Doctorate Candidate, Atlantic International University/School of Engineering and Technology
Commercial banks in Uganda have been realised to be continuously increasing in number of branches, sizes and operational activities in the last two decades. This increment has attracted high operational costs related to purchase and maintenance of IT infrastructure and even requiring larger spaces to accommodate them, which is always accompanied by poor data storage and management. Cloud computing is identified as the best and latest solution to curb the problems in commercial banks, if adopted. Cloud computing has the capacity to store and manage data on virtualized servers so that, applications, individuals and organizations around the world can have the ability to connect to data and computing resources anywhere and anytime which improves the reliability since the data and application are stored and backed up on a number of computers which reduces the chance of data and application loss. This paper aimed at studying the benefits of cloud computing to commercial institutions and how the services can be adopted by the institutions of Uganda so as to successfully overcome the continuous expanding challenges that are always reported. A proposed system for cloud computing deployment to serve commercial banks has been developed together with recommendations for cloud computing adoption and effective utilization and management. The relevant conclusions for the paper have also been drawn.
Abstract: An electronic arrangement for analyzing fluid flow, includes a measuring entity for obtaining indications of power or energy consumption associated with fluid flow relative to a predetermined element, at multiple time instants, during measurement periods, each measurement period occurring between similar subsequent maintenance operations affecting the energy consumption of the element, wherein the measurement indications for the period are utilized for modeling, with reference to the true operating time of the element and excluding non-operating time potentially between active periods, a modeling entity for maintaining a regression model constructed based on indications for measurement periods, the model including a response variable for providing an indication of power or energy consumption during a measurement period and an explanatory variable for representing time, and wherein the model regarding the previous measurement period between the second-last maintenance and the last maintenance is taken as a starting point for the model being currently updated.
Pub.: 22 Mar '16, Pinned: 05 Sep '17
Abstract: Platforms, systems, software, and methods for deploying and maintaining distributed computing, networking and storage comprising a configuration of dedicated service meshes. The invention further comprising a module for dynamically managing physical nodes; a module for dynamically managing nodes on physical nodes; a module for dynamically managing services/workers on nodes; a module for governing communication within the system and with the system; a plurality of communication endpoints; a plurality of services, wherein each service is associated with one or more endpoints, wherein services communicate by message exchange via their endpoints; a module for grouping nodes into clusters; a module for grouping endpoints into meshes such that all member services of a mesh can be addressed as a whole or as pertinent subsets thereof; and a module for dynamically effecting topology changes.
Pub.: 13 Dec '16, Pinned: 05 Sep '17
Abstract: A computer-implemented system processes secure electronic documents from one or more content providers in accordance with subscriber instructions has a processor and modules operative within the processor. A monitoring module obtains a provider GUID, a subscriber GUID, and a transaction ID from public metadata associated with a transaction received from a particular content provider. A determination module determines any designees of the subscriber and contact information one or more of the subscriber and any designees. A transaction module distributes a transaction addressed to at least one of the subscriber and any designees. Each distributed transaction includes data that is used for management, tracking, and alerting. Also described is a station for constructing transactions for distribution to subscribers through such a system, and management of local-advertising to users of such a system. An end-to-end system and method are described.
Pub.: 22 Jul '14, Pinned: 05 Sep '17
Abstract: Described is a system for detecting insider threats in a network. In detecting the insider threat, the system receives data from the network relevant to network activity and extracts observable actions from the data relevant to a mission. The observable actions are combined to provide contextual cues and reasoning results. Based on the observable actions and reasoning results, proposed security policy updates are proposed to force insiders into using more observable actions. Finally, the system detects potential insider threats through analyzing the observable actions and reasoning results.
Pub.: 26 May '15, Pinned: 05 Sep '17
Abstract: Disclosed are a system and method of performing secure computations on a protected database. Embodiments of the method provide, in a secure processor, a database of cryptographically hashed values based on a database of cleartext values, receive a cryptographically hashed query value as input into the secure processor wherein the query value is a hash of a cleartext value that corresponds to a cleartext query, perform a comparison operation within the secure processor to determine the presence of the hashed query value within the database of cryptographically hashed values and provide the results of the comparison operation to an external interface of the secure processor, wherein the contents of the database of cryptographically hashed values and the comparison operations are encapsulated within the secure processor and unexposed externally therefrom.
Pub.: 15 Mar '16, Pinned: 05 Sep '17
Abstract: Energy efficiency is a major research focus in sustainable development and is becoming even more critical in information technology (IT) with the introduction of new technologies, such as cloud computing and big data, that attract more business users and generate more data to be processed. While many proposals have been presented to optimize power consumption at a system level, the increasing heterogeneity of current workloads requires a finer analysis in the application level to enable adaptive behaviors and in order to reduce the global energy usage. In this work, we focus on batch applications running on virtual machines in the context of data centers. We analyze the application characteristics, model their energy consumption and quantify the energy per job. The analysis focuses on evaluating the efficiency of applications in terms of performance and energy consumed per job, in particular when shared resources are used and the hosts on which the virtual machines are running are heterogeneous in terms of energy profiles, with the aim of identifying the best combinations in the use of resources.
Pub.: 12 Dec '16, Pinned: 05 Sep '17
Abstract: Hydro-, Aeolian and Solar energy show significant promise in helping to reduce pollutants and greenhouse gases, which is a primary focus in today’s sustainable development culture. To enjoy the power of them, the human society needs solutions to transform the energies mentioned above into electric energy, at specific reliability, efficiency and sustainability parameters. Maintaining this kind of parameters implies, among other things, the careful and permanent monitoring of equipment. The monitoring process implies remote monitoring, as we are talking about preserving natural resources. The equipment is mostly situated in the middle of nature, covering large areas mostly outside of populated locations. In their great majority installations for wind and solar energy have been designed and manufactured relatively recently, which makes them contain systems of tele-monitoring that are designed and included by default, as a part of great importance to the entire investment. The situation is different in the case of hydroelectric plants, which have a tradition of over 130 years and have been and are still built to this day. Renewable energy sources are being increasingly used and need to be constantly monitored for optimizing the power grid. Unfortunately, such micro power plants are located in difficult to access remote locations where often only satellite or sparse GSM radio signals are available. In this paper we study the way how to process big data gathered by a decentralized cloud system, based on general systems and remote telemetry units (RTUs), for tele-monitoring of renewable energy objectives. Also, we analyze a proposed cloud M2M system, where each RTU communicates by radio with a telemetry data gateway connected to a cloud computing infrastructure equipped with appropriate software that delivers processed data. Furthermore, we present how we use a search based application built on Exalead CloudView to search for weak signals in big data. In particular, given the telemetry application, we propose to leverage trivial and non-trivial connections between different sensor signals and data from other online environmental wireless sensor networks, in order to find patterns that are likely to provide innovative solutions to existing problems. The aggregation of such weak signals will provide evidence of connections between renewable energies and environmental related issues faster and better than trivial mining of sensor data. As a consequence, the software has a significant potential for matching environmental applications and challenges that are related in non-obvious ways. Finally, we present the measurement results for a hydro-energy case study and discuss the applicability for other renewable sources such as solar or wind energy.
Pub.: 19 Apr '15, Pinned: 05 Sep '17
Abstract: To date, environmental awareness and government regulations have made businesses more responsible for waste disposal. From the product development standpoint, particularly in the design phase, disassembly factors including component disassemblability and recyclable component classification require further investigation. There has, however, been little literature survey focusing on disassemblability enhancement at the product design stage with the disassembly guidelines. In addition, cloud computing enables many applications of Web services and rekindles the interest of providing design services via the Internet. Recent research indicates that design delivered through cloud computing will outperform the traditional IT offers. In this study, the proposed methodology provides an total solution, which is able to: (1) Model the relationship of components and modularity, (2) explore component disassemblability and identify modules, (3) recognize disassembly patterns, (4) provide disassembly guidelines and recyclable component classification to instruct how to disassemble components, and (5) based on a cloud computing architecture, designers exchange and store their design information and knowledge for new sustainable product development. A case in electronic industry is studied and the results show that these companies are brought into conformance with environmental regulations, thereby enhancing product reuse, reduce, recycle, and reducing the disassembly time.
Pub.: 21 May '15, Pinned: 05 Sep '17
Abstract: Energy-saving and environmental protection have become the most popular and important research topics at present. Green Computing, as an indispensable part, is a new computing model to promote scientific progress and sustainable social development. It has become the focus and the high ground of international competition, relating to the country’s political, economic and social security. In this paper, from the point of view reducing server redundancy and improving PC terminal performance, heterogeneous systems are deployed in a few or even a single server by using the virtualization technology. A globally collaborative mechanism of the Green Private Cloud Computing (GCMGPC) is proposed and the Green Private Cloud Architecture model is built with virtualization technology for meliorating the status. It can change the reality that the operating environment of Cloud Computing relies on backend servers excessively. Meanwhile, it provides a cooperative method of workload balance between servers and clients through a resources sharing dynamically balancing algorithm with the cloud servers and clients (RSDBASC). It can meet the requirement that transforms the clients into the similar cloud server nodes (SCSNs) under the premise of not increasing the number of the servers. The new integrated Green Private Cloud Architecture with global collaboration can greatly improve the utilization of hardware resources and allocate the global resource more rationally. By this architecture, it will achieve three purposes, including energy-saving, expenditure-reducing and efficiency. Experiments are carried out to validate the feasibility and superiority by such model, and the results are shown great. The presented methods establish a favorable foundation for the future research of Green Public Cloud.
Pub.: 27 Oct '11, Pinned: 05 Sep '17
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