StackInsights: Cognitive Learning for Hybrid Cloud Readiness

Hybrid cloud is an integrated cloud computing environment utilizing a mix of public cloud, private cloud, and on-premise traditional IT infrastructures. Workload awareness, defined as a detailed full range understanding of each individual workload, is essential in implementing the hybrid cloud. While it is critical to perform an accurate analysis to determine which workloads are appropriate for on-premise deployment versus which workloads can be migrated to a cloud off-premise, the assessment is mainly performed by rule or policy based approaches. In this paper, we introduce StackInsights, a novel cognitive system to automatically analyze and predict the cloud readiness of workloads for an enterprise. Our system harnesses the critical metrics across the entire stack: 1) infrastructure metrics, 2) data relevance metrics, and 3) application taxonomy, to identify workloads that have characteristics of a) low sensitivity with respect to business security, criticality and compliance, and b) low response time requirements and access patterns. Since the capture of the data relevance metrics involves an intrusive and in-depth scanning of the content of storage objects, a machine learning model is applied to perform the business relevance classification by learning from the meta level metrics harnessed across stack. In contrast to traditional methods, StackInsights significantly reduces the total time for hybrid cloud readiness assessment by orders of magnitude

United Caribou Association of the Nunamiut

Presented to the Faculty Of the University of Alaska Anchorage In Partial Fulfillment of the Requirements for the Degree of MASTER OF PUBLIC HEALTHCaribou is one food source that the people in Anaktuvuk Pass, Alaska rely on as a dependable and traditional source of food. United Caribou Association of the Nunamiut (UCAN) hopes to emulate the Alaska Eskimo Whaling Commission in a way that secures a first right of refusal over sport hunters and others. What UCAN proposes by its presence are negotiated restrictions to ensure subsistence taking of caribou by residents of Anaktuvuk Pass. Because the caribou of three Arctic herds are unrestrained and transient, and a shared resource of the State of Alaska, the State Board of Game views the caribou as a shared resource to be used by all citizens of the State of Alaska. The framers of UCAN want to ensure that the State Board of Game, sport hunters, and others know that the people of Anaktuvuk Pass are concerned about their food security. The study discovered that the local community of Anaktuvuk Pass wants outside agencies to know how and why caribou are important to them. Local governing bodies such as the Nagragmiut Tribal Council can and should be taught to develop PowerPoint presentations using their own images, and local storytellers provided avenues to express their concerns. The residents of Anaktuvuk Pass want to be the first to use the caribou as a food resource to protect their food security, and they want to be able to successfully articulate that concern.Signature Page / Title Page / Abstract / Table of Contents / List of Figures / List of Appendices / Introduction to the United Caribou Association of the Nunamiut / North Slope Borough Assessment / Methodology / Results / Discussion / Strengths and Limitations / Conclusions / Recommendations / References / Appendice

End-to-End Privacy for Open Big Data Markets

The idea of an open data market envisions the creation of a data trading model to facilitate exchange of data between different parties in the Internet of Things (IoT) domain. The data collected by IoT products and solutions are expected to be traded in these markets. Data owners will collect data using IoT products and solutions. Data consumers who are interested will negotiate with the data owners to get access to such data. Data captured by IoT products will allow data consumers to further understand the preferences and behaviours of data owners and to generate additional business value using different techniques ranging from waste reduction to personalized service offerings. In open data markets, data consumers will be able to give back part of the additional value generated to the data owners. However, privacy becomes a significant issue when data that can be used to derive extremely personal information is being traded. This paper discusses why privacy matters in the IoT domain in general and especially in open data markets and surveys existing privacy-preserving strategies and design techniques that can be used to facilitate end to end privacy for open data markets. We also highlight some of the major research challenges that need to be address in order to make the vision of open data markets a reality through ensuring the privacy of stakeholders.Comment: Accepted to be published in IEEE Cloud Computing Magazine: Special Issue Cloud Computing and the La

Electronic Discovery in the Cloud

Cloud Computing is poised to offer tremendous benefits to clients, including inexpensive access to seemingly limitless resources that are available instantly, anywhere. To prepare for the shift from computing environments dependent on dedicated hardware to Cloud Computing, the Federal Rules of Discovery should be amended to provide relevant guidelines and exceptions for particular types of shared data. Meanwhile, clients should ensure that service contracts with Cloud providers include safeguards against inadvertent discoveries and mechanisms for complying with the Rules. Without these adaptations, clients will be either reluctant or unprepared to adopt Cloud Computing services, and forgo their benefits

Enterprise 2.0 – Is The Market Ready?

Enterprise 2.0 family technologies have growing popularity, the cloud computing market is growing rapidly and, as a consequence, companies of all sizes start to evaluate the potential fit. The use of “Software as a Service”, “Platform as a Service” and “Infrastructure as a Service” has been evolving during the past years and has become increasingly popular. As its computing viability and benefits are legitimized, the adoption rate is rapidly increasing. The most popular business model in the abovementioned family is by far “Software as a Service” (also called SaaS), which is a software distribution model assuming the software applications are hosted and maintained by the vendor or the distributor, and user access is granted exclusively by means of the Internet. Based on both literature review and action research, the paper at hand is a synthesis for the results of an empirical study performed during the last two years among Romanian and foreign companies, in order to outline and provide an objective and unbiased answer to the question: “Is the market ready for these technologies or did they come too soon?”. The paper is a part of a larger research performed by the author in the field of Enterprise 2.0 technologies.Enterprise 2.0, Software as a Service, Platform as a Service, Infrastructure as a Service, Empirical study

Protecting Private Data in the Cloud

Companies that process business critical and secret data are reluctant to use utility and cloud computing for the risk that their data gets stolen by rogue system administrators at the hosting company. We describe a system organization that prevents host administrators from directly accessing or installing eaves-dropping software on the machine that holds the client's valuable data. Clients are monitored via machine code probes that are inlined into the clients' programs at runtime. The system enables the cloud provider to install and remove software probes into the machine code without stopping the client's program, and it prevents the provider from installing probes not granted by the client