No abstract

Big data storage and processing are considered as one of the main applications for cloud computing systems. Furthermore, the development of the Internet of Things (IoT) paradigm has advanced the research on Machine to Machine (M2M) communications and enabled novel tele-monitoring architectures for E-Health applications. However, there is a need for converging current decentralized cloud systems, general software for processing big data and IoT systems. The purpose of this paper is to analyze existing components and methods of securely integrating big data processing with cloud M2M systems based on Remote Telemetry Units (RTUs) and to propose a converged E-Health architecture built on Exalead CloudView, a search based application. Finally, we discuss the main findings of the proposed implementation and future directions.

No abstract

No abstract

No abstract

Data and Internet services have become ubiquitous, and the recent trend of building massive cloud datacenters is part of the current network evolution. The success of Internet of Things (IoT) will not so much depend on the development of new technologies, but rather on connecting and integrating existing resources. The paper proposes a novel architecture that enables objects to exchange information through the Internet to achieve nonintrusive behavior and customized services based on an open source cloud platform. To achieve this goal, the information driven interactions are done not only in a peer to peer method, but also via advanced cloud services. The result is a generic platform where devices, systems and services will take part in a heterogeneous and decentralized architecture. We demonstrate that IoT is all about interoperability, from connected cloud computing using RFID, NFC, M2M and sensor technology to digital content and context-aware services. We conclude our cloud of things vision by expanding on the need for interoperability of cloud and IoT.

No abstract

SlapOS is the first open source operating system for Distributed Cloud Computing. SlapOS is based on a grid computing daemon -called slapgrid -which is capable of installing any software on a PC and instantiate any number of processes of potentially infinite duration of any installed software. Slapgrid daemon receives requests from a central scheduler -the SlapOS Master -which collects back accounting information from each process. SlapOS Master follows an Enterprise Resource Planning (ERP) model to handle at the same time process allocation optimization and billing. Recent research on Cloud Computing has focused on the implementation of Service Level Agreements (SLA) and operation of large Data Centers. However, in case of Force Majeure such as natural disaster, strike, terrorism, unpreventable accident, etc., Service Level Agreements (SLA) no longer apply. Rather than centralizing Cloud Computing resources in large data centers, Distributed Cloud Computing resources are aggregated from a grid of standard PCs hosted in homes, offices and small data centers.