Ontologies, Agents and the Grid: An Overview

Drozdowicz, Michal; Ganzha, Maria; Paprzycki, Marcin; Olejnik, Richard; Lirkov, Ivan; Telegin, Pavel; Senobari, Mehrdad

doi:10.4203/csets.21.7

Cited by 7 publications

(5 citation statements)

References 25 publications

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“…For example in the Grid Computing context, the main purpose of the Grid Laboratory for a Uniform Environment [11] (GLUE) schema was to allow interoperability between grid projects in the US and the EU by defining a schematic vocabulary with serializations to XML, LDAP and SQL [12]. The lack of formalism, and, as a consequence, the missing means to reason over the information, motivated the transition to a Semantic Open Grid Service Architecture [13] (S-OGSA).…”

Section: Computingmentioning

confidence: 99%

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FIDDLE: Federated Infrastructure Discovery and Description Language

Willner¹,

Loughnane²,

Magedanz

2015

2015 IEEE International Conference on Cloud Engineering

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Considerable efforts have been spent on designing architectures to manage heterogeneous resources across multiple administrative domains. Specific fields of application are federated cloud computing (Intercloud) approaches and distributed testbeds, among others. An important interoperability challenge that arises in this context is the exchange of information about the provided resources and their dependencies. Existing work usually rests upon schematic data models, which impede the discovery and management of heterogeneous resources between autonomous sites. One way of addressing this issue is to exchange semantic information models. In this paper, we exploit such approaches to formally define federations, including their infrastructures and the life-cycle of the offered resources and services. The requirements of this work have been derived from several research projects and the results are in process of being standardized by an international body. The main contribution of this work is a higher level (upper) ontology and initial integration concepts for it. These contributions form a basis for further work in the general context of distributed semantic resource management.

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Section: Computingmentioning

confidence: 99%

“…Fig. 7 shows the result of such a call using the client library jFed 12 . As highlighted, an RDF/JSON serialized description of the testbed has been embedded in the JSON based response data structure by adding a new node in the tree.…”

Section: B Software Integration Concepts Overviewmentioning

confidence: 99%

FIDDLE: Federated Infrastructure Discovery and Description Language

Willner¹,

Loughnane²,

Magedanz

2015

2015 IEEE International Conference on Cloud Engineering

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“…In the context of Grid Computing, the Grid Laboratory for a Uniform Environment (GLUE) [11] schema was started 15 years ago to support interoperability between Grid projects by defining a schematic vocabulary with serializations to XML, LDAP, and SQL [12]. A lack of formalism and a consequent inability to perform logical operations on data motivated the transition to Semantic Open Grid Service Architecture (S-OGSA) [13].…”

Section: Semantic Models For Grids Clouds and Iotmentioning

confidence: 99%

Using Semantic Web Technologies to Query and Manage Information within Federated Cyber-Infrastructures

Willner

Giatili

Grosso

et al. 2017

Data

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A standardized descriptive ontology supports efficient querying and manipulation of data from heterogeneous sources across boundaries of distributed infrastructures, particularly in federated environments. In this article, we present the Open-Multinet (OMN) set of ontologies, which were designed specifically for this purpose as well as to support management of life-cycles of infrastructure resources. We present their initial application in Future Internet testbeds, their use for representing and requesting available resources, and our experimental performance evaluation of the ontologies in terms of querying and translation times. Our results highlight the value and applicability of Semantic Web technologies in managing resources of federated cyber-infrastructures.

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“…Preliminary research in this area involved analyzing existing Grid ontologies (see [18]). On the basis of this analysis it was concluded that the closest and the most adequate ontology, for the AiG system, was the Core Grid Ontology (CGO ; [19,20]).…”

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confidence: 99%

Multiple equivalent simultaneous offers strategy in an agent-based grid resource brokering system - initial considerations

Attaoui¹,

Ganzha²,

Paprzycki³

et al. 2013

SCPE

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Abstract. The Agent in Grid (AiG) project attempts to integrate the concept of the Grid and an agent-based system to facilitate efficient resource management in the Grid. In this paper, we present preliminary considerations concerning multiple equivalent simultaneous offers strategy that can be used in the Service Level Agreement (SLA) negotiations. These negotiations are the key part of the main use case scenarios within the AiG project. In this context, first, we describe the AiG system. Second, we introduce the simultaneous offer strategy, as a mechanism known from economy, and suggest an approach for using it in the AiG negotiations.Key words: Grid computing, multiple equivalent simultaneous offers, AiG, agent-based negotiations, SLA, multi-attribute negotiations 1. Introduction. The context for the presented work is provided by the Agents in Grid project (AiG; [16,17,23]) that aims at creating a management system for the Grid computing resources. The system utilizes the concept of software agents that can act flexibly in a dynamic and uncertain environment, where resources can appear and disappear at any time. Furthermore, the AiG project integrates business principles, by allowing users to earn money by offering resources, or to pay for the use of available resources. The key part of the realization of this economic model is the negotiation process that should lead to contracts beneficial to the engaged parties. In the AiG project, negotiations materialize in the two main scenarios: (i) when the user would like to execute her job and is searching for resources that satisfy her needs, (ii) when a resource owner is seeking a team to join, to earn money. Here, we are confronted with one of the key assumptions behind the AiG project. Based on the analysis of working conditions of volunteer systems (e.g. seti@home; [32]), and taking into account progress in the development of agent systems (their capability for autonomously reaching an agreement [33]) it was stipulated that agents that offer their resources to earn money should work in teams. In this way, teams should be able to deliver results even if some members disappear without warning (for more details, see [16]).Observe that negotiations taking place in the AiG project have to take into account multiple attributes. In an example given in [23] simple job execution negotiations involved simultaneous evaluation of price, job start time and job end time. Currently, after the AiG ontology was fully developed (see, [22] for more details), truly multi-criterial negotiations can be used. Note that in both negotiation scenarios introduced above, the negotiation strategy is constrained by the following conditions: (1) no information about the preferences of the other participant(s) in the negotiation, and (2) the agreement reached should be optimal to both negotiating parties.Let us observe that recent studies in social psychology and economics [1,2] have shown that using a strategy based on multiple offers is more profitable than a strategy based on a single offe...

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Ontologies, Agents and the Grid: An Overview

Cited by 7 publications

References 25 publications

FIDDLE: Federated Infrastructure Discovery and Description Language

FIDDLE: Federated Infrastructure Discovery and Description Language

Using Semantic Web Technologies to Query and Manage Information within Federated Cyber-Infrastructures

Multiple equivalent simultaneous offers strategy in an agent-based grid resource brokering system - initial considerations

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