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Sanaei Z.,YTL Communications and Xchanging | Abolfazli S.,YTL Communications and Xchanging | Gani A.,University of Malaya | Chen M.,Huazhong University of Science and Technology
Proceedings - 2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2015 | Year: 2015

Hybrid Mobile Cloud Computing (HMCC) refers to a Mobile Computation Outsourcing (MCO) model that exploits hybrid granular cloud-based resources composed of coarse-, medium-, and fine-grained resources interconnected by wireless and wired networks to augment mobile devices. Leveraging single type of granules for augmentation (i.e., vertically heterogeneous) has its own deficiencies of low proximity or/and scalability that leads to communication or/and computation latency. Therefore, responsiveness and energy efficiency of cloud-connected Compute-intensive Mobile Applications (CiMA) are degraded. In this paper, we aim to enhance energy-time efficiency of executing CiMA using HMCC. Performance evaluation results show significant gains, 80%-96% round-trip time and 83%-96% energy saving when executing CiMA using HMCC. © 2015 IEEE. Source


Abolfazli S.,YTL Communications and Xchanging | Sanaei Z.,YTL Communications and Xchanging | Tabassi A.,YTL Communications and Xchanging | Rosen S.,YTL Communications and Xchanging | And 2 more authors.
IEEE Cloud Computing | Year: 2015

Cloud computing is rapidly penetrating academia, industry, and government sectors around the globe. Malaysia is one country that's rapidly adopting cloud computing, and its government is aiming to lead cloud adoption in the region. This article presents current trends in the adoption of cloud computing technology in Malaysia. It also discusses future cloud adoption opportunities, and the open challenges that ground future research. It briefly discusses and refers to beneficial documents about cloud adoption efforts in Malaysia as a guide to other governments. © 2015 IEEE. Source


Abolfazli S.,YTL Communications and Xchanging | Sanaei Z.,YTL Communications and Xchanging | Wong S.Y.,YTL Communications and Xchanging | Tabassi A.,YTL Communications and Xchanging | Rosen S.,YTL Communications and Xchanging
ISCAIE 2015 - 2015 IEEE Symposium on Computer Applications and Industrial Electronics | Year: 2015

Wireless data networks, particularly 4th generation (4G) and long-term evolution (LTE) are rapidly gaining ground as predominant telecommunication services to provide high quality services to wireless end-user consumer (WEC). This growth is in response to insatiably increasing popularity and penetration of mobile devices among individual, corporates, business, and government service consumers. Beside adequate resource provisioning and design, ensuring the quality of service (QoS) to WEC is the key in successful adoption of such state-of-the-art wireless communication technologies in national/international scope. Network throughput is one of the key network performance metrics for QoS among end-users. However, demonstrating reliability and validity of network throughput measurement deployed in vendor end-point is a critical task. Moreover, WECs demand reliable, accurate, and consistent tools and methodology that help them to measure network throughput at their end-point. Network service vendors are also interested to predict the future throughput based on historical data from the past. In this paper, we devise a methodology to accurately measure throughput of the 4G WiMAX data network in real wireless environment from end-users perspective. We experimentally and mathematically evaluate the performance of the proposed model and validate our findings using the observed results from OOKLA as a predominant network monitoring tool. Based on the results, we suggest an intelligent monitoring system in corporation of both Iperf and OOKLA that not only can measure the momentous throughput, but also can predict the future throughput based on previous throughput data. © 2015 IEEE. Source

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