRoekel issued a memorandum to federal agency Chief Information Officers on December 8, 2011 defining how federal agencies should use FedRAMP.

FedRAMP consists of a subset of NIST Special Publication 800-53 security controls specifically selected to provide protection in cloud environments.

A subset has been defined for the FIPS 199 low categorization and the FIPS 199 moderate categorization.

The FedRAMP program has also established a Joint Accreditation Board (JAB) consisting of Chief Information Officers from DoD, DHS and GSA.

The JAB is responsible for establishing accreditation standards for 3rd party organizations who perform the assessments of cloud solutions.

The JAB also reviews authorization packages, and may grant provisional authorization (to operate).

The federal agency consuming the service still has final responsibility for final authority to operate.

A multitude of laws and regulations have forced specific compliance requirements onto many companies that collect, generate or store data.

These policies may dictate a wide array of data storage policies, such as how long information must be retained, the process used for deleting data, and even certain recovery plans.

Below are some examples of compliance laws or regulations.

United States, the Health Insurance Portability and Accountability Act (HIPAA) requires a contingency plan that includes, data backups, data recovery, and data access during emergencies.

The privacy laws of Switzerland demand that private data, including emails, be physically stored in Switzerland.

In the United Kingdom, the Civil Contingencies Act of 2004 sets forth guidance for a business contingency plan that includes policies for data storage.

In a virtualized cloud computing environment, customers may never know exactly where their data is stored.

In fact, data may be stored across multiple data centers in an effort to improve reliability, increase performance, and provide redundancies.

This geographic dispersion may make it more difficult to ascertain legal jurisdiction if disputes arise.

As with other changes in the landscape of computing, certain legal issues arise with cloud computing, including trademark infringement, security concerns and sharing of proprietary data resources.

The Electronic Frontier Foundation has criticized the United States government during the Megaupload seizure process for considering that people lose property rights by storing data on a cloud computing service.

One important but not often mentioned problem with cloud computing is the problem of who is in “possession” of the data.

If a cloud company is the possessor of the data, the possessor has certain legal rights.

If the cloud company is the “custodian” of the data, then a different set of rights would apply.

The next problem in the legalities of cloud computing is the problem of legal ownership of the data.

Many Terms of Service agreements are silent on the question of ownership.

These legal issues are not confined to the time period in which the cloud-based application is actively being used.

There must also be consideration for what happens when the provider-customer relationship ends.

In most cases, this event will be addressed before an application is deployed to the cloud.

However, in the case of provider insolvencies or bankruptcy the state of the data may become blurred.

Vendor lock-in
Because cloud computing is still relatively new, standards are still being developed.

Many cloud platforms and services are proprietary, meaning that they are built on the specific standards, tools and protocols developed by a particular vendor for its particular cloud offering.

This can make migrating off a proprietary cloud platform prohibitively complicated and expensive.

Three types of vendor lock-in can occur with cloud computing:

Platform lock-in: cloud services tend to be built on one of several possible virtualization platforms, for example VMWare or Xen. Migrating from a cloud provider using one platform to a cloud provider using a different platform could be very complicated.

Data lock-in: since the cloud is still new, standards of ownership, i.e. who actually owns the data once it lives on a cloud platform, are not yet developed, which could make it complicated if cloud computing users ever decide to move data off of a cloud vendor’s platform.

Tools lock-in: if tools built to manage a cloud environment are not compatible with different kinds of both virtual and physical infrastructure, those tools will only be able to manage data or apps that live in the vendor’s particular cloud environment.

Heterogeneous cloud computing is described as a type of cloud environment that prevents vendor lock-in, and aligns with enterprise data centers that are operating hybrid cloud models.

The absence of vendor lock-in lets cloud administrators select his or her choice of hypervisors for specific tasks, or to deploy virtualized infrastructures to other enterprises without the need to consider the flavor of hypervisor in the other enterprise.

A heterogeneous cloud is considered one that includes on-premise private clouds, public clouds and software-as-a-service clouds.

Heterogeneous clouds can work with environments that are not virtualized, such as traditional data centers.

Heterogeneous clouds also allow for the use of piece parts, such as hypervisors, servers, and storage, from multiple vendors.

Cloud piece parts, such as cloud storage systems, offer APIs but they are often incompatible with each other.

The result is complicated migration between backends, and makes it difficult to integrate data spread across various locations.

This has been described as a problem of vendor lock-in.

The solution to this is for clouds to adopt common standards.

Heterogeneous cloud computing differs from homogeneous clouds, which have been described as those using consistent building blocks supplied by a single vendor.

Intel General Manager of high-density computing, Jason Waxman, is quoted as saying that a homogeneous system of 15,000 servers would cost $6 million more in capital expenditure and use 1 megawatt of power.

Most cloud providers expose APIs that are typically well documented (often under a Creative Commons license) but also unique to their implementation and thus not interoperable.

Some vendors have adopted others’ APIs and there are a number of open standards under development, with a view to delivering interoperability and portability.

As cloud computing is achieving increased popularity, concerns are being voiced about the security issues introduced through adoption of this new model.

The effectiveness and efficiency of traditional protection mechanisms are being reconsidered as the characteristics of this innovative deployment model can differ widely from those of traditional architectures.

An alternative perspective on the topic of cloud security is that this is but another, although quite broad, case of “applied security” and that similar security principles that apply in shared multi-user mainframe security models apply with cloud security.

The relative security of cloud computing services is a contentious issue that may be delaying its adoption.

Physical control of the Private Cloud equipment is more secure than having the equipment off site and under someone else’s control.

Physical control and the ability to visually inspect data links and access ports is required in order to ensure data links are not compromised.

Issues barring the adoption of cloud computing are due in large part to the private and public sectors’ unease surrounding the external management of security-based services.

It is the very nature of cloud computing-based services, private or public, that promote external management of provided services.

This delivers great incentive to cloud computing service providers to prioritize building and maintaining strong management of secure services.

Security issues have been categorised into sensitive data access, data segregation, privacy, bug exploitation, recovery, accountability, malicious insiders, management console security, account control, and multi-tenancy issues. Solutions to various cloud security issues vary, from cryptography, particularly public key infrastructure (PKI), to use of multiple cloud providers, standardisation of APIs, and improving virtual machine support and legal support.

Cloud computing offers many benefits, but is vulnerable to threats.

As cloud computing uses increase, it is likely that more criminals find new ways to exploit system vulnerabilities.

Many underlying challenges and risks in cloud computing increase the threat of data compromise.

To mitigate the threat, cloud computing stakeholders should invest heavily in risk assessment to ensure that the system encrypts to protect data, establishes trusted foundation to secure the platform and infrastructure, and builds higher assurance into auditing to strengthen compliance.

Security concerns must be addressed to maintain trust in cloud computing technology.

Data breach is a big concern in cloud computing.

A compromised server could significantly harm the users as well as cloud providers.

A variety of information could be stolen.

These include credit card and social security numbers, addresses, and personal messages.

The U.S. now requires cloud providers to notify customers of breaches.

Once notified, customers now have to worry about identity theft and fraud, while providers have to deal with federal investigations, lawsuits and reputational damage.

Customer lawsuits and settlements have resulted in over $1 billion in losses to cloud providers.

Performance interference and noisy neighbors
Due to its multi-tenant nature and resource sharing, cloud computing must also deal with the “noisy neighbor” effect.

This effect in essence indicates that in a shared infrastructure, the activity of a virtual machine on a neighboring core on the same physical host may lead to increased performance degradation of the VMs in the same physical host, due to issues such as e.g. cache contamination.

Due to the fact that the neighboring VMs may be activated or deactivated at arbitrary times, the result is an increased variation in the actual performance of Cloud resources.

This effect seems to be dependent on the nature of the applications that run inside the VMs but also other factors such as scheduling parameters and the careful selection may lead to optimized assignment in order to minimize the phenomenon.

This has also led to difficulties in comparing various cloud providers on cost and performance using traditional benchmarks for service and application performance, as the time period and location in which the benchmark is performed can result in widely varied results.

This observation has led in turn to research efforts to make cloud computing applications intrinsically aware of changes in the infrastructure so that the application can automatically adapt to avoid failure.

Monopolies and privatization of cyberspace
Philosopher Slavoj Žižek points out that, although cloud computing enhances content accessibility, this access is “increasingly grounded in the virtually monopolistic privatization of the cloud which provides this access”.

According to him, this access, necessarily mediated through a handful of companies, ensures a progressive privatization of global cyberspace.

Žižek criticises the argument purported by supporters of cloud computing that this phenomenon is part of the “natural evolution” of the Internet, sustaining that the quasi-monopolies “set prices at will but also filter the software they provide to give its “universality” a particular twist depending on commercial and ideological interests.”

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2 Responses to Cloud Computing Crud

  1. uldissprogis says:

    Very informative. Thanks.

  2. Pingback: THE TRUTH ABOUT CLOUD COMPUTING | uldissprogis

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