M
Muhammad Shiraz
Researcher at Federal Urdu University
Publications - 68
Citations - 3252
Muhammad Shiraz is an academic researcher from Federal Urdu University. The author has contributed to research in topics: Cloud computing & Mobile cloud computing. The author has an hindex of 28, co-authored 62 publications receiving 2725 citations. Previous affiliations of Muhammad Shiraz include Riphah International University & Information Technology University.
Papers
More filters
Journal ArticleDOI
Big Data: Survey, Technologies, Opportunities, and Challenges
Nawsher Khan,Ibrar Yaqoob,Ibrahim Abaker Targio Hashem,Zakira Inayat,Waleed Kamaleldin Mahmoud Ali,Muhammad Alam,Muhammad Shiraz,Abdullah Gani +7 more
TL;DR: This study comprehensively surveys and classifies the various attributes of Big data, including its nature, definitions, rapid growth rate, volume, management, analysis, and security, and proposes a data life cycle that uses the technologies and terminologies of Big Data.
Journal ArticleDOI
A survey on virtual machine migration and server consolidation frameworks for cloud data centers
TL;DR: This paper reviews state-of-the-art bandwidth optimization schemes, server consolidation frameworks, DVFS-enabled power optimization, and storage optimization methods over WAN links and investigates the critical aspects of virtual machine migration schemes.
Journal ArticleDOI
A Review on Distributed Application Processing Frameworks in Smart Mobile Devices for Mobile Cloud Computing
TL;DR: existing Distributed Application Processing Frameworks (DAPFs) for SMDs in MCC domain are reviewed, thematic taxonomy of current DAPFs are proposed, and open research issues in distributed application processing for MCC that remain to be addressed are put forward.
Journal ArticleDOI
Cloud service selection using multicriteria decision analysis.
Whaiduzzaman,Abdullah Gani,Nor Badrul Anuar,Muhammad Shiraz,Mohammad Nazmul Haque,Israat Haque +5 more
TL;DR: This paper identifies and synthesizes several MCDA techniques and provides a comprehensive analysis of this technology and presents a taxonomy derived from a survey of the current literature.
Journal ArticleDOI
Application partitioning algorithms in mobile cloud computing
TL;DR: This paper is the first to propose a thematic taxonomy for APAs in MCC and highlights the issues and challenges in partitioning of elastic application to assist in selecting appropriate research domains and exploring lightweight techniques of distributed application processing in Mcc.