http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : M. Atiquzzaman (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
-
-
Sharma, V.,Song, F.,You, I.,Atiquzzaman, M. Academic Press 2017 JOURNAL OF NETWORK AND COMPUTER APPLICATIONS - Vol.97 No.-
<P>Connectivity among real-world entities is one of the primary requirements of the upcoming Fifth Generation Public Private Partnership (5G-PPP). Both Internet of Things (IoT) and Body Sensor Networks (BSNs) are major applications of 5G networks. However, over-consumption of energy for device discovery, which includes registration, removal, querying, routing etc, quickly depletes the resources of a node, which may further influence the whole network. There are a number of approaches which provide energy efficient mechanisms for the selection of devices in a network operating with different types of nodes; however, these approaches are unable to maintain a high transmission capacity along with energy conservation and fault-tolerance. In this paper, an energy efficient approach for device discovery in 5G-based IoT and BSNs using multiple Unmanned Aerial Vehicles (UAVs) is presented. A functional architecture is proposed, which utilizes XML charts to perform device discovery on the basis of networks state cost and available energy. The significant gains achieved in energy consumption, end to end delays and packet loss show that our solution is capable of providing energy efficient device discovery with 78.4% reduction in the overall energy consumption compared to existing solutions. The advantage of UAVs in energy efficient networking is illustrated using numerical analysis which suggests 75% enhancement in the energy-asymptote of the existing networks.</P>
-
SDM: Smart deduplication for mobile cloud storage
Widodo, R.N.S.,Lim, H.,Atiquzzaman, M. North-Holland 2017 Future generations computer systems Vol.70 No.-
<P>Cloud storages can be used to solve limited storage on mobile devices. The stored data can be reached from anywhere if network access is available. Network access can be costly, especially for mobile devices, which have limited power source. One of the solutions to reduce the amount of data transfer is data deduplication. This paper proposes a deduplication system called Smart Deduplication for Mobiles (SDM) for mobile devices. SDM chooses the best deduplication method without specific configurations for any file type. We compared our system to existing deduplication systems available on mobile devices. Results show that SDM achieves higher deduplication accuracy and faster deduplication speed over existing systems for mobile devices with negligible additional time in most scenarios. The additional time required by our system is negligible when compared to the power saved from uploading fewer data to a cloud storage. (C) 2016 Elsevier B.V. All rights reserved.</P>
-
A new content-defined chunking algorithm for data deduplication in cloud storage
Widodo, R.N.S.,Lim, H.,Atiquzzaman, M. North-Holland 2017 Future generations computer systems Vol.71 No.-
<P>Chunking is a process to split a file into smaller files called chunks. In some applications, such as remote data compression, data synchronization, and data deduplication, chunking is important because it determines the duplicate detection performance of the system. Content-defined chunking (CDC) is a method to split files into variable length chunks, where the cut points are defined by some internal features of the files. Unlike fixed-length chunks, variable-length chunks are more resistant to byte shifting. Thus, it increases the probability of finding duplicate chunks within a file and between files. However, CDC algorithms require additional computation to find the cut points which might be computationally expensive for some applications. In our previous work (Widodo et al., 2016), the hash-based CDC algorithm used in the system took more process time than other processes in the deduplication system. This paper proposes a high throughput hash-less chunking method called Rapid Asymmetric Maximum (RAM). Instead of using hashes, RAM uses bytes value to declare the cut points. The algorithm utilizes a fix-sized window and a variable-sized window to find a maximum-valued byte which is the cut point. The maximum-valued byte is included in the chunk and located at the boundary of the chunk. This configuration allows RAM to do fewer comparisons while retaining the CDC property. We compared RAM with existing hash-based and hash-less deduplication systems. The experimental results show that our proposed algorithm has higher throughput and bytes saved per second compared to other chunking algorithms. (C) 2017 Elsevier B.V. All rights reserved.</P>
-
Novel web agent framework to support seamless mobility for data networks
Lee, Y.J.,Lee, D.W.,Atiquzzaman, M. IET 2009 IET COMMUNICATIONS Vol.3 No.12
<P>In this study, the authors address a mobile Web agent framework based on stream control transmission protocol (SCTP) to overcome the deficiencies, which the typical mobile Web agent framework based on transmission control protocol (TCP) suffers from, such as performance degradation, head-of-line blocking and unsupported mobility in mobile wireless environment. The proposed SCTP-based mobile Web agent framework supports seamless transport layer mobility in a ubiquitous environment. It consists of an application engine and a transport engine, to use the hypertext transfer protocol and to deploy SCTP with dynamic address reconfiguration, respectively. The authors explore and describe the components necessary to implement the proposed mobile Web agent framework in an ubiquitous environment. The performance of the proposed SCTP-based mobile Web agent is compared with that of a typical TCP-based mobile Web agent using ns-2 simulator. The simulation results show that the proposed Web agent based on SCTP has a remarkably lower mean response time than a typical Web agent based on TCP.</P>
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
