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Private clouds allow for managing multiple databases under one roof, avoiding unnecessary resource management. Private cloud solutions can be applied in sectors such as healthcare, retail, and software. The Introduction to Private Cloud using Oracle Exadata and Oracle Database will explore the general architecture of private cloud databases with a focus on Oracle’s Exadata database machine. The book describes the private cloud using fundamental-level Exadata and database. Exadata has been Oracle’s pioneer product for almost a decade. In the last few years, Oracle has positioned Exadata for customers to consume as a cloud service. This book will provide a timely introduction to Exadata for current and potential Oracle customers and other IT professionals. Introduction to Cloud Computing. Cloud Computing Architecture. Private Cloud. Relational Database Management System. Private Cloud Database Okcan Yasin Saygili is Lead Solution Architect in Turkcell. He was a cloud and database consultant at Oracle Partner HUB. His first aim is to engage Oracle partners in business development in the cloud. His second is for partners to achieve competitive database migration to the Oracle cloud/on-premise database and to deliver adoption services and business development for enterprise resource planning (ERP) to them. In other words, his objective is to increase use of the Oracle product family in the Oracle partner environment. To do so, he establishes one-to-one partner connections and performing migrations/upgrades. In addition, Yasin is responsible for project management, developing systems, database migration, adoption, and all pre-sales activities for seven countries in the partner environment. He also creates product workshops and web casts for partners and writes blogposts. Yasin was selected for inclusion in EMEA's \"Top 75 Promising Young Students\" by IBM Brussels and received executive IT training at IBM Brussels, Belgium. Yasin is an Oracle ACE. His main areas of expertise are database management and software engineering. He is also one of the management members of TROUG (Turkish Oracle User Group). Yasin is a startup project guru and has developed nearly 10 software projects, including the well-known CompileLab.

Since its inception, the Internet has evolved from a textual information system towards a multimedia information system, in which data, services and applications are consumed as content.Today, however, the main problem faced is that applications are now content-oriented but the protocol stack remains the same, based on the content location.

Background Mobile health (MH) technologies including clinical decision support systems (CDSS) provide an efficient method for patient monitoring and treatment. A mobile CDSS is based on real-time sensor data and historical electronic health record (EHR) data. Raw sensor data have no semantics of their own; therefore, a computer system cannot interpret these data automatically. In addition, the interoperability of sensor data and EHR medical data is a challenge. EHR data collected from distributed systems have different structures, semantics, and coding mechanisms. As a result, building a transparent CDSS that can work as a portable plug-and-play component in any existing EHR ecosystem requires a careful design process. Ontology and medical standards support the construction of semantically intelligent CDSSs. Methods This paper proposes a comprehensive MH framework with an integrated CDSS capability. This cloud-based system monitors and manages type 1 diabetes mellitus. The efficiency of any CDSS depends mainly on the quality of its knowledge and its semantic interoperability with different data sources. To this end, this paper concentrates on constructing a semantic CDSS based on proposed FASTO ontology. Results This realistic ontology is able to collect, formalize, integrate, analyze, and manipulate all types of patient data. It provides patients with complete, personalized, and medically intuitive care plans, including insulin regimens, diets, exercises, and education sub-plans. These plans are based on the complete patient profile. In addition, the proposed CDSS provides real-time patient monitoring based on vital signs collected from patients’ wireless body area networks. These monitoring include real-time insulin adjustments, mealtime carbohydrate calculations, and exercise recommendations. FASTO integrates the well-known standards of HL7 fast healthcare interoperability resources (FHIR), semantic sensor network (SSN) ontology, basic formal ontology (BFO) 2.0, and clinical practice guidelines. The current version of FASTO includes 9577 classes, 658 object properties, 164 data properties, 460 individuals, and 140 SWRL rules. FASTO is publicly available through the National Center for Biomedical Ontology BioPortal at https://bioportal.bioontology.org/ontologies/FASTO . Conclusions The resulting CDSS system can help physicians to monitor more patients efficiently and accurately. In addition, patients in rural areas can depend on the system to manage their diabetes and emergencies.

In unsupervised contention-based networks such as EDCA mode of IEEE 802.11(e)(s), upon winning the channel, each node gets a transmission opportunity (TXOP) in which the node can transmit multiple frames consequently without releasing the channel. Adjusting TXOP can lead to better bandwidth utilization and QoS provisioning. To improve WLAN throughput performance, EDCA packet bursting can be used in 802.11e, meaning that once a station has gained an EDCA-TXOP, it can be allowed to transmit more than one frame without re-contending for the channel. Following the access to the channel, the station can send multiple frames as long as the total access time does not exceed the TXOP Limit. This mechanism can reduce the network overhead and increase the channel utilization instead. However, packet bursting may cause unfairness in addition to increasing jitter, delay and loss. To the best of the authors' knowledge, although TXOP tuning has been investigated through different methods, it has not been considered within a game theory framework. In this study, based on the analytical models of EDCA, a game theoretic approach called GTXOP is proposed to determine TXOP dynamically (i.e. according to the dynamisms of WLAN networks and the number of nodes in the network). Using GTXOP, each node can choose its TXOP autonomously, such that in addition to QoS improvement, the overall network performance is also improved.

As smart devices are revolutionized in recent years, people may generate enormous amount of various sized data and store them in the local or remote file system in their daily lives. With cheaper and easy to use private cloud storage appliances helping to handle the increasing demand of storing and sharing big volume of data, effective file deduplication schemes can greatly increase the space efficiency in private cloud storage systems as well as preserve network bandwidth. In the paper, we aim at designing and implementing several file deduplication schemes built in the private cloud storage appliance, based on different duplication checking rules, including file name, file size, and file partial/full content hash value. Experiment results show using partial content hashing based file deduplication scheme achieves a reasonably balanced performance without overutilized limited local computational resources.

PurposeThe purpose of this paper is to ensure the anonymity and security of health data and improve the integrity and authenticity among patients, doctors and insurance providers. Simulation and validation algorithms are proposed in this work to ensure the proper implementation of the distributed system to secure and manage healthcare data. The author also aims to examine the methodology of Wireless Body Area Networks and how it contributes to the health monitoring system.Design/methodology/approachWireless Body Area Network (WBAN) plays an important role in patient health data monitoring. In this paper, a novel framework is designed and proposed to generate data by the sensor machines and be stored in the cloud, and the transactions can be secured by blockchain. DNA cryptography is used in the framework to encrypt the hashes of the blocks. The proposed framework will ensure the anonymity and security of the health data and improve the integrity and authenticity among the patients, doctors and insurance providers.FindingsCloud Computing and Distributed Networking have transformed the IT industry and their amalgamation with intelligent systems would revolutionize the Healthcare Industry. The data being generated by devices is huge and storing it in the cloud environment would be a better decision. However, the privacy and security of healthcare data are still a concern because medical data is very confidential and desires to be safe and secure. The blockchain is a promising distributed network that ensures the security aspect of the data and makes the transactions authentic and transparent. In this work, the data is collected using various sensor devices and is transmitted to the cloud through the WBAN via the blockchain network.Research limitations/implicationsIn this paper, a framework for securing and managing the healthcare data generated by intelligent systems is proposed. As the data generated by these devices are heterogeneous and huge in nature, the cloud environment is chosen for its storage and analysis. Therefore, the transactions to and from the cloud are secured by using the blockchain-based distributed network.Practical implicationsThe target end-users of our system are the patients to keep themselves informed and healthy, healthcare providers to monitor the conditions of their patients virtually, and the health insurance providers to have a track of the history of the patients, so that no fraudulent claims can be made.Originality/valueThe target end-users of our system are the patients for keeping themselves informed and healthy, healthcare providers for monitoring the conditions of their patients virtually and the health insurance providers to have a track of the history of the patients, so that no fraudulent claims can be made.

In this IBM Redbooks publication, we visit some of the core components and technologies that underpin a storage area network (SAN). We cover some of the latest additions to the IBM SAN portfolio, discuss general SAN design considerations, and build these considerations into a selection of real-world case studies. We realize that there are many ways to design a SAN and put all the components together. In our examples, we have incorporated the major considerations that you need to think about, but still left room to maneuver on the SAN field of play. This book focuses on the SAN products that are generally considered to form the backbone of the SAN fabric today: switches and directors. With this backbone, development has prompted discrete approaches to the design of a SAN fabric. The bespoke vendor implementation of technology that is characteristic in the design footprint of switches and directors means that we have an opportunity to answer challenges in different ways. We will show examples where strength can be built into the SAN using the network and the features of the components themselves. Our aim is to show that you can customize your SAN fabric according to your preferences.

This IBM Redbooks publication describes how to install and configure the very latest IBM storage solution and concept, the IBM TotalStorage Network Attached Storage (NAS) Gateway 500, in heterogeneous environments. The IBM TotalStorage NAS Gateway 500 series is an innovative Network Attached Storage device that connects clients and servers on an IP network to Fibre Channel storage, efficiently bridging the gap between LAN storage needs and SAN storage capacities. The IBM TotalStorage NAS Gateway 500 is a storage solution for UNIX/AIX/Linux, Apple, and Microsoft Windows environments. In this book, we show how to integrate the IBM TotalStorage NAS Gateway 500 and explain how it can benefit your company’s business needs. This book is an easy-to-follow guide which describes the market segment that the IBM TotalStorage NAS Gateway 500 is aimed at, and explains NAS installation, ease-of-use, remote management, expansion capabilities, high availability (two node clustering and up to four node remote mirroring), and backup and recovery techniques. It also explains open systems storage concepts and methodologies for common data sharing for UNIX/AIX/Linux, Apple, and Microsoft Windows environments. Please note that the additional material referenced in the text is not available from IBM.