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This paper describes the analysis, design, and implementation of responsive data representation in the web application that can render data asynchronously to users by making an Application Programming Interface (API) request from a webserver. At the same time, provides high-quality downloadable Scalable Vector Graphics (SVG) images for journals, magazines, and other printed media. For this issue, large-scale data that uses open-source Covid-19 data was used to improve the Covid-19 data visualization and the other improvements that can be done for proper representation of such vital data to the general public. During the development process, qualitative research into data representation with responsive charts and/or Scalable Vector Graphics images file has been conducted in contrast of each other to answer questions like what tools and technologies are often used, what are the alternative tools and technology, when, where, and why developers make use of certain approach to data representation. © 2021. All Rights Reserved.

Grid computing is an enhanced technology consisting of a pool of connected machines that belong to multiple organizations in different sites to form a distributed system. This system can be used to deal with complex scientific or business problems. It is developed to help share distributed resources that may be diverted in nature and solve many computing problems. The typical decentralized grid computing model faces many challenges, such as; different systems and software architectures, quickly handling the enormous amount of grid requesters, and finding the appropriate resources for the grid users. Some of the grid requests might need to get significant attention and fast response to the other requests. Usually, the Grid Broker (GB) works as a third party or mediator between grid service providers and grid service requesters. This paper introduced a new automated system that can help exploit the grid power, improve its functionality, and enhance its performance. This research presents a new architecture for the Grid Broker that can assist with high priority requests and be processed first. This system is also used to monitor and provision the grid providers' work during the job running. It uses a multi-agent system to facilitates its work and accomplish its tasks. The proposed approach is evaluated using the Jade simulator. The results show that using the proposed approach can enhance the way of dealing with high priority requests coming to the grid.

Grid Computing refers to systems and applications that incorporate and control distributed services and resources to resolve systematic or industrial issues. Over the past few years, developers have realized the need for an automatic mechanism that can be used in employing the grid power, improving its operating and enhancing its production. Multi-Agents Systems are generally employed to solve problems by using decentralized techniques by a set of agents collaborate to resolve a challenge. Hence, it is considered suitable solutions for open systems that change frequently. In this paper, we propose a modern architecture that utilizes a Multi Agent System not only to help in choosing the best resources but also to generate the negotiation protocol between the grid users and providers to fully deploy the capacity of grid computing. Moreover, the proposed architecture can play the main role in monitoring the list of users' jobs as they are being handled.

computing is a huge amount of distributed and dynamic sharing resources that are provided on request to clients over the Internet instead of having a local server or personal devices to deal with applications. Usually, cloud servers don't work at full power; means there's some processing power will be unused. To make use of this wasted power, it's possible to use the mobility which is used to migrate application software, data or jobs among cloud servers. The problem with such technology is the privacy. In this paper we proposed a policy management framework to protect the privacy while applying the mobility method in the cloud environment.

Trends of various intracranial pressure (ICP) parameters for high pressure hydrocephalus patients are utilized to detect various shunt faults in their early stages, as well as, to monitor the effect of such faults on shunt performance. A method was proposed to predict the time required for ICP to be abnormal and for the valve to reach full blockage condition. Furthermore, an auto valve schedule updating method is proposed and used to temporarily deal with detected faults until the patient is checked up by his/her physician. The proposed algorithms were evaluated using numerical simulation.

Mobile ad hoc networks (MANETs) are self-configuring infrastructure-less networks comprised of mobile nodes that communicate over wireless links without any central control on a peer-to-peer basis. These individual nodes act as routers to forward both their own data and also their neighbours' data by sending and receiving packets to and from other nodes in the network. The relatively easy configuration and the quick deployment make ad hoc networks suitable the emergency situations (such as human or natural disasters) and for military units in enemy territory. Securing data dissemination between these nodes in such networks, however, is a very challenging task. Exposing such information to anyone else other than the intended nodes could cause a privacy and confidentiality breach, particularly in military scenarios. In this paper we present a novel framework to enhance the privacy and data confidentiality in mobile ad hoc networks by attaching the originator policies to the messages as they are sent between nodes. We evaluate our framework using the Network Simulator (NS-2) to check whether the privacy and confidentiality of the originator are met. For this we implemented the Policy Enforcement Points (PEPs), as NS-2 agents that manage and enforce the policies attached to packets at every node in the MANET., Comment: 12 pages

Mobile Grid Services has given the ability to move jobs, data and application software from nodes to nodes during jobs execution in the grid environment. These migrations depend on the grid’s users and the grid’s nodes policies. The heterogeneity, diversity of policies and attributes leads to a need for policy management tools that can handle these problems. Also, before the users can submit their jobs or run their applications on a certain resource or system they may need to guarantee that this resource or system has not been compromised, which could result in their own application or data being stolen or asking for certain users to be allowed to access the service. To date, not enough attention has been paid to policies that deal with such concerns. Most existing grid systems have support only limited types of policies (e.g. CPU resources). A few designs consider enforcing data policies in their architecture. Therefore, we propose a dynamic policy framework that addresses these issues (user-submitted policy, data policy and multiple Virtual Organizations (VOs).

Mobile ad hoc networks (MANETs) are autonomous systems which are comprised of a number of mobile nodes that communicate between themselves by wireless communication in a peer-to-peer basis. They are self-organized, self-configured and self-controlled infrastructure-less networks. Nodes can communicate with each other without any pre-planned or a base station. Disseminating information securely between these nodes in such networks however is a challenging task, particularly when the information is confidential. Revealing such information to anyone else other than the intended nodes could be highly damaging, especially in military applications where keeping the message secret from adversaries is essential. In this paper we present our novel framework for privacy control in mobile ad hoc networks in which privacy policies are attached to messages as they are send between peers. We evaluate our framework using the Network Simulator (NS-2) to provide and check whether the privacy and confidentiality of the originator are met. For this we implemented the privacy enforcement as an NS2 agent that manages and enforces the policies attached to packets at every node in the MANET.

In a multi-organization environment like the GRID, each institute might want to apply some boundaries on how its resources are being utlized by other institutes. A disagreement between the multi-Virtual Organizations (VOs) might happen in the security aspect for the policy framework. Mobile Grid Services has given the ability to move jobs, data and application software from nodes to nodes during jobs execution in the grid environment. It has also solved some of the lack in finding suitable resources for the jobs, but not a lot of attention was given to the policy in this solution. This paper presents a new framework for dynamic policy management to support mobility services in the grid environment.

In a multi-organization environment like the GRID, each institute might want to implement limits on how its resources are being used by other institutes. The problem in most traditional policy frameworks lies in the fact that it concentrates on the policy management inside the VO rather than on the management between multiple VOs. The external users, who want to utilize resources in the GRID, ask for guarantees for their jobs and data which most recent policy frameworks do not take into consideration. To date, not enough attention has been paid to policies that deal with such concerns since most existing Grid systems have supported only limited types of policies. This paper introduces a new dynamic framework that supports the management of security policies within the VOs along with the support for the data policies with addressing external users’ policies when making decisions.

Mobile Ad Hoc Network (MANET) and Vehicular Ad Hoc Network (VANET) are autonomous systems connected by wireless communication on a peer-to-peer basis. They are self-organized, self-configured, and self-controlled infrastructure-less networks. These kinds of networks have the advantage of being able to be set-up and deployed anywhere and anytime because it has a simple infrastructure set-up and no central administration. Distributing information between these nodes over long ranges in such networks, however, is a very challenging task, since sharing information always has a risk attached to it, especially when the information is confidential. The disclosure of such information to anyone else other than the intended parties could be extremely damaging. They are explored in this chapter.