Portal services typically include: Security - users log onto a portal using a web browser and authenticate by means of a user-id and password (can maintain user, session information). Grid portals map this user ID to grid credentials. Data Management – provides access to files, collections, and metadata for local and remotefiles, supports third party file transfer; Job submission - the ability to submit jobs to the Grid for execution and monitoring is a classic service provided by portals; Information services - access to directories and status tools is an essential role of the portal; Application Interfaces – enables hiding Grid details behind useful application interfaces; Collaboration – portals serve as gateways to virtual organizations (VO) to share resources; Workflow – presents the user with tasks and assumes the responsibility of integrating these tasks into sequences; Visualization - provides tools that give users access to data, rendering, and visualization resources and can provide some level of data viewing or can be used to launch more advanced tools.
Remote File Inclusion (RFI) occurs when a remote file, usually a shell (a graphical interface for browsing remotefiles and running your own code on a server), is included into a website which allows the hacker to execute server side commands as the current logged on user, and have access to files on the server. With this power the hacker can continue on to use local exploits to escalate his privileges and take over the whole system.
PDP/POR. It turns out that the questions above have been studied extensively in the last few years. Proof-of-storage schemes allow clients to verify that their remotefiles are still pristine even though they do not possess any local copy of these files. Two basic approaches have emerged: Provable Data Possession (PDP), introduced by Ateniese et al. , and Proof of Retrievability (POR), independently introduced by Juels and Kaliski  (building on a prior work by Naor and Rothblum ). They were later extended in several ways in [33, 5, 19, 4, 41, 12, 35, 20]. In a PDP scheme, file blocks are signed by the clients via authentication tags. During an audit, the remote server is challenged and proves possession of randomly picked file blocks by returning a short proof of possession. The key point is that the response from the server is essentially constant, thanks to the homomorphic property of authentication tags that makes them compressible to fit into a short string. Any data alteration or deletion will be detected with high probability. In POR, in addition, error correction codes are included along with remote file blocks. Now, the server provides a proof that the entire file could potentially be recovered in case of hitches.
By default, the Workgroup Remote workstation can perform limited functionality. The Workgroup Administrator can configure remotes to perform additional WorldShip functions. Note: There are two methods of installing a Workgroup Remote work station: installing from the DVD or installing from a shared drive.
This document is designed to provide a best practice guide to working with Package Servers in your Altiris infrastructure. It helps you understand how Package Servers are an essential part of any Altiris environment, used as a remote distribution point for hosting files, packages, images, personality packages, and more, so they can be accessed by managed computers.
3. For WorldShip Workgroup Administrative Workstations: Please be aware that the WorldShip database will be disconnected if your Workgroup Administrative workstation goes into sleep mode. You must close WorldShip on both the Workgroup Administrative and Remote workstations and relaunch the application to resolve this issue. If necessary, consult your computer technical support staff for questions about sleep mode and how to adjust this setting.
It is considered that a cloud data storage service involving three different entities, as illustrated in Fig.1: the cloud user, who has large amount of data files to be stored in the cloud; the cloud server, which is managed by the cloud service provider to provide data storage service and has significant storage space and computation resources (we will not differentiate CS and CSP hereafter); the third- party auditor, who has expertise and capabilities that cloud users do not have and is trusted to access the cloud storage service reliability on behalf of the user upon request. Some more problems related with the cloud storage are as follows :
Debugging JSP files is slightly trickier because a JSP compilation phase occurs just before run time. Therefore, you will miss out on the strong type checking and syntax checking that normally occurs with typical Java programming. Also, you are dealing with multiple layers of coding (a JSP is converted into a servlet, which is compiled into a .class file, which
Supervised classification was performed using both panchromatic and hyperspectral remote sensing im- ages in our experiments. We first introduce the two data sets and the experimental setup. Then, the comparative evaluation of classification results achieved by APs and FPs based on different trees will be provided.
Let consider mentioned disadvantages on the example. Some user has books and video materials on C++ and Java programming languages. If the user uses hierarchical way to store his files, he needs to create the following folders: «/Books/C++», «/Books/Java», «/Videos/C++» and «/Videos/Java». But also he may have other directories structure: «/C++/Books/», «/C++/Videos/», «/Java/Books» and «/Java/Videos». So, there is no convenient way to look at all videos or at all C++ materials and it is doesn’t matter which structure user had chosen. The redundancy of the information is obviously, one way or another, some folders have duplicates with the same names. You can see an illustration for this example in Fig. 2.
Several E-learning systems based on cloud are being proposed, like  or . In , an E-learning ecosystem based on cloud computing and Web 2.0 technologies is presented, and the article analyses the services provided by public cloud computing environments such as Google App Engine, Amazon Elastic Compute Cloud (EC2) or Windows Azure. It also highlights the advantages of deploying E- Learning 2.0 applications for such an infrastructures, and identify the benefits of cloud-based E-Learning 2.0 applications (scalability, feasibility, or availability) and underlined the enhancements regarding the cost and risk management. In addition,  is used to run web 2.0 applications, such as video teleconferencing, voice over IP, and remote management, over handheld devices and terminals. As it is targeted towards military usage, the work from  has a multi-level security and the network infrastructure is encrypted.
Are disk quotas configured on disks, volumes, folders, or files? What effect does compressing files have on the disk quota limit? What actions can be taken when a user exceeds the disk quota limit? How can you have a disk quota configured, but still allow users to exceed
Remote access file systems enable an application that runs on a client computer to access files stored on a different computer. Remote file systems also often make other resources (remote printers, for example) accessible from a client computer. The remote file and resource access takes place using some form of Local Area Network (LAN), Wide Area Network (WAN), point-to-point link, or other communication mechanism. These file systems are often referred as network file systems. The components that make a files access system include file systems, file access protocol used to access the remote file system and an identity provider that contains the identities of all the clients