International Journal of Networking and Virtual Organisations

Azelmad, Said

doi: 10.1504/IJNVO.2021.115813pmid: N/A

Public administration reforms, in Morocco, called for the use of ICTs to connect administrations in a whole-of-government approach, building a culture of collaboration and good governance. Indeed, coordination theory supports the networked bureaucracy, as a catalyst for heterogeneous multi-stakeholder management, internal auditing and synergy. Institutional networked coordination is believed to increase interoperability and integration among offices for transparency and mutual accountability. A mutual collaboration (G2G) that is deemed to better governance, streamline workflows and reduce duplication of workflows and tasks. However, stove-piped management remains always a bad omen for networked governance for its single-purpose management. It is believed to separate offices in corrupted dispersed silos and bureaucracies, operating in ambiguity, red tape and bad governance. Results from an online survey of public agents, using the GID system in Morocco (n = 253) was used to empirically analyse the effect of eGovernment whole-of-government approach on good governance ethics in back offices, using PLS-SEM.

Gharajeh, Mohammad Samadi; Jahangir, Babak

doi: 10.1504/IJNVO.2021.115816pmid: N/A

The resource discovery process discovers appropriate computing resources (e.g., shared memory) in infrastructure as a service (IaaS) cloud systems according to user requirements. Since fuzzy systems use intelligent procedures based on humanistic experiences, they can be used in cloud computing to increase the number of completed jobs and improves the success rate. This paper proposes a double-controller fuzzy scheme for intelligent resource discovery in IaaS cloud systems, called DOCFIR. This scheme applies two fuzzy controllers to perform the intelligent resource discovery across the network. The first controller determines the number of virtual machines in the deployment phase based on the most important characteristics of the physical machines. The second controller discovers the appropriate computing resources for the user's job in the service phase based on characteristics of the physical machines and user requirements. The simulation results show that the proposed scheme surpasses some of the existing related works in terms of the number of completed jobs and success rate.

Vignesh, V.; Santhosh, R.

doi: 10.1504/IJNVO.2021.115817pmid: N/A

The attraction towards cloud computing by industry and individuals increases everyday as the benefits and advantages are much reliable and convenient to user to make the process simple. Software and data giants like Google, Microsoft, and Apple are efficiently utilising the cloud features and the research towards improving its efficiency and utilisation is going on worldwide. Cloud computing has large computational data intensive task and by reducing the complexity of task scheduling the efficiency could be improved. This research identifies the issues the existing task scheduling model and provides an optimised scheduling algorithm. Conventional models such as particle swarm optimisation and PBEES algorithm are compared with proposed improved grey wolf optimisation model experimentally to achieve 96% of utilisation efficiency. This reduces the computation cost and provides high performance computing with reliability among the clients and service providers.

Chaudhari, Shilpa

doi: 10.1504/IJNVO.2021.115818pmid: N/A

Wireless sensor networks (WSNs) usually consist of tiny sensor nodes to sense the environmental data that are transferred to the sink node via route discovered using unicast/multipath routing protocol. The multipath routing protocols improve load balancing and quality of service in addition to the reliable transfer of sensed data to the sink simultaneously by reducing delay and congestion. This survey gives a brief introduction about the existing multipath routing protocols in the literature and its classifications into four categories as follows. 1) Distributed meta-heuristic-based route discovery uses intelligent algorithms for path discovery; 2) local-heuristic knowledge-based route discovery uses node level statistics to discover the route; 3) route discovery specific to multimedia applications; 4) route discovery for secure transmission of data. A comparison between these protocols in terms of various routing parameters for path discovery, traffic distribution, and path maintenance is described for each class of multipath routing protocols.