http://emamispnu.persiangig.com/Projects/Cloud%20Computing/science_2.pdf

Review: A survey on security issues in service delivery models of cloud computing

Recent technology trends in the Web Services (WS) domain indicate that a solution eliminating the presumed complexity of the WS-* standards may be in sight: advocates of REpresentational State Transfer (REST) have come to believe that their ideas explaining why the World Wide Web works are just as applicable to solve enterprise application integration problems and to simplify the plumbing required to build service-oriented architectures. In this paper we objectify the WS-* vs. REST debate by giving a quantitative technical comparison based on architectural principles and decisions. We show that the two approaches differ in the number of architectural decisions that must be made and in the number of available alternatives. This discrepancy between freedom-from-choice and freedom-of-choice explains the complexity difference perceived. However, we also show that there are significant differences in the consequences of certain decisions in terms of resulting development and maintenance costs. Our comparison helps technical decision makers to assess the two integration styles and technologies more objectively and select the one that best fits their needs: REST is well suited for basic, ad hoc integration scenarios, WS-* is more flexible and addresses advanced quality of service requirements commonly occurring in enterprise computing.

/pdf/restful-web-services-vs-big-web-services-making-the-right-2tg7890x7z.pdf

Restful web services vs. "big"' web services: making the right architectural decision

Cloud storage enables users to remotely store their data and enjoy the on-demand high quality cloud applications without the burden of local hardware and software management. Though the benefits are clear, such a service is also relinquishing users' physical possession of their outsourced data, which inevitably poses new security risks toward the correctness of the data in cloud. In order to address this new problem and further achieve a secure and dependable cloud storage service, we propose in this paper a flexible distributed storage integrity auditing mechanism, utilizing the homomorphic token and distributed erasure-coded data. The proposed design allows users to audit the cloud storage with very lightweight communication and computation cost. The auditing result not only ensures strong cloud storage correctness guarantee, but also simultaneously achieves fast data error localization, i.e., the identification of misbehaving server. Considering the cloud data are dynamic in nature, the proposed design further supports secure and efficient dynamic operations on outsourced data, including block modification, deletion, and append. Analysis shows the proposed scheme is highly efficient and resilient against Byzantine failure, malicious data modification attack, and even server colluding attacks.

/pdf/toward-secure-and-dependable-storage-services-in-cloud-1h1z2suddd.pdf

Toward Secure and Dependable Storage Services in Cloud Computing

Cloud Computing is evolving as a key computing platform for sharing resources that include infrastructures, software, applications, and business processes. Virtualization is a core technology for enabling cloud resource sharing. However, most existing Cloud Computing platforms have not formally adopted the service-oriented architecture (SOA) that would make them more flexible, extensible, and reusable. By bridging the power of SOA and virtualization in the context of Cloud Computing ecosystem, this paper presents seven architectural principles and derives ten interconnected architectural modules to form a reusable and customizable Cloud Computing Open Architecture (CCOA). Two case studies on Infrastructure and Business Cloud are used to deliver business and practical value of infrastructure and business process provisioning services over the Internet. We also present some potential value-added services of the proposed CCOA to guide strategic planning and other consulting practices of Cloud Computing.

http://hassan181.persiangig.com/cloud%20computing/05175875.pdf

CCOA: Cloud Computing Open Architecture

Quantum mechanics predicts a number of, at first sight, counterintuitive phenomena. It therefore remains a question whether our intuition is the best way to find new experiments. Here, we report the development of the computer algorithm Melvin which is able to find new experimental implementations for the creation and manipulation of complex quantum states. Indeed, the discovered experiments extensively use unfamiliar and asymmetric techniques which are challenging to understand intuitively. The results range from the first implementation of a high-dimensional Greenberger-Horne-Zeilinger state, to a vast variety of experiments for asymmetrically entangled quantum states-a feature that can only exist when both the number of involved parties and dimensions is larger than 2. Additionally, new types of high-dimensional transformations are found that perform cyclic operations. Melvin autonomously learns from solutions for simpler systems, which significantly speeds up the discovery rate of more complex experiments. The ability to automate the design of a quantum experiment can be applied to many quantum systems and allows the physical realization of quantum states previously thought of only on paper.

Automated Search for new Quantum Experiments.

The service-oriented modeling and architecture modeling environment (SOMA-ME) is first a framework for the model-driven design of service-oriented architecture (SOA) solutions using the service-oriented modeling and architecture (SOMA) method. In SOMA-ME, Unified Modeling Language (UML™) profiles extend the UML 2.0 metamodel to domain-specific concepts. SOMA-ME is also a tool that extends the IBM Rational® Software Architect product to provide a development environment and automation features for designing SOA solutions in a systematic and model-driven fashion. Extensibility, traceability, variation-oriented design, and automatic generation of technical documentation and code artifacts are shown to be some of the properties of the SOMA-ME tool.

SOMA-ME: a platform for the model-driven design of SOA solutions

Computational creativity and cognitive computing are distinct fields that have developed in a parallel fashion. In this paper, we examine the relationship between the two, concluding that the two fields overlap in one precise way: the evaluation or assessment of artifacts with respect to creativity. Furthermore, we discuss a particular instance of computational creativity, culinary recipe design, and how cognitive informatics and cognitive computation enter into the domain.

https://researcher.watson.ibm.com/researcher/files/us-nanshao/VarshneyPVSC_iccicc2013.pdf

Cognition as a part of computational creativity

Computational creativity is an emerging branch of artificial intelligence that places computers in the center of the creative process. Broadly, creativity involves a generative step to produce many ideas and a selective step to determine the ones that are the best. Many previous attempts at computational creativity, however, have not been able to achieve a valid selective step. This work shows how bringing data sources from the creative domain and from hedonic psychophysics together with big data analytics techniques can overcome this shortcoming to yield a system that can produce novel and high-quality creative artifacts. Our data-driven approach is demonstrated through a computational creativity system for culinary recipes and menus we developed and deployed, which can operate either autonomously or semi-autonomously with human interaction. We also comment on the volume, velocity, variety, and veracity of data in computational creativity.

A Big Data Approach to Computational Creativity.

An apparatus comprises a decoder and an actuator. The decoder is configured to receive a signal comprising a target olfactory pleasantness, to determine one or more combinations of odors which produce the target olfactory pleasantness, and to select a given one of the combinations of odors. The actuator is coupled to the decoder and configured to utilize the given combination of odors to produce an odor with the target olfactory pleasantness.

Determining combinations of odors to produce a target olfactory pleasantness

The Work-as-a-Service (WaaS) paradigm models work engagements as compositions of interconnected service requests, where there is a separation between the coordination of work and the actual work enactment. Here we revisit the WaaS conceptual meta-model and extend it to enable work decomposition and adjustable management/control of how work is coordinated and how it is done. In particular, we propose a specific WaaS protocol for decomposition, delegation, and control of work engagements, using ideas from the area of Business Artifacts. The goal is to enable simple communication and coordination between requestors and providers of work; and to support clear management and coordination during both planning and enactment of work. Importantly we introduce a new notion of a coordination lifecycle, consisting of loosely coupled milestones, domain-specific information attributes, and sets of abstract observable activities to be performed. Algebraic operations on coordination lifecycles when encapsulated service requests are torn, merged, paused, and resumed are defined and valid operations are specified. The meta-model and protocol are independent from the specific coordination enactment model which may employ centralized coordination, fully distributed coordination, or other models under various optimization objectives.

Yi-Min Chee

Papers

SOMA-ME: a platform for the model-driven design of SOA solutions

Cognition as a part of computational creativity

A Big Data Approach to Computational Creativity.

Determining combinations of odors to produce a target olfactory pleasantness

Work as a Service Meta-model and Protocol for Adjustable Visibility, Coordination, and Control