Social networks, online communities, mobile devices, and instant messaging applications generate complex, unstructured data at a high rate, resulting in large volumes of data. This poses new challenges for data management systems that aim to ingest, store, index, and analyze such data efficiently. In response, we released the first public version of AsterixDB, an open-source Big Data Management...

Contemporary storage systems separate the management of data from the management of the underlying physical storage media used to store that data. This separation is artificial and increases the overall burden of managing such systems. We propose a new management layer that unifies data and storage management without any loss of control over either the data or the storage. The new management la...

background: the present study aimed to analyze the situation of knowledge management among the faculty members in the four components, including creation, linking, organization and storage, and application. methods: this is a survey research and the results are presented descriptively and analytically. the study tool was a questionnaire of knowledge management with 84 questions (creation of kno...

Storage management is an area of sensor network research that is starting to attract attention. The need for storage management arises primarily in the class of sensor networks where information collected by the sensors is not relayed to observers in real-time (e.g., scientific monitoring applications). In such applications, the data must be stored, at least temporarily, within the network unti...

With the increasing of storage scale and complexity, the storage management for heterogeneous environments is becoming more and more important. This paper introduces an improved software target emulator integrated with storage virtualization management called VTarget, and some key technologies are explained in detail. The VTarget system can manage various heterogeneous storage resources and pro...

this paper presents a new formulation for warehouse inventory management in a stochastic situation. the primary source of this formulation is derived from fp model, which has been proposed by fletcher and ponnambalam for reservoir management. the new proposed mathematical model is based on the first and the second moments of storage as a stochastic variable. using this model, the expected value...

This paper presents a new formulation for warehouse inventory management in a stochastic situation. The primary source of this formulation is derived from FP model, which has been proposed by Fletcher and Ponnambalam for reservoir management. The new proposed mathematical model is based on the first and the second moments of storage as a stochastic variable. Using this model, the expected value...

This paper presents the data management issues associated with a large center like the NCCS and how these issues are addressed. More specifically, the focus of this paper is on the recent transition from a legacy UniTree (Legato) system to a SAM-QFS (Sun) system. Therefore, this paper will describe the motivations, from both a hardware and software perspective, for migrating from one system to ...