An agent‐oriented, trust‐aware approach to improve the QoS in dynamic grid federations

Abstract

In this paper, a distributed approach aimed at improving the quality of service in dynamic grid federations is presented. Virtual organizations (VO) are grouped into large-scale federations in which the original goals and scheduling mechanisms are left unchanged, while grid nodes can be quickly instructed to join or leave any VO at any time. Moreover, an agent-oriented framework is designed to observe and characterize past behaviors of nodes in terms of resource sharing and consumption, as well as to determine the trust relationships occurring between each pair of nodes. By combining trust and historical behaviors into a unified convenience measure, software agents are able to evaluate the (i) advantages of node's membership with VOs and (ii) whether a specific set of nodes is able to meet the actual requirements, in terms of resource sharing and consumption of a specific VO. The convenience measure has been exploited to design a fully decentralized, greedy procedure, aimed at controlling the grid formation process. Extensive simulations have shown that the coordinated and decentralized process of grid formation provides a powerful means to improve the overall quality of service of the grid federation.

AMACE: agent based multi-criterions adaptation in cloud environment

“…Few works like: Andronico et al [20], Hou et al [21] and De Meo et al [22] take into account openness features in clouds federation. In [20] work authors include in the federation different cloud middleware, providing a concrete model that looks at heterogeneous cloud systems.…”

“…Connection of computational nodes enlarges classical grid architecture. De Meo et al [22] proposed a model supporting open grid federations based on a multi agent architecture, a distributed approach to improve the quality of service in dynamic grid federations where each grid composing the federation is able to accept or refuse node's request for leaving or joining a virtual organization at any moment. Intelligent software agents reorganize the virtual organization according to two integrated parameters: (i) the nodes (past) behaviors, in terms of costs of the resources requested/offered and (ii) the trustworthiness of nodes, which is based on data automatically collected by software agents assisting grid nodes.…”

“…In order to enhance the rate of requests satisfaction and reduce unallocated resources situations, the grid formation algorithm ensures a balance function between offer and demand of resources. Although approaches [21,22] provided good results, they stay limited to a fixed number of criteria: in [21] the service manager considers an optimization and a balance method and in [22], reorganization depends on the result of the combination between trust and historical behaviors into a unified convenience measure. It stays insufficient for a large coverage of all the system's sides such as: the quality of service "time response", computing the load balance "workload parameter", the geographical location or distance "network delay" between the costumer and provider…etc.…”

Flow Shop Scheduling Problem and Solution in Cooperative Robotics—Case-Study: One Cobot in Cooperation with One Worker

“…A Multi-Agent System (MAS) is a flexible topology which links a group of artificial agents. The idea of the MAS is to compose a team of artificial agents whom together can solve a problem beyond the capabilities of an individual artificial agent [14].…”

Web-based Simulations of Multi-agent Systems

“…As stated in the Section 1, the aim of agent-based modeling and simulation (ABMS) is to model the collective behaviors of interacting autonomous entities 11 . A wide range of applications can be mentioned, as supply chains, consumer markets 4 , IoT applications 12-13 , complex networks simulation 5,14-20 , mobile agents systems 21,22 , threat of bio-warfare and multi-robot simulations 6,23-26 .…”