A Study on Storage and Security in Cloud Environment

Cloud computing technology is a new buzzword in the IT industry and expecting a new for coming world. It is a style of computing which is having dynamically scalable virtualized resources provided as a service over the Internet. It reduces the time required to procure heavy resources and boot new server instances in minutes, allowing one to quickly scale capacity, both up and down, as ones requirement changes. With the rise of a ubiquitous provision of computing resources over the past years, cloud computing has been established as a prominent research topic. Many researchers, however, focus exclusively on the technical aspects of cloud computing, thereby neglecting the business opportunities and potentials cloud computing can offer. Enabled through this technology, new market players and business value networks arise and break up the traditional value chain of service provision. The focus of this paper lies on the real business aspects of cloud computing.

METHOD OF PREDICTING FAVOURABLE INDUSTRIAL PRODUCTS

Predicting favourable products is still challenging. It is influenced by dynamic customers' requirement changes and reduction of waste. An important problem is a simultaneous combination of customer satisfaction with environmental aspects. It resulted from a need to reduce the harmfulness of products and increasing the quality level of these products. Therefore, the aim is to propose a method to predict favourable products considering qualitative and environmental aspects. The method relies on predicting which product will be the most favourable for customer, and simultaneously will be the most environmentally friendly. Due to the uncertainty of decisions, the Grey Relational Analysis (GRA) was implemented in the proposed method. The GRA method is effective to any number of data, therefore the proposed method does not have limitations in numbers of qualitative and environmental criteria. The test was carried out based on harmful industrial products. It was fluorescent penetrants used in popular non-destructive testing.

Comparing Change Management Processes for Requirements and Manufacturing: An Interview Based Study

The study presented in this paper compares requirement and manufacturing change management processes to determine if similar processes can be used for both types of changes. A literature review is used to identify prescribed process stages. Ten stages are identified for both requirements and manufacturing change management. A series of interviews are then conducted with three different population groups to determine the process stages actually used in the field. The resulting process models are compared with the process models from the literature. Further, a thematic analysis is performed on the interview findings. Ultimately, differences are found between the prescribed and practiced change management models for both types of changes. Formal documentation stages are more prevalent for the manufacturing domain, though documentation in practice is less than what is prescribed. This includes the issuance of change requests and change orders in manufacturing change management that are not present in requirement change management processes. Significant differences were also found between the two change types; namely, requirement changes deal with more abstract concepts and as such can afford more informal documentation, whereas manufacturing changes deal with existing artifacts and require solid documentation. Additional research thrusts are identified to help reconcile change management processes across the life cycle.

HANDLING OF EXPLICIT UNCERTAINTY IN REQUIREMENTS CHANGE MANAGEMENT

Innovation projects are characterized by numerous uncertainties. Typical concepts in development management like the application of safety coefficients imply limitations of the solution space. In contrast, explicit handling of uncertainties can support engineers in understanding the problem space and in utilising the full potential of the design space along iterative product development steps. As a result from literature analysis, there is a lack of a support for product development that addresses the specific problem of uncertainty and risk in the context of requirement changes. The aim of the contribution at hand is to enhance the efficient development of complex interdisciplinary systems by enabling uncertainty handling in requirements change management. Based on a classification of uncertainty types resulting in a descriptive model, risk management measures are identified to support requirements engineers. The proposed method includes identification & modelling, analysis, treatment and monitoring of risks and counter-measures. By applying this method, engineers are supported in adopting agile approaches and enabling flexible Requirements Engineering.

Software Requirements Negotiation: A Review on Challenges

Requirements negotiation involves discussion on the requirements conflict to have some compromise that will satisfy the participating stakeholders of a software project. The output of a requirement negotiation is a set of satisfied requirements of two or more parties. In this paper, we present a systematic review of requirements negotiation challenges. The study adopted 34 papers from the final study selection process which were analyzed based on the requirements negotiation challenges they addressed. The identified challenges are decision-making, communication, performance, managing requirement changes, and conflict resolution. The output of the study indicates that decision-making is addressed by 33% of the studies reviewed, followed by the performance with 22%, conflict resolution with 19%, while 16% focus on stakeholders’ communication, and managing requirements changes has 10%.

Toward Quantifiable Evidence of Excess' Value Using Personal Gaming Desktops

Complex systems operating beyond their expected life or usage can yield scenarios where the current requirements that must be met were “unknown” at the time of their original design. Such “unknown” requirements might be outside the probability distribution expected during the design phase or, more drastically, might not have been predicted. Engineering design researchers have begun exploring how incorporating strategic inefficiencies - in the form of margins - might increase a system's total lifetime value by reducing sensitivity to requirement changes and truncating change propagation. Studying excess, margin beyond what is required for known uncertainties, in a quantitative manner has been particularly challenging as information is needed about how requirements change, how system performance is impacted by requirement changes, and how components are priced. A quantitative study around excess using 20 years of data for desktop computers, video game consoles, and video games is developed. Evidence is provided showing that excess can improve end-user system value when future requirements are unknown. This paper also advances the notion of strategic excess (excess incorporated in a single component), showing as one example that excess RAM would have improved system performance by 14% (on average) for 7% of total system cost. In demonstrating the value of excess, we strengthen the argument that engineers (and end-users) should embrace strategic inefficiencies by considering the implications of their decisions about system architecture and module interfaces.

Method for Systematic Assessment of Requirement Change Risk in Industrial Practice

Requirement changes and cascading effects of change propagation are major sources of inefficiencies in product development and increase the risk of project failure. Risk management regarding these requirement changes yields the potential to handle such changes efficiently. Currently unlocked, a systematic approach is required for risk management to assess the risk of a requirement change with appropriate effort in industrial application. Within the paper at hand, a novel method for systematic assessment of requirement change risk is presented. It is developed in a multiple case study approach with three product development projects from different industrial branches. The change risk is assessed by combining change likelihood and change impact. Propagation effects are considered by analyzing requirement interrelations. To limit application effort, a tailorable approach towards assessment of change causes based on generalized influence factors and a pre-defined rule set for semi-automatized assessment of requirements interrelations is used. A software prototype is developed and implemented to enable evaluation and transfer to industrial application. The approach is evaluated using a combination of case study projects, stakeholder workshops, questionnaires and semi-structured interviews. Applying the method, the risks of requirement changes are assessed systematically, and subsequent risk management is enabled. The contribution at hand opens up the research space of risk management in handling requirement changes which is currently almost unexploited. At the same time, it enables more efficient product development.

A SCRUM AGILE INTEGRATED DEVELOPMENT FRAMEWORK

With design methodologies, as Integrated Product Development, industry is continuously looking to improve their product development processes. Staying ahead concurrence forces them to deliver new and more complex products in shorter time. When it comes to fast delivery and requirement changes, product development can be inspired by agile methods. Although the application is difficult, the idea to implement these methods for development of products other than software comes out. To ease its implementation, this paper proposes to use IPD as a framework for agile product development.

Diversity minimization through part combination – a Portuguese railway infrastructure case study

With increasing market needs for product and service variety, companies struggle to provide diversity in cost-effective ways. Through standardization of components with a low perceived added value, companies can take advantage of economies of scale while maintaining product diversity. Railway infrastructure managers face similar challenges of providing economically sustainable services while dealing with the costs of maintaining the system diversity. Typically, unintended design diversity stems from design practices in which existing solutions are not reused for new problems and new solutions are rarely planned considering the dynamics of requirement changes. In this paper we provide a methodology to assess how to standardize different designs to minimize design diversity and to assess design divergence in a product family. The developed methodology is able to take into account any set of standardization compatibility constraints that the user can define. The methodology was applied in the context of a small-scale railway infrastructure manager using a dataset of 223 unique designs of functionally similar components from its electrification system. Depending on the activated compatibility constraints, results indicate that over 60% of components can be reduced to a set of 86 unique designs.