/pdf/a-break-in-the-clouds-towards-a-cloud-definition-svovsw1r5a.pdf

A Break in the Clouds: Towards a Cloud Definition

http://homepage.cs.latrobe.edu.au/sloke/papers/1-s2.0-S0167739X12001318-main.pdf

Mobile cloud computing

Normal accidents. Living with high-risk technologies

A systematic literature review of blockchain-based applications: Current status, classification and open issues

On blockchain and its integration with IoT. Challenges and opportunities

This paper focuses on the use of CoAP as a means of connecting clouds of sensors & smart devices via mobile devices with users. We present an alternative to the hierarchical view on fog-computing by enabling device clouds to interact in a P2P fashion with smart device/sensor clouds. Using the IoT protocol CoAP we expose smart device/sensors and resources in the mobile cloud in a uniform manner as RESful services. The paper presents an evaluation of an Erlang CoAP server and an evaluations of using BLE 4.1 for submitting CoAP messages that span between 1 -- 7 BLE packets.

Combining Mobile and Fog Computing: Using CoAP to Link Mobile Device Clouds with Fog Computing

In recent years, the advancement in modern technologies has not only resulted in an explosion of huge data sets being captured and recorded in different fields, but also given rise to concerns in the security and protection of data during storage, transmission, processing, and access. The blockchain is a distributed ledger that records transactions in a secure, flexible, verifiable and permanent way. Transactions in a blockchain can be an exchange of an asset, the execution of the terms of a smart contract, or an update to a record. In this paper, we have developed a blockchain access control ecosystem that gives asset owners the sovereign right to effectively manage access control of large data sets and protect against data breaches. The Linux Foundation's Hyperledger Fabric blockchain is used to run the business network while the Hyperledger composer modeling tool is used to implement the smart contracts or transaction processing functions that run on the blockchain network.

Blockchain Access Control Ecosystem for Big Data Security

Modern Smartphones are the fastest growing computing platforms capable of consuming web services. However, due to their form factor these mobile computing devices face many challenges and constrains when engaging service providers. How to overcome these challenges and how to link smartphones to the service cloud is one of the key issues that will have a major impact on the further growth of the software-as-a-service (SaaS) and software-plus-service (S+S) deployments.This paper focuses on the use of a cloud hosted middleware layer that acts as a personal service bus (PSB). Similar to an ESB the PSB offers a user and device customized view on services of the cloud by enabling protocol transformation, request/response augmentation, message optimization, caching and pre-fetching. The paper also reports on an evaluation of the PSB called Mobile Cloud Computing Middleware (MCCM) with the G1 (HTC).

SOA's Last Mile-Connecting Smartphones to the Service Cloud

Analytics-as-a-Service (AaaS) has become indispensable because it affords stakeholders to discover knowledge in Big Data. Previously, data stored in data warehouses follow some schema and standardization which leads to efficient data mining. However, the Big Data epoch has witnessed the rise of structured, semi-structured, and unstructured data, a trend that motivated enterprises to employ the NoSQL data storages to accommodate the high-dimensional data. Unfortunately, the existing data mining techniques which are designed for schema-oriented storages are non-applicable to the unstructured data style. Thus, the AaaS though still in its infancy, is gaining widespread attention for its ability to provide novel ways and opportunities to mine the heterogeneous data. In this paper, we discuss our AaaS tool that performs terms and topics extraction and organization from unstructured data sources such as NoSQL databases, textual contents (e.g., websites), and structured sources (e.g. SQL). The tool is built on methodologies such as tagging, filtering, association maps, and adaptable dictionary. The evaluation of the tool shows high accuracy in the mining process.

Towards Knowledge Discovery in Big Data

Peer-to-peer (p2p) networks are the latest addition to the already large distributed systems family. With a strong emphasis on self-organization, decentralization and autonomy of the participating nodes, p2p-networks tend to be more scalable, robust and adaptive than other forms of distributed systems. The much-publicized success of p2p-networks for file-sharing and cycle-sharing have resulted in an increased awareness and interest into the p2p protocols and applications. However, p2p-networks are difficult to study due to their size and the complex interdependencies between users, application, protocol and network. We present a 3-level simulator designed to study complex p2p networks.

Ralph Deters

Papers

Combining Mobile and Fog Computing: Using CoAP to Link Mobile Device Clouds with Fog Computing

Blockchain Access Control Ecosystem for Big Data Security

SOA's Last Mile-Connecting Smartphones to the Service Cloud

Towards Knowledge Discovery in Big Data

3LS - a peer-to-peer network simulator