Sapientia et Doctrina

Sunday 09th of December 2012 03:58:35 PM

Microsoft HelpBridge

Microsoft HelpBridge

Hello. Good folks at Microsoft have released a new Android app that lets you broadcast your condition in case of a disaster or an emergency. It will send SMS, and post to your Social Media contacts. You can define which one of your contacts will be notified.


Wednesday 21st of October 2009 06:08:40 AM

Sign up for the Technical Preview of Microsoft Office Web Apps

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Sunday 06th of September 2009 07:06:09 AM

NIST’s definition of Cloud Computing. What is Cloud Computing?

Filed under: Uncategorized — Tags: , , , , , , , , , , , , , — Saqib Ali @ 7:06 am

The following has been reproduced from NIST’s common set of definitions around cloud computing and its use cases. Experts at NIST developed this draft definition in collaboration with industry and government. It was developed as the foundation for a NIST special publication that will cover cloud architectures, security, and deployment strategies for the federal government.


Definition of Cloud Computing

Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment models.

Essential Characteristics

On-demand self-service. A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service’s provider.

Broad network access. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

Resource pooling. The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, network bandwidth, and virtual machines.

Rapid elasticity. Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time.

Measured Service. Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both the provider and consumer of the utilized service.

Service Models

Cloud Software as a Service (SaaS). The capability provided to the consumer is to use the provider’s applications running on a cloud infrastructure. The applications are accessible from various client devices through a thin client interface such as a web browser (e.g., web-based email). The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, storage, or even individual application capabilities, with the possible exception of limited user-specific application configuration settings.

Cloud Platform as a Service (PaaS). The capability provided to the consumer is to deploy onto the cloud infrastructure consumer-created or acquired applications created using programming languages and tools supported by the provider. The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, or storage, but has control over the deployed applications and possibly application hosting environment configurations.

Cloud Infrastructure as a Service (IaaS). The capability provided to the consumer is to provision processing, storage, networks, and other fundamental computing resources where the consumer is able to deploy and run arbitrary software, which can include operating systems and applications. The consumer does not manage or control the underlying cloud infrastructure but has control over operating systems, storage, deployed applications, and possibly limited control of select networking components (e.g., host firewalls).

Service Model Architectures
Service Model Architectures

Deployment Models

Private cloud. The cloud infrastructure is operated solely for an organization. It may be managed by the organization or a third party and may exist on premise or off premise.

Community cloud. The cloud infrastructure is shared by several organizations and supports a specific community that has shared concerns (e.g., mission, security requirements, policy, and compliance considerations). It may be managed by the organizations or a third party and may exist on premise or off premise.

Public cloud. The cloud infrastructure is made available to the general public or a large industry group and is owned by an organization selling cloud services.

Hybrid cloud. The cloud infrastructure is a composition of two or more clouds (private, community, or public) that remain unique entities but are bound together by standardized or proprietary technology that enables data and application portability (e.g., cloud bursting for load-balancing between clouds).

Cloud Software

Cloud software takes full advantage of the cloud paradigm by being service oriented with a focus on statelessness, low coupling, modularity, and semantic interoperability.

Security Advantages with Cloud Computing

  1. Data Fragmentation and Dispersal
  2. Dedicated Security Team
  3. Greater Investment in Security Infrastructure
  4. Fault Tolerance and Reliability
  5. Greater Resiliency
  6. Hypervisor Protection Against Network Attacks
  7. Possible Reduction of C&A Activities (Access to Pre-Accredited Clouds)
  8. Simplification of Compliance Analysis
  9. Data Held by Unbiased Party (cloud vendor assertion)
  10. Low-Cost Disaster Recovery and Data Storage Solutions
  11. On-Demand Security Controls
  12. Real-Time Detection of System Tampering
  13. Rapid Re-Constitution of Services
  14. Advanced Honeynet Capabilities

Security Challenges with Cloud Computing

  1. Data dispersal and international privacy laws
    1. EU Data Protection Directive and U.S. Safe Harbor program
    2. Exposure of data to foreign government and data subpoenas
    3. Data retention issues

  2. Need for isolation management
  3. Multi-tenancy
  4. Logging challenges
  5. Data ownership issues
  6. Quality of service guarantees
  7. Dependence on secure hypervisors
  8. Attraction to hackers (high value target)
  9. Security of virtual OSs in the cloud
  10. Possibility for massive outages
  11. Encryption needs for cloud computing
    1. Encrypting access to the cloud resource control interface
    2. Encrypting administrative access to OS instances
    3. Encrypting access to applications
    4. Encrypting application data at rest

  12. Public cloud vs internal cloud security
  13. Lack of public SaaS version control


Cloud Computing is a IP enabled, scalable, virtualized, multi-tenant, subscription based (or “pay as you”), B2B, service delivery method for business software applications, platform development, and adaptive infrastructure. i.e. SaaS based applications, PaaS based development, IaaS based infrastructure. (DePena, 2009)

DePena, R. (2009, August 16). The Beauty Of The Cloud. Retrieved September 05, 2009, from Competitive Business Innovations:

Mell, P., & Grance, T. (2009, August 8). National Institute of Standards and Technology – Cloud Computing. Retrieved September 4, 2009, from National Institute of Standards and Technology:

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