Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
With the development of the Internet, people's production and life has undergone tremendous changes. People's way of study is no longer limited to books and words, online education is becoming a trend, more and more online education system has been developed, like mooc, coursera and so on. Seemingly simple online education platform, which has a complex architecture design, we not only need to consider...
Computer-system logs often contain high volumes of interesting, useful information, and are an important data source for network security analysis. In this paper, we propose a distributed log stream processing system consisting of three main parts: log collection module, log transmission module and log statistics module. The system uses several open source technologies, not only supports multi-source...
In this paper, a new locking protocolis being proposed which will be applied on a distributed database system. Two Phase Locking protocol will be implemented along with Secure Hash Algorithm-3, 512 variant. The Two phase locking algorithm is used to provide resources to the user which reduces the chances of deadlock. A hash value is calculated for every data that is sent to the client by the database...
Huge amount of data with both space and text information, e.g., geo-tagged tweets, is flooding on the Internet. Such spatio-textual data stream contains valuable information for millions of users with various interests on different keywords and locations. Publish/subscribe systems enable efficient and effective information distribution by allowing users to register continuous queries with both spatial...
Fast data analytics at an increasingly large scale has become a critical task in any Internet service company. For example, in Baidu, the major search engine company in China, large volumes of Web and business data in PB-scale are timely and constantly acquired and analyzed for the purposes of evaluating product revenue, tracking product demanding activities on market, predicting user behavior, upgrading...
Due to their scalability and low cost, object-based storage systems are an attractive storage solution and widely deployed. To gain valuable insight from the data residing in object storage but avoid expensive copying to a distributed filesystem (e.g. HDFS), it would be natural to directly use them as a storage backend for data-parallel analytics frameworks such as Spark or MapReduce. Unfortunately,...
In this work, we propose a bidding policy for cloud users to reduce the instance rental bill by using the spot instance. Our approach is based on the recently developed two-timescale Lyapunov Optimization framework. It is shown that our approach is effective to save the instance rental cost.
Existing real-time data processing will come to a performance limitation with the rapid development of power grid. This paper proposes a method of distributed storing and processing for real-time data in smart grid dispatching and control systems. The method applies the multi-machine-multi-thread and parallel computing technology to improve data processing efficiency. Real-time data is partitioned...
A location-based service (LBS) is a software level service that are offered through mobile device based on users' location, that means the user location is known to the service and data provider who may be an external third-party location service (LCS) client. To achieve a good quality of service and good system performance, the system needs to preserve the user's privacy with a quick response and...
Service computing has become very popular nowadays in providing big data analytics. The proposed system deals with how to implement software as a service product for a healthcare domain. Healthcare data has its sources mainly from Electronic health records (EHR), Mobile health applications, wireless medical devices and also wearable devices that can track patient activity. This huge volume of data...
ith the wide deployment of various kinds of sensors in fixed infrastructures and in mobile devices, technologies and applications of crowd-sensing has drawn attentions in the fields of mobile computing. This paper studies the design of frameworks for crowd-sensing process in a distributed environment. We discuss the realization of the compatibilities of devices and services, as well as the algorithms...
Data partitioning is a crucial component of any distributed storage system that wants to scale. For retrieval efficiency, data frequently requested together in the same query should be placed on the same server as much as possible. Although intuitive, this is not easy to be implemented if constrained by load balancing, computationally, it is an NP hard problem. Existing research has offered approximate...
We propose a new secure online storage scheme based on an open P2P network without a central server. In the proposed scheme, attackers cannot detect target user data in the online storage because the user data is divided into some parts by the secret sharing, and they are distributed to P2P nodes via the anonymous communication. The proposed scheme can prevent the direct attack on the target user...
Distributed Transactional Memory (DTM) is a concurrency mechanism aimed at simplifying distributed programming by allowing operations to execute atomically, mirroring the well-known transaction model of relational databases. DTM can play a fundamental role in the coordination of participants in mobile distributed applications. Most DTM solutions follow a full replication scheme, in spite of recent...
The growing importance of huge amount of data and the data analysis for business agility has prophesied managerial decisions to ensure data security and disaster recovery options. This growing dependency has triggered extensive storage of data and development of ‘high availability’ databases. One of the prevalent practices in the industry is to provide for a data center (DC) where the on-going service...
Many applications these days require data processing that is both efficient and reliable. Distributed databases are one way to meet these requirements, but must be updated using distributed transactions. To manage foreign key constraints, secondary indices, and materialized views in distributed environments, read atomic multi-partition (RAMP) transactions demonstrate high efficiency. RAMP transactions...
In this paper, we address a novel method to efficiently manage and analyze a large amount of log data. First, we present a new Apache Hive-based data storage and analysis architecture to process a large volume of Hadoop log data, which rapidly occur in multiple nodes. Second, we design and implement three simple but efficient anomaly detection methods. These methods use moving average and 3-sigma...
Digital data both structured and unstructured data is everywhere and continues to grow approximately every two years. Due to increasing uses of data, creating tremendous data storage challenges in all industry. Object based Storage can be applied in both public and private clouds service models. Object based storage is used to store the data from various users through REST API Using HTTP(S) protocol...
The volume of scientific data has been increasing dramatically over the past decades. Due to its large data size, it becomes rather hard to efficiently organize the archived scientific data so as to provide fast data access capability. The indexing techniques, especially the multidimensional indexing techniques which can handle complex data, are heavily demanded and thus have been playing a critical...
The spatial join is usually processed in two steps: filter and refinement. The first creates candidate pairs based on the objects' abstractions, like object pairs having overlapping minimum bounding rectangles (MBRs). The second step then further checks each candidate pair whether the objects fit the join condition with their actual shapes. This two-step strategy prevents the disk I/O and CPU overhead...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.