An enhancement of toe model by investigating the influential factors of cloud adoption security objectives

Cloud computing (CC) is a future technological trend for technological infrastructure development. And it is growing strongly as the backbone of industrial future technological infrastructure. As CC service has a lot to offer, it also has some major downside that clients cannot ignore. For CC service adoption, the potential candidates are SMEs but due to lack of resources, experience, expertise and low financial structure scenario CC can be most helpful. CC faces a major issue in term of cloud security, an organization doesn’t understand the cloud security factors in the organization and data owner doubts about their data. In the research paper, an investigation on the cloud security objectives to find out the influential factors for cloud adoption in SMEs by proposing an enhancement of Technology-Organization-Environment (TOE) model with some positive influential factor like cloud security, relative advantages, cost saving, availability, SLA, capability, top management, organizational readiness, IS knowledge, malicious insiders, government regulatory support, competitive pressure, size and type. Some negative influencing factors like technological readiness, cloud trust and lack of standards in cloud security. Data were collected by questionnaires from a selected IT company based on SaaS and public cloud. Case study method has been used for validating the enhance TOE model. The IBM Statistics SPSS v22 tool was used for data analysis. The results of data analysis support the enhancement as well as all the proposed hypotheses. In summary, the results of the analysis show that all the enhancement factors were found to have a significant cloud security influence on adoption of cloud computing for SMEs

An enhanced receiver-based ad hoc on-demand routing protocols for mobile ad hoc networks

In high mobility and high traffic load network situations, the delay time is affected with high end-to-end delay in reactive routing protocols such as AODV. In this paper we proposed an enhanced receiver-based AODV (ERB-AODV) routing protocol by improving the maintenance phase in AODV. ERB-AODV protocol focuses on decreasing the end-to-end delay and the control overhead in high mobility and traffic load. The receiver node uses a controller agent to update the sender node of the current available path. The agent works depend on the history of receiving data packets. Using glomosim, the ERB-ADOV protocol outperforms the AODV protocol in high mobility and traffic load. Results show that, in high mobility, the delay is decreased by 81% and the control overhead is decreased by 77%

Resource management in cloud data centers

Vast sums of big data is a consequence of the data from different diversity. Conventional data computational frameworks and platforms are incapable to compute complex big data sets and process it at a fast pace. Cloud data centers having massive virtual and physical resources and computing platforms can provide support to big data processing. In addition, most well-known framework, MapReduce in conjunction with cloud data centers provide a fundamental support to scale up and speed up the big data classification, investigation and processing of the huge volumes, massive and complex big data sets. Inappropriate handling of cloud data center resources will not yield significant results which will eventually leads to the overall system’s poor utilization. This research aims at analyzing and optimizing the number of compute nodes following MapReduce framework at computational resources in cloud data center by focusing upon the key issue of computational overhead due to inappropriate parameters selection and reducing overall execution time. The evaluation has been carried out experimentally by varying the number of compute nodes that is, map and reduce units. The results shows evidently that appropriate handling of compute nodes have a significant effect on the overall performance of the cloud data center in terms of total execution time

VANETs Multipath Video Data Streaming Considering Road Features

Multipath video streaming in Vehicular Ad-hoc Networks (VANETs) is an evolving research topic. The adoption of video transmission in VANETs communication has become essential due to the comprehensiveness and applicability of video data for on-road advertisement and infotainment. Meanwhile, several research studies have considered how to apply and improve the transmission of the video quality. Due to this, the concurrent multipath transmission has been employed in order to achieve load balancing and path diversity, because of the high data rate of the video data.  However, the main nature of the road, which is the pathway for VANET nodes has not been considered explicitly. In this paper, the road features are considered for VANETs multipath video streaming based on the greedy geographical routing protocol. Thus, VANETs Multipath Video Streaming based on Road Features (VMVS-RF) protocol has been proposed. The protocol was compared with an ordinary Multipath Video Streaming (MVS). The result demonstrates that the proposed VMVS-RF protocol outperforms the MVS in terms of Data Receiving Rate (DRR), Structural Similarity (SSIM) index and Packet Loss Ratio (PLR)

Road-based multi-metric forwarder evaluation for multipath video streaming in urban vehicular communication

In video streaming over vehicular communication, optimal selection of a video packet forwarder is a daunting issue due to the dynamic nature of Vehicular Ad-hoc NETworks (VANETs)and the high data rates of video. In most of the existing studies, extensive considerations of the essential metrics have not been considered. In order to achieve quality video streaming in vehicular network, important metrics for link connectivity and bandwidth efficiency need to be employed to minimize video packet error and losses. In order to address the aforementioned issues, a Road-based Multi-metric Forwarder Evaluation scheme for Multipath Video Streaming (RMF-MVS) has been proposed. The RMF-MVS scheme is adapted to be a Dynamic Self-Weighting score (DSW) (RMF-MVS+DSW) for forwarder vehicle selection. The scheme is based on multipath transmission. The performance of the scheme is evaluated using Peak Signal to Noise Ratio (PSNR), Structural SIMilarity index (SSIM), Packet Loss Ratio (PLR) and End-to-End Delay (E2ED) metrics. The proposed scheme is compared against two baseline schemes including Multipath Solution with Link and Node Disjoint (MSLND) and Multimedia Multi-metric Map-aware Routing Protocol (3MRP) with DSW (3MRP+DSW). The comparative performance assessment results justify the benefit of the proposed scheme based on various video streaming related metrics

Secure routing using frequency hopping in wireless sensor network

Wireless ad hoc sensor networks (WSN) operate in the absence of a pre-deployed infrastructure, are self-configurable, low cost and can be rapidly deployed. Hence, such networks enable a variety of consumer applications, such as emergency rescue, disaster relief, smart homes and patient monitoring, industrial applications, such as structural health monitoring and environmental control, and military applications, such as target identification and tracking. WSN are prone to failure and malicious user attack because any device within the frequency range can get access to the data being transmitted. Thus, the project aims to provide a secure WSN through frequency hopping at the network layer. In this work, Ad hoc On Demand Distance Vector Routing algorithm is used to determine the route and un-Slotted Carrier Sense Multiple Access / Collision Avoidance (slotted CSMA/CA) algorithm is used to access the medium. The frequency hopping algorithm was tested in WSN environment with and without malicious node. The results show tremendous decreased of throughput from malicious node when the number of frequency hop is increased. Therefore, WSN’s security is improved even though the throughput from source is slightly decreased. Proposed future works are addition of frequency synchronization with beacon using slotted CSMA-CA and addition of multiple interfaces support for IEEE 802.15.4 standard

Sistem permohonan pelekat kenderaan UTM berasaskan web

UTM vehicle adhesion application system is an online system developed specifically for UTM residents. In 2018, a UTM vehicle adhesive application system was developed whereby applicants can apply online. However there are functions that need to be made to facilitate the processing of such applications as the payment process. This system has been developed to simplify the process of applying the adhesive compared to the existing system. The main objective of this system is to design and develop a web-based UTM vehicle adhesive application system. The functions of this system have been identified to facilitate the application process to be more systematic. The process of developing the UTM adhesive application system can be carried out on a regular basis using the Evolution Prototype methodology. The methodology can help applicants to understand the system more easily in phases. The system was developed using Laravel software that acts as a framework for PHP programming languages ​​and uses the MySQL database. MySQL databases in this system act as support data and make data storage more organized. This system has been successfully created and hoped to provide and bring the most benefit to all users and provide convenience to the user at the fingertips

Replication effect over hadoop mapreduce performance using regression analysis

Hadoop MapReduce is the community accepted platform that deals with the gigantic data in an efficient and cost-effective manner. To cope up with ever growing datasets and shrinking time to analyze them, Hadoop MapReduce leveraged parallelize computations on large distributed clusters consisting of many machines. Careful consideration of the factors affecting the Hadoop MapReduce can enhance its performance. Many researches has been done for improving the total job execution time of MapReduce by optimizing different parameters. The replication factor is still unexplored for its effect on the MapReduce job completion time. This paper focuses on the evaluation of data replication factor on MapReduce job completion time using regression analysis. The performance of the Hadoop MapReduce job in terms of total job completion time is monitored experimentally by changing different values of replication. The evaluation results evidently shows the dependence of the job completion time on the replication factor. The dependence of total job completion time on the replication has been verified both analytically and experimentally

Offline beacon selection-based RSSI fingerprinting for location-aware shopping assistance: a preliminary result

The location determination in an obstructed area can be extremely challenging particularly when the Global Positioning System (GPS) is blocked. When this happens, users will encounter difficulty in navigating directly onsite, especially within an indoor environment. Occasionally, there is a need to integrate with other sensors in order to establish the location with greater intelligence, reliability, and ubiquity. The use of positioning integration may be useful since it involves as many beacons as necessary to determine positioning. However, the implementation of the integration in the mobile devices platform may lead high computation which in turn could increase power consumption. In this paper, an offline beacon selection-based RSSI fingerprinting is proposed in order to lessen the computation task during the location determination process, as it may cause huge power consumption in mobile devices. By reducing the number of beacons that will be processed, the number of RSSI fingerprinting searches of the location in the spatial database also reduced. Lastly, the preliminary results are presented to illustrate the performance of an indoor environment set-up

Emergency rescue localization (ERL) using GPS, wireless LAN and camera

Congestion avoidance in emergency situations is among one of many overlooked localization issues. During emergency situations (such as fires), sometimes the rescuers find it hard to find the best exit route from the inside to the outside of a building. Any time delay in decision making will risk the loss of lives. Therefore, an efficient Emergency Rescue Localization (ERL) system is needed to help rescuers find the best route from the inside to the outside of a building. Thus, we propose a new ERL that is based on the integration of a Global Positioning System (GPS), Wireless LAN and camera. In this proposed ERL, the integrated Wireless LAN (WLAN) and Camera are used to retrieve location information inside a building. Then, localization methods will be adapted to GPS-based localization when subjects are in open areas outside the building. Finally, we present our experimental results to illustrate the performance of the localization system for indoor and outdoor environment set-u