There is a growing diversity of client devices that have access to the Internet. However, much of the contenton the Internet cannot be handled by the devices that have limited communication, processing, storage and display capabilities. In order to improve the utility of a wide range of client

Abstract—We present an automated solution for rapid diagnosis of client device problems in private cloud environ-ments: the Intelligent Automated Client Diagnostic (IACD) system. Clients are diagnosed with the aid of Transmission Control Protocol (TCP) packet traces, by (i) observation of anomalous

on the battery life of client devices. In the data center, the amount of energy required for thousands of HDDs/SSDs competes with that of small cities. In this article, we propose a range of storage power optimization techniques that apply equally well to client devices and data centers. A number of power

The growing adoption of electronic medical records will require that healthcare professionals and patients are able to access health information on devices such as laptops, personal computers, and even smart phones. Due to the sensitive nature of such information, it is important to secure client

This paper presents the design and implementation of the Intentional Naming System (INS), a resource discovery and service location system for dynamic and mobile networks of devices and computers. Such environments require a naming system that is (i) expressive, to describe and make requests based

based on rules created for mobile devices. Rules are invoked based on the individual client device information. Results: The adaptation has been performed according to the delivery device which was formalized through the profiler system. A profile holds information about the hardware and software

Abstract. The goal of the SLAM project is to check whether or not a program obeys "API usage rules " that specif[y what it means to be a good client of an API. The SLAM toolkit statically analyzes a C program to determine whether or not it violates given usage rules. The toolkit has two

and reporting framework. This is designed to reflect all the dependencies of the virtual environment of a guest operating system. The work is a core enabling component of our research around converged devices – client platforms such as notebooks or desktop PCs that can safely host multiple virtual operating

investigators cannot grant access to cloud servers due to privacy policies followed by cloud providers. Actually, amount of evidences can be extracted from client devices that may be of forensic investigator’s interests. This research utilizes open source cloud software to study cloud client structure

. The process is realized in the SLAM toolkit, which consists of a model checker, predicate abstraction tool and predicate discovery tool. We have applied the SLAM toolkit to a number of Windows NT device drivers to validate critical safety properties such as correct locking behavior. We have found