A trust-aware, self-organizing system for large-scale federations of utility computing infrastructures

Messina, Fabrizio; Pappalardo, Giuseppe; Rosaci, Domenico; Santoro, Corrado; Sarné, Giuseppe M. L.

doi:10.1016/j.future.2015.07.013

Cited by 38 publications

(16 citation statements)

References 34 publications

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“…The applied algorithm should not impact or increase cost, overhead, or power consumption. The studies in [99] and [24] consider SOM architecture security requirements through a proposed generic framework that handles different security services independently as shown in Figure 13. These services support various security functionalities such as secure communications, messages protection, management trust, and access control.…”

Section: Discussionmentioning

confidence: 99%

“…The ability of the system to efficiently locate and provide the needed resources to the clients is vital. Recently, some researchers [24,25] have tried to increase and optimize the QoS by using computing environments such as Cloud/Grid systems that comprise of several trusted nodes to manage local resources individually. A trust model is associated with each node that accurately evaluates the trustworthiness of its communicating clients [24].…”

Section: The Goals and Challenges Of Middleware Architectures For mentioning

confidence: 99%

“…Recently, some researchers [24,25] have tried to increase and optimize the QoS by using computing environments such as Cloud/Grid systems that comprise of several trusted nodes to manage local resources individually. A trust model is associated with each node that accurately evaluates the trustworthiness of its communicating clients [24]. The time-consuming and inefficient process of exploring the whole node space is avoided by allowing each node to efficient allocating resources by finding suitable collaborations.…”

Section: The Goals and Challenges Of Middleware Architectures For mentioning

confidence: 99%

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Performance and Challenges of Service-Oriented Architecture for Wireless Sensor Networks

Alshinina

Elleithy

2017

Sensors

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Wireless Sensor Networks (WSNs) have become essential components for a variety of environmental, surveillance, military, traffic control, and healthcare applications. These applications face critical challenges such as communication, security, power consumption, data aggregation, heterogeneities of sensor hardware, and Quality of Service (QoS) issues. Service-Oriented Architecture (SOA) is a software architecture that can be integrated with WSN applications to address those challenges. The SOA middleware bridges the gap between the high-level requirements of different applications and the hardware constraints of WSNs. This survey explores state-of-the-art approaches based on SOA and Service-Oriented Middleware (SOM) architecture that provide solutions for WSN challenges. The categories of this paper are based on approaches of SOA with and without middleware for WSNs. Additionally, features of SOA and middleware architectures for WSNs are compared to achieve more robust and efficient network performance. Design issues of SOA middleware for WSNs and its characteristics are also highlighted. The paper concludes with future research directions in SOM architecture to meet all requirements of emerging application of WSNs.

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Section: Discussionmentioning

confidence: 99%

Section: The Goals and Challenges Of Middleware Architectures For mentioning

confidence: 99%

Section: The Goals and Challenges Of Middleware Architectures For mentioning

confidence: 99%

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Performance and Challenges of Service-Oriented Architecture for Wireless Sensor Networks

Alshinina

Elleithy

2017

Sensors

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“…e.g. [11]. This paper will specifically look at the practical implications of service discovery in systems with a large number of services, in particular in the range of 10 6 up to 10 9 simultaneous services providers.…”

Section: Introductionmentioning

confidence: 99%

A novel distributed registry approach for efficient and resilient service discovery in megascale distributed systems?

Braubach

Jander²,

Pokahr

2018

COMSIS J

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Service discovery is a well-known but important aspect of dynamic servicebased systems, which is rather unsolved for megascale systems with a huge number of dynamically appearing and vanishing service providers. In this paper first requirements for service discovery in megascale systems are identified from three perspectives: provider, client and system architecture side. Existing approaches are evaluated along these lines and it becomes apparent that modern solutions make advances with respect to the distributed system architecture but fail to support many aspects of client side requirements like persistent queries and elaborate query definitions. Based on these shortcomings a novel solution architecture is presented. It is based on the idea that service description data can be subdivided into static and dynamic properties. The first group remains constant over time while the second is valid only for shorter durations and has to be updated. Expressive service queries rely on both, e.g. service location as example for the first and response time for the latter category. In order to deal with this problem, our main idea is to also subdivide the architecture into two interconnected processing levels that work independently on static and dynamic query parts. Both processing levels consist of interconnected peers allowing to auto-scale the registry dynamically according to the current workload. The implementation using the Jadex middleware is explained and the approach is empirically evaluated using an example scenario.

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“…A trust-based approach for large-scale federations utility computing infrastructures was proposed in [10]; it can find the most suitable collaborators avoiding exploration of the whole service space. Furthermore, a multiagent protocol for service level agreement negotiation was proposed in [11]; it can give a helpful enlightenment for service locating and substitution in the service evolution.…”

Section: Introductionmentioning

confidence: 99%

A Clustering Method for Isomorphic Evolution of Web Services

Zhen

2017

Scientific Programming

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Since the basic binding unit of current service request and response schema is an atomic Web service, it needs to costly find a substitute service or reconstruct the service process in the original service space once a fine granular evolution requirement occurs. To reduce the complexity of fine granular service evolution, an isomorphic evolution mechanism based on service clusters is proposed. Searching space can be reduced and responding flexibility will also be improved by adopting service cluster as the unit of service response. Simple evolution and merging evolution were put forward to handle the evolution of atomic Web services. Meanwhile, a formal model and the quality computing method for service processes built by service clusters were presented based on the logic Petri nets. Two types of evolution patterns including dot isomorphic evolution and chain isomorphic evolution were proposed to evolve service processes. The algorithms for different isomorphic evolution patterns of atomic service and service processes were designed in the paper. Simulation experiments were conducted on 10000 Web services with different process patterns. Compared with the traditional service request and response schema, the efficiencies of service discovery and isomorphic evolution are improved greatly in our proposed method.

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A trust-aware, self-organizing system for large-scale federations of utility computing infrastructures

Cited by 38 publications

References 34 publications

Performance and Challenges of Service-Oriented Architecture for Wireless Sensor Networks

Performance and Challenges of Service-Oriented Architecture for Wireless Sensor Networks

A novel distributed registry approach for efficient and resilient service discovery in megascale distributed systems?

A Clustering Method for Isomorphic Evolution of Web Services

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