BDII DOCUMENTATION

BDII Core contains elements common for top and site BDII. The top-level BDII is an instance fetching information from site BDII

The Hosting Environment of the Advanced Resource Connector middleware

The central component of AR

ARIS and EGIIS Installation, Con guration and Usage Manual

A scalable, production quality dynamic distributed information system for AR

SECURITY TOKEN SERVICE SYSTEM ADMINISTRATOR GUIDE

The Security Token Service (STS) is a partial implementation of the OASIS WS-Trust specification.It is a service that can be used for transforming an existing security token into another security token forma

Service Virtualisation of Internet-of-Things Devices: Techniques and Challenges

Service virtualization is an approach that uses virtualized environments to automatically test enterprise services in production-like conditions. Many techniques have been proposed to provide such a realistic environment for enterprise services. The Internet-of-Things (IoT) is an emerging field which connects a diverse set of devices over different transport layers, using a variety of protocols. Provisioning a virtual testbed of IoT devices can accelerate IoT application development by enabling automated testing without requiring a continuous connection to the physical devices. One solution is to expand existing enterprise service virtualization to IoT environments. There are various structural differences between the two environments that should be considered to implement appropriate service virtualization for IoT. This paper examines the structural differences between various IoT protocols and enterprise protocols and identifies key technical challenges that need to be addressed to implement service virtualization in IoT environments.Comment: 4 page

EMI REGISTRY MANUAL

EMI REGISTRY MANUA

A Fault Tolerant, Dynamic and Low Latency BDII Architecture for Grids

The current BDII model relies on information gathering from agents that run on each core node of a Grid. This information is then published into a Grid wide information resource known as Top BDII. The Top level BDIIs are updated typically in cycles of a few minutes each. A new BDDI architecture is proposed and described in this paper based on the hypothesis that only a few attribute values change in each BDDI information cycle and consequently it may not be necessary to update each parameter in a cycle. It has been demonstrated that significant performance gains can be achieved by exchanging only the information about records that changed during a cycle. Our investigations have led us to implement a low latency and fault tolerant BDII system that involves only minimal data transfer and facilitates secure transactions in a Grid environment.Comment: 18 pages; 10 figures; 4 table

Layered identity infrastructure model for identity meta systems

There are several Identity Meta Systems emerging in the identity management field, such as CardSpace and Higgins Trust Framework. The goal of an Identity Meta System (IMetS) is to integrate existing or new Identity Management System (IMS) to provide users with seamless interoperability and a consistent user experience. IMetS is a complex system that tries to integrate the already complicated IMS services. With such a complex system, we need a way to assess IMetS in order to determine how well an IMetS integrates the various IMS services. However, as IMetS is a rela- tively new concept, there is no framework to identify the properties that an ideal IMetS should have. The contribution of this paper is to introduce the Layered Identity Infrastructure Model (LIIM) that can be used as a framework to assess IMetS. In addition, the LIIM framework can also be used to identify the missing components of an IMetS, to guide and improve the design of an existing IMetS, to serve as a design benchmark for a new IMetS, as well as to aid the understanding of a complicated IMetS