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Xi Zhang36
Estimated H-index: 36
(Texas A&M University),
Qixuan Zhu2
Estimated H-index: 2
(Texas A&M University)
Mobile cloud-computing is a wireless network environment that focuses on sharing the publicly available wireless resources. Wireless network virtualization provides an efficient technique to implement the mobile cloud-computing by enabling multiple virtual wireless networks to be mapped onto one physical substrate wireless network. One of the most important challenges of this technique lies in how to efficiently allocate the wireless resources of physica...
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Athina Bourdena14
Estimated H-index: 14
(University of Nicosia),
Constandinos X. Mavromoustakis19
Estimated H-index: 19
+ 2 AuthorsCiprian Dobre20
Estimated H-index: 20
The high proliferation of on-line gaming along with the high demands of availability of network resources, created the need for the development of Cloudified services that will augment computation capabilities of mobile devices. To this end, this work elaborates on the design, the development and the comparative evaluation with other similar models, as well as with real-time comparisons through emulators, of a process-offloading scheme that is based on a mobile opportunistic cloud computing appr...
10 Citations Source Cite
Mike Jia5
Estimated H-index: 5
Weifa Liang23
Estimated H-index: 23
+ 2 AuthorsYu Ma2
Estimated H-index: 2
3 Citations Source Cite
S. Eman Mahmoodi3
Estimated H-index: 3
(Stevens Institute of Technology),
R. N. Uma10
Estimated H-index: 10
K. P. Subbalakshmi24
Estimated H-index: 24
Cloud offloading is an indispensable solution to supporting computationally demanding applications on resource constrained mobile devices. In this paper, we introduce the concept of wireless aware joint scheduling and computation offloading (JSCO) for multicomponent applications, where an optimal decision is made on which components need to be offloaded as well as the scheduling order of these components. The JSCO approach allows for more degrees of freedom in the solution by moving away ...
24 Citations Source Cite
Mohammad Shojafar19
Estimated H-index: 19
(Sapienza University of Rome),
Nicola Cordeschi14
Estimated H-index: 14
Enzo Baccarelli23
Estimated H-index: 23
Providing real-time cloud services to Vehicular Clients (VCs) must cope with delay and delay-jitter issues. Fog computing is an emerging paradigm that aims at distributing small-size self-powered data centers (e.g., Fog nodes) between remote Clouds and VCs, in order to deliver data-dissemination real-time services to the connected VCs. Motivated by these considerations, in this paper, we propose and test an energy-efficient adaptive resource scheduler for Networked Fog Centers (NetFCs). They ope...
119 Citations Source Cite
Yiming Zhang8
Estimated H-index: 8
(National University of Defense Technology),
Dongsheng Li10
Estimated H-index: 10
+ 3 AuthorsXi-cheng Lu12
Estimated H-index: 12
In recent years cloud computing provides a new way to address the constraints of limited energy, capabilities, and resources. Distributed hash table (DHT) based networks have become increasingly important for efficient communication in large-scale cloud systems. Previous studies mainly focus on improving the performance such as latency, scalability and robustness, but seldom consider the security demands on the routing paths, for example, bypassing untrusted intermediate nodes. Inspired by Inter...
3 Citations Source Cite