The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Elasticity is a key component of modern cloud environments and monitoring is an essential part of this process. Monitoring demonstrates several challenges including gathering metrics from a variety of layers (infrastructure, platform, application), the need for fast processing of this data to enable efficient elasticity and the proper management of this data in order to facilitate analysis of current...
Outsourcing of sensitive and critical data into third party thus untrusted service environments remains a serious security concern. In such environments, data needs to be protected throughout its lifecycle i.e. at-rest, in-transit and while-in-use. Data in third phase remains mostly unprotected as it demands operations to be performed over encrypted data while achieving semantics same as in case of...
Password authentication systems can be used anywhere and at anytime where passwords are maintained in the central database. Systems are prone to attacks by intruders compromising the authentication. Password based authentication and key exchange protocols using a single server stores the sensitive user password where large user passwords are exposed. The proposed system is used to secure the system...
With the continuous emergence of all kinds of complex systems and the increasing complexity of complex systems, standards architecture becomes more and more important for its guidance and support in the life cycle of complex systems. First, this paper makes a comparative study on several architectures and architecture frameworks, and the comparative study shows that Standards Viewpoint is a better...
All organizations big or small need to manage their data effectively, both the structured data stored in operational databases and the unstructured data that is spread out across documents. As the data size grows, it becomes essential to move the data to a warehouse so that data is available for adhoc queries and analysis. This data repository of both useful data and documents along with meta data...
With the explosive growth of data capacity, large enterprises increasingly rely on business information systems. A highly informational and data-centralized grid company that engages in high-frequency businesses will face major business failures, incalculable impacts and irreparable damages once data errors occur. The development of an effective high-availability information system has become a hot...
Health sector in most countries including Zanzibar lacks the single repository that integrates health management data produced by multitude of sources. The study proves cost effective but successful implementation of Data Warehouse (DW) plays useful role to influence informed decision making in the health sector. Successful DW needs to include necessary features such as Online Analytic Process (OLAP)...
ERP application performance can be complicated, as it's ought to satisfy the prerequisite and desires of some of the greatest and most refined enterprises inside the world. Odoo is in vogue ERP application comes into picture, Odoo-ORM framework written in python. This paper concentrates on essential component of Odoo-ORM i.e. caching. Caching can be one of the important parts of an ORM application...
With emergence in cloud computing there was a huge demand for the data center technology and the operating system which can handle the data center. Increasing demand of infrastructure services leading the organizations to move towards Cloud. The aim is to provide an opportunity to the industry to build a hosting architecture, massively scalable which is completely open source, and to provide a solution...
This paper presents a distributed architecture for asynchronously implementing a class of nonlinear signal processing systems as web services, which in turn can be used to solve a broad class of optimization problems. As opposed to requiring specialized servers, the presented architecture requires only the use of commodity database backends as a central resource, as might typically be used to serve...
Applications developed to fulfil distributed systems needs have been growing rapidly. Major evolutions have happened beginning with basic architecture relying on initiated request by a client to a processing side referred to as the server. Such architectures were not enough to cope up with the fast ever-increasing number of requests and need to utilize network bandwidth. Mobile agents attempted to...
The Polystore architecture revisits the federated approach to access and querying the standalone, independent databases in the uniform and optimized fashion, but this time in the context of heterogeneous data and specialized analyses. In light of this architectural philosophy, and in the light of the major data architecture development efforts at the US Department of Veterans Administration (VA),...
Polystores, i.e., data management systems that use multiple stores for different data models, are gaining popularity. We are developing a polystore-based system called AWESOME to support social data analytics. The AWESOME polystore can support relational, semistructured, graph and text data and houses a Spark computation engine to produce derived data during ingestion. ADIL, the data ingestion language...
Early detection of any exceptional behavior coupled with comprehensive analysis of related data can significantly reduce performance bottlenecks and outages in any system. Collating the relevant data points and establishing correlation between them to provide an abstract view of potential hotspots has been a challenge in any large multi-tier systems. This paper describes a framework that shall enable...
Nowadays the indoor location context becomes an important element in a number of real applications. Use of WiFi signals to fulfil the location detection of WiFi-enabled devices is a promising approach. In this paper an AP (Access Point)- centred indoor positioning system is proposed to address some common concerns in the conventional MH (Mobile Handheld)-based positioning system, such as excessive...
Medical Reports are amongst the most intensive and diverse processes in a Hospital Management Information System. In this paper, we propose an efficient and end-to-end framework for generating investigation test reports. The framework involves a novel template designer for result entry, an structured format for storing result entry template and data into XML suitable for lab reports and Electronic...
Most data scientists use nowadays functional or semi-functional languages like SQL, Scala or R to treat data, obtained directly from databases. Such process requires to fetch data, process it, then store again, and such process tends to be done outside the DB, in often complex data-flows. Recently, database service providers have decided to integrate "R-as-a-Service" in their DB solutions...
Apache Cassandra is a distributed database of choice when it comes to big data management with zero downtime, linear scalability, and seamless multiple data center deployment. However, resource allocation for the system during deployment is a major issue which could either lead to bad performance or under-utilization of resources. In this paper we describe a QoS-aware architecture that manages resources...
In this paper, we propose techniques for securing Software Defined Networks(SDN). We describe the design of a security architecture that makes use of security applications on top of the SDN Controller to specify fine granular security policies based on domain wide knowledge of the domain and Security Agents to enforce these policies in the switches in the data plane. We have extended the Open Flow...
Modern trends in the agriculture domain havemade people realize the importance of big data. The keychallenge of big data in agriculture is to identify theeffectiveness of big data analytics. Moreover, how big dataanalytics can be used to improve the productivity inagricultural practices. The purpose of the proposed researchis to reduce the technological gap between rural communitiesand information...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.