Virtual desktop infrastructure (VDI) is a term used to describe a system that emulates the typical desktop operating environment. VDI allows an individual client to connect to a server and access applications and computing resources as needed, without purchasing and maintaining the hardware required for this set-up. To know more visit Ace Cloud Hosting
Sharing the Cloud by Glen Roberts, CISSP
Presented at CUISPA 2012 Conference in Austin, TX on 2/21/2012.
CUISPA (Credit Union Information Security Professionals Association) is a national association of credit union information technology professionals focused on improving security and risk management through cooperation.
Virtualization and how it leads to cloudHuzefa Husain
What exactly is virtualization?
Types of virtualization
Current trend in virtualization
How virtualization leads to Cloud Computing?
Cloud Computing Stack
Virtual desktop infrastructure (VDI) is a term used to describe a system that emulates the typical desktop operating environment. VDI allows an individual client to connect to a server and access applications and computing resources as needed, without purchasing and maintaining the hardware required for this set-up. To know more visit Ace Cloud Hosting
Sharing the Cloud by Glen Roberts, CISSP
Presented at CUISPA 2012 Conference in Austin, TX on 2/21/2012.
CUISPA (Credit Union Information Security Professionals Association) is a national association of credit union information technology professionals focused on improving security and risk management through cooperation.
Virtualization and how it leads to cloudHuzefa Husain
What exactly is virtualization?
Types of virtualization
Current trend in virtualization
How virtualization leads to Cloud Computing?
Cloud Computing Stack
VMware vSphereTM 5.0 (“vSphere”) brings many new capabilities to extend the benefits of vSphere 4.1. These new features and enhancements to core capabilities in vSphere provide more performance optimization and easier provisioning, monitoring and troubleshooting. This paper focuses on the storage-specific features and enhancements that are available in vSphere 5.0 and provides an overview of how they optimize storage utilization, ease monitoring, and increase operational efficiency. Wherever possible, we will also provide use cases and requirements that might apply to these new functions.
The virtualization can be described in a generic way as a separation of the service request from the underlying physical delivery of that service. In computer virtualization, an additional layer called hypervisor is typically added between the hardware and the operating system. The hypervisor layer is responsible for both sharing of hardware resource and the enforcement of mandatory access control rules based on the available hardware resources.
There are three types of virtualization: full virtualization, para-virtualization and operating system level (OS-level) virtualization.
Model Manipulation Using Embedded DSLs in ScalaFilip Krikava
A short presentation (student talk category) given at the Scala Workshop 2013 in Montpellier, France (2.7.2013). This is slightly extended version to be more self-contained. It presents the basics of Sigma such as the common infrastructure support, model consistency checking and model transformation together with some perspectives of further deep embedding.
Slides from a talk given at our weekly lab seminar at NII, Tokyo. The talk is mostly based on Christopher Bailey et al's paper on "Self-Adaptive Federated Authorization Infrastructures", as well as related work I was involved with.
ACTRESS: Domain-Specific Modeling of Self-Adaptive Software ArchitecturesFilip Krikava
Presentation given at 29th Symposium On Applied Computing (SAC'14) - Dependable and Adaptive Distributed Systems track.
It is mainly based on the work done during my Ph.D.
The vision of Autonomic Computing and Self-Adaptive Software Systems aims at realizing software that autonomously manage itself in presence of varying environmental conditions. Feedback Control Loops (FCL) provide generic mechanisms for self-adaptation, however, incorporating them into software systems raises many challenges.
The first part of this thesis addresses the integration challenge, i.e., forming the architecture connection between the underlying adaptable software and the adaptation engine. We propose a domain-specific modeling language, FCDL, for integrating adaptation mechanisms into software systems through external FCLs. It raises the level of abstraction, making FCLs amenable to automated analysis and implementation code synthesis. The language supports composition, distribution and reflection thereby enabling coordination and composition of multiple distributed FCLs. Its use is facilitated by a modeling environment, ACTRESS, that provides support for modeling, verification and complete code generation. The suitability of our approach is illustrated on three real-world adaptation scenarios.
The second part of this thesis focuses on model manipulation as the underlying facility for implementing ACTRESS. We propose an internal Domain-Specific Language (DSL) approach whereby Scala is used to implement a family of DSLs, SIGMA, for model consistency checking and model transformations. The DSLs have similar expressiveness and features to existing approaches, while leveraging Scala versatility, performance and tool support.
To conclude this thesis we discuss further work and further research directions for MDE applications to self-adaptive software systems.
The presentation was given to Rivier Scala / Clojure User Group meeting on 10.6.2013. It is half-baked presentation. Will upload the final version when ready.
The first part is about DSLs in general, complexities in software engineering and abstraction. The seconds part presents an quick overview about DSLs in Scala and touches some of the technologies used for deep embedding.
Do Search-Based Approaches Improve the Design of Self-Adaptive Systems ? A Co...Sandro Andrade
Do Search-Based Approaches Improve the Design of Self-Adaptive Systems ? A Controlled Experiment
2o best paper award of the 28th Brazilian Symposium on Software Engineering - SBES
Architectural Design Spaces for Feedback Control in Self-Adaptive Systems Con...Sandro Andrade
Presented at 25th International Conference on Software Engineering and Knowledge Engineering (SEKE 2013) - Boston/MA - EUA.
A lot of current research efforts in self-adaptive systems community have been dedicated to the explicit modeling of architectural aspects related to system self-awareness and context-awareness. This paper presents a flexible and extensible representation of architectural design spaces for self-adaptation approaches based on feedback control loops. We have defined a generic representation for design spaces meta-modeling and have instantiated it in order to provide direct support for early reasoning and trade-off analysis of self-adaptation aspects with the aid of a set of feedback control metrics. The proposed approach has been fully implemented in a supporting tool and a case study with a distributed industrial data acquisition service has been undertaken. Whilst preliminary experiences with the proposed approach indicate useful reasoning support when comparing alternative design solutions for self-adaptation, further investigation regarding scalability aspects and automatic handling of conflicting goals has been identified as future work.
Self-Adaptive SLA-Driven Capacity Management for Internet ServicesBruno Abrahao
This work considers the problem of hosting multiple third-party Internet services in a cost-effective manner so as to maximize a provider’s business objective. For this purpose, we
present a dynamic capacity management framework based on an optimization model, which links a cost model based on SLA
contracts with an analytical queuing-based performance model, in an attempt to adapt the platform to changing capacity needs in
real time. In addition, we propose a two-level SLA specification for different operation modes, namely, normal and surge, which allows for per-use service accounting with respect to requirements of throughput and tail distribution response time. The cost model proposed is based on penalties, incurred by the provider due
to SLA violation, and rewards, received when the service level expectations are exceeded. Finally, we evaluate approximations
for predicting the performance of the hosted services under two different scheduling disciplines, namely FCFS and processor
sharing. Through simulation, we assess the effectiveness of the proposed approach as well as the level of accuracy resulting from
the performance model approximations.
201209 An Introduction to Building Affective-Driven Self-Adaptive Software Javier Gonzalez-Sanchez
One important characteristic in modern software systems is self-
adaptation, the capability of monitoring and reacting to changes into the environment. A particular case of self-adaptation is affect-driven self- adaptation. Affect-driven self-adaptation involves using sensing devices to measure physiological signals of human affectivestate’s (emotions) changes, learning about the meaning of those changes, and then reacting (self-adapting) in consequence. Affect-driven self-adaptive systems take advantage of brain-computer interfaces, eye-tracking, face-based emotion recognition, and sensors to measure physiological signals.
Systems such as learning environments, health care systems, and videogames are able to take advantage of affect-driven self-adaptive capabilities. Today these capabilities are brittle, costly to change, difficult to reuse, and limited in scope. A software factory approach has been suggested to make feasible adding affective-driven self-adaptive capabilities either into new or existing systems. Software factories capture knowledge of how to produce applications that share common characteristics and make that knowledge available in the form of assets (patterns, model, framework, and tools) and systematically apply those assets to automate development reducing cost and time while improving product quality.
This talk provides a sneak peek of affective-driven self-adaptive capabilities and explores how a software factory approach is used to build affect-driven self-adaptive software.
This PPT covers the following topics...
Definition’s
CC in a Nutshell
Roots of CC
Layers and Types of Clouds
Desired Features of Cloud
Cloud Infrastructure Management
Infrastructure as a Service Providers
Platform as a Service Providers
Challenge and Risks
VMware vSphereTM 5.0 (“vSphere”) brings many new capabilities to extend the benefits of vSphere 4.1. These new features and enhancements to core capabilities in vSphere provide more performance optimization and easier provisioning, monitoring and troubleshooting. This paper focuses on the storage-specific features and enhancements that are available in vSphere 5.0 and provides an overview of how they optimize storage utilization, ease monitoring, and increase operational efficiency. Wherever possible, we will also provide use cases and requirements that might apply to these new functions.
The virtualization can be described in a generic way as a separation of the service request from the underlying physical delivery of that service. In computer virtualization, an additional layer called hypervisor is typically added between the hardware and the operating system. The hypervisor layer is responsible for both sharing of hardware resource and the enforcement of mandatory access control rules based on the available hardware resources.
There are three types of virtualization: full virtualization, para-virtualization and operating system level (OS-level) virtualization.
Model Manipulation Using Embedded DSLs in ScalaFilip Krikava
A short presentation (student talk category) given at the Scala Workshop 2013 in Montpellier, France (2.7.2013). This is slightly extended version to be more self-contained. It presents the basics of Sigma such as the common infrastructure support, model consistency checking and model transformation together with some perspectives of further deep embedding.
Slides from a talk given at our weekly lab seminar at NII, Tokyo. The talk is mostly based on Christopher Bailey et al's paper on "Self-Adaptive Federated Authorization Infrastructures", as well as related work I was involved with.
ACTRESS: Domain-Specific Modeling of Self-Adaptive Software ArchitecturesFilip Krikava
Presentation given at 29th Symposium On Applied Computing (SAC'14) - Dependable and Adaptive Distributed Systems track.
It is mainly based on the work done during my Ph.D.
The vision of Autonomic Computing and Self-Adaptive Software Systems aims at realizing software that autonomously manage itself in presence of varying environmental conditions. Feedback Control Loops (FCL) provide generic mechanisms for self-adaptation, however, incorporating them into software systems raises many challenges.
The first part of this thesis addresses the integration challenge, i.e., forming the architecture connection between the underlying adaptable software and the adaptation engine. We propose a domain-specific modeling language, FCDL, for integrating adaptation mechanisms into software systems through external FCLs. It raises the level of abstraction, making FCLs amenable to automated analysis and implementation code synthesis. The language supports composition, distribution and reflection thereby enabling coordination and composition of multiple distributed FCLs. Its use is facilitated by a modeling environment, ACTRESS, that provides support for modeling, verification and complete code generation. The suitability of our approach is illustrated on three real-world adaptation scenarios.
The second part of this thesis focuses on model manipulation as the underlying facility for implementing ACTRESS. We propose an internal Domain-Specific Language (DSL) approach whereby Scala is used to implement a family of DSLs, SIGMA, for model consistency checking and model transformations. The DSLs have similar expressiveness and features to existing approaches, while leveraging Scala versatility, performance and tool support.
To conclude this thesis we discuss further work and further research directions for MDE applications to self-adaptive software systems.
The presentation was given to Rivier Scala / Clojure User Group meeting on 10.6.2013. It is half-baked presentation. Will upload the final version when ready.
The first part is about DSLs in general, complexities in software engineering and abstraction. The seconds part presents an quick overview about DSLs in Scala and touches some of the technologies used for deep embedding.
Do Search-Based Approaches Improve the Design of Self-Adaptive Systems ? A Co...Sandro Andrade
Do Search-Based Approaches Improve the Design of Self-Adaptive Systems ? A Controlled Experiment
2o best paper award of the 28th Brazilian Symposium on Software Engineering - SBES
Architectural Design Spaces for Feedback Control in Self-Adaptive Systems Con...Sandro Andrade
Presented at 25th International Conference on Software Engineering and Knowledge Engineering (SEKE 2013) - Boston/MA - EUA.
A lot of current research efforts in self-adaptive systems community have been dedicated to the explicit modeling of architectural aspects related to system self-awareness and context-awareness. This paper presents a flexible and extensible representation of architectural design spaces for self-adaptation approaches based on feedback control loops. We have defined a generic representation for design spaces meta-modeling and have instantiated it in order to provide direct support for early reasoning and trade-off analysis of self-adaptation aspects with the aid of a set of feedback control metrics. The proposed approach has been fully implemented in a supporting tool and a case study with a distributed industrial data acquisition service has been undertaken. Whilst preliminary experiences with the proposed approach indicate useful reasoning support when comparing alternative design solutions for self-adaptation, further investigation regarding scalability aspects and automatic handling of conflicting goals has been identified as future work.
Self-Adaptive SLA-Driven Capacity Management for Internet ServicesBruno Abrahao
This work considers the problem of hosting multiple third-party Internet services in a cost-effective manner so as to maximize a provider’s business objective. For this purpose, we
present a dynamic capacity management framework based on an optimization model, which links a cost model based on SLA
contracts with an analytical queuing-based performance model, in an attempt to adapt the platform to changing capacity needs in
real time. In addition, we propose a two-level SLA specification for different operation modes, namely, normal and surge, which allows for per-use service accounting with respect to requirements of throughput and tail distribution response time. The cost model proposed is based on penalties, incurred by the provider due
to SLA violation, and rewards, received when the service level expectations are exceeded. Finally, we evaluate approximations
for predicting the performance of the hosted services under two different scheduling disciplines, namely FCFS and processor
sharing. Through simulation, we assess the effectiveness of the proposed approach as well as the level of accuracy resulting from
the performance model approximations.
201209 An Introduction to Building Affective-Driven Self-Adaptive Software Javier Gonzalez-Sanchez
One important characteristic in modern software systems is self-
adaptation, the capability of monitoring and reacting to changes into the environment. A particular case of self-adaptation is affect-driven self- adaptation. Affect-driven self-adaptation involves using sensing devices to measure physiological signals of human affectivestate’s (emotions) changes, learning about the meaning of those changes, and then reacting (self-adapting) in consequence. Affect-driven self-adaptive systems take advantage of brain-computer interfaces, eye-tracking, face-based emotion recognition, and sensors to measure physiological signals.
Systems such as learning environments, health care systems, and videogames are able to take advantage of affect-driven self-adaptive capabilities. Today these capabilities are brittle, costly to change, difficult to reuse, and limited in scope. A software factory approach has been suggested to make feasible adding affective-driven self-adaptive capabilities either into new or existing systems. Software factories capture knowledge of how to produce applications that share common characteristics and make that knowledge available in the form of assets (patterns, model, framework, and tools) and systematically apply those assets to automate development reducing cost and time while improving product quality.
This talk provides a sneak peek of affective-driven self-adaptive capabilities and explores how a software factory approach is used to build affect-driven self-adaptive software.
This PPT covers the following topics...
Definition’s
CC in a Nutshell
Roots of CC
Layers and Types of Clouds
Desired Features of Cloud
Cloud Infrastructure Management
Infrastructure as a Service Providers
Platform as a Service Providers
Challenge and Risks
Speaker Presention by Irena Bojanova of the University of Maryland University...Tim Harvey
Irena Bojanova, Professor & Program Director in Information and Technology Systems at the University of Maryland University College, spoke at the Federal Cloud Computing Summit on Dec. 17, 2013 at the Ronald Reagan Building in Washington, D.C.
This benchmark is the result of the collaboration between Burstorm and Rice University and uses a high degree of automation. The scope of the first benchmark is seven suppliers across three continents with a total of 96 different instance types. The benchmark was executed every day, for at least 15 days. The results are normalized to a monthly pricing model to establish the price-performance metrics.
Cloud Computing is an information technology gold rush. Everything from social media and smart phones to streaming video and additive games come from the cloud. This revolution has also driven many to wonder how they can retool themselves to take advantage of this massive shift. Many in IT see the technology as an opportunity to accelerate their careers but in their attempt to navigate their cloud computing future, the question of what type of training, vendor-neutral or vendor-specific, is right for them
The Federal government today is in the midst of a revolution. The revolution is challenging the norms of government by introducing new ways of serving the people. New models for creating services and delivering information; new policies and procedures that are redefining federal acquisition and what it means to be a federal system integrator. This revolution also lacks the physical and tangible artifacts of the past. Its ephemeral nature, global expanse and economic impact all combine in a tidal wave of change. This revolution is called cloud computing.
Since announcing its “Cloud First” policy in 2010, the Federal government has correctly identified cloud computing as a way to reduce costs and improve the use of existing assets, and has accordingly prioritized its adoption. It has also taken judicious steps to protect Federal networks from nefarious cyber-attacks and promote the dissemination of best practices for cybersecurity. The Federal government has also embraced mobility as a means to conduct work from any location. But until now, the implementation of these initiatives has been fragmented and lacked coordination across Federal agencies. This paper offers a framework for integrating these programs in a way that enables the Federal government to realize the economic, technological, and mission-effectiveness benefits of cloud services while simultaneously meeting current Federal cybersecurity
requirements. It advocates shifting from a compliance-based cybersecurity paradigm to
one that is risk-based and focusing on how to most effectively secure their implementation of cloud services.
GovCloud Network, LLC helps its clients develop and execute mission and business strategies to leverage the parallel and global nature of cloud-based services. We employ our technology, strategy, digital publishing and social media expertise across three lines of business- Business Strategy & Design, Digital Publishing & Social Media and Education.
Improving Cybersecurity and Resilience Through Acquisition Emile Monette GSAGovCloud Network
When the government purchases products or services with inadequate in-built “cybersecurity,” the risks created persist throughout the lifespan of the item purchased. The lasting effect of inadequate cybersecurity in acquired items is part of what makes acquisition reform so important to achieving cybersecurity and resiliency.
Currently, government and contractors use varied and nonstandard practices, which make it difficult to consistently manage and measure acquisition cyber risks across different organizations.
Meanwhile, due to the growing sophistication and complexity of ICT and the global ICT supply chains, federal agency information systems are increasingly at risk of compromise, and agencies need guidance to help manage ICT supply chain risks
@AgileCLoud_ICH Presentation - 20140521 US Navy OPNAV - Capt Christopher PageGovCloud Network
Assured C2 sets conditions for Navy commanders to maintain the IT- enabled ability to exercise C2 authorities across the sea, land, air, space, and cyberspace domains in heavily contested or denied operating conditions.
Navy must continue to clearly define and manage capability-based Assured C2 requirements and resources, and align those requirements and resources with JIE/IC ITE through the IDEA
The primary beneficiaries of the effort to deliver Assured C2 capabilities are the requirements stakeholders: USFF, USPACFLT, and USFLTCYBERCOM subordinate commanders who execute Navy’s warfighting mission in all domains.
Agile Cloud Conference 2 Introduction - John BrennanGovCloud Network
Develop and open and inclusive cloud service brokerage environment that provides the Government the capability for rapid acquisition of proven innovative technologies on a fee for service basis
To the maximum extent possible leverage what already exits versus custom development to include incorporation of industry standards and a consistent implementation environment
DoD Business Capability Lifecycle (BCL) Guide (Draft)GovCloud Network
BCL is tailored for the rapid delivery of enterprise business capability. It combines multiple, disjointed oversight processes into a single process. It recognizes that technology rapidly evolves and changes, and consequently, BCL mandates rapid capability delivery – within
eighteen months or less of program initiation. BCL is outcome-based, and modeled on best commercial practices. The process allows for the fact that not all solutions are purely technical. The entire DOTMLPF (Doctrine, Organization, Training, Materiel, Leadership
and education, Personnel and Facilities) spectrum of potential solutions are considered.
Intrusion Detection on Public IaaS - Kevin L. JacksonGovCloud Network
Cloud computing is driving the business of information technology today.
“A recent Gartner survey on the future of IT services found that only 38 percent of all organizations surveyed indicate cloud services use today. However, 80 percent of organizations said that they intend to use cloud services in some form within 12 months, including 55 percent of the organizations not doing so today.“ (Gartner, Inc, 2013)
As companies rush to adopt cloud, however, information technology (IT) security sometimes seems to be an afterthought.
The goal of this paper is to provide a survey of the current state of IT security within public cloud infrastructure-as-a-service providers. After first providing a cloud computing overview, the paper will focus on the infrastructure-as-a-service (IaaS) deployment model, the typical home of IaaS intrusion detection components. The Gartner Cloud Use Case Framework will then be introduced as it will also serve as the framework for this survey. An in-depth review of public cloud intrusion detection studies, options and expert observations will then follow. The paper will then offer the authors conclusions and cloud computing IDS recommendations for enterprises considering a move to the cloud.
A Framework for Cloud Computing Adoption in South African GovernmentGovCloud Network
Technology adoption is always a critical concern in organizations (private and public). South African government experienced this encounter when adopted Open Source Software (OSS) with the objective to reduce ICT services costs among others. The implementation of OSS in SA government has faced several challenges such as user resistance, human factor, support and funding. As a result of these challenges cost reduction has not been fully achieved. Cost reduction issue ultimately affects implementation of other government programmes such as those who yields job creation, better education, and improving health, etc. The potential alternative to address the same objective as aimed by OSS is Cloud Computing adoption. Cloud Computing promise to offer the SA government more advantages OSS. This study explore the feasibility of Cloud Computing adoption as an alternative to enable cost reduction, effectiveness and efficient of IT services in SA government as was aimed by OSS initiative.
Government cloud deployment lessons learned final (4 4 2013)
Unisys Service Oriented Self Adaptive Systems
1. Service Oriented Self Adaptive Systems
– Marrying SOA and Cloud Computing
Kartik Mecheri
Unisys Federal Systems
Washington DC
October 2009
2. Introduction – Set the Context
• Service:
• software component
(module) that is made
available publicly
• Broker/Distributor:
• a directory for finding
services
• Consumer:
• uses the functionality
provided by the services
(c) 2009 Unisys Confidential Page 2
2
3. Service Oriented Self Adaptive Systems (SOSAS)
What is SOSAS?
System that changes its capabilities at runtime utilizing the
principles of SOA
• SOSAS enables and • SOSAS will help address
supports the following challenges
– Evolution through adaptation – Dynamic Composition and
– Open adaptive systems QoS aware Service
Coordination capabilities
– Closed adaptive systems
– Dynamically reconfigurable
– Pervasive contexts runtime architectures
• Self-* (healing, adaptive,
etc.)
– End-to-end security solutions
– Optimal Service Discovery
and Selection
(c) 2009 Unisys Confidential Page 3
3
4. Characteristics of Cloud Computing
NIST defines Five key characteristics for cloud:
• On-demand self-service
• Ubiquitous network access
• Location independent resource pooling
• Rapid elasticity
• Pay per use
How does SOSAS help achieve these characteristics?
(c) 2009 Unisys Confidential Page 4
4
5. Envisioning the Future in Federal
• Meeting the QoS attributes in a Distributed Cloud
environment- Inter-cloud dependencies?
• Open Architecture and Open Standards are more
critical
• Converting business policies to IT policies
• Migration from one Cloud Provider to another –
Domain-centric standards becomes more critical
• Built in security – Addressing privacy issues and
FISMA compliance
• Open source software becomes more relevant
(c) 2009 Unisys Confidential Page 5
5
6. SOSAS and Cloud Providers
• Hybrid Cloud for mission support
• Establish Cloud standards for interoperability
• Cloud interoperability can be achieved by following open standards
• Development and Test environment into public cloud
• provisioning and de-provisioning through self-adaptation
• Self adaptation best achieved through principles of service oriented
computing
• Security certification must be standardized at a lower level of
granularity
Provider must deploy cloud offerings based on SOSAS
(c) 2009 Unisys Confidential Page 6
6