M
Mahyar Movahed Nejad
Researcher at University of Delaware
Publications - 37
Citations - 1332
Mahyar Movahed Nejad is an academic researcher from University of Delaware. The author has contributed to research in topics: Cloud computing & Provisioning. The author has an hindex of 16, co-authored 37 publications receiving 963 citations. Previous affiliations of Mahyar Movahed Nejad include Wayne State University & Northwestern Polytechnical University.
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Cloud Federations in the Sky: Formation Game and Mechanism
TL;DR: A cloud federation formation mechanism that enables the cloud providers to dynamically form a cloud federation maximizing their profit and produces a stable cloud federation structure, that is, the participating cloud providers in the federation do not have incentives to break away from the federation.
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Truthful Greedy Mechanisms for Dynamic Virtual Machine Provisioning and Allocation in Clouds
TL;DR: This work forms the dynamic VM provisioning and allocation problem for the auction-based model as an integer program considering multiple types of resources and designs truthful greedy and optimal mechanisms for the problem such that the cloud provider provisions VMs based on the requests of the winning users and determines their payments.
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An Online Mechanism for Resource Allocation and Pricing in Clouds
TL;DR: An auction-based online mechanism for VM provisioning, allocation, and pricing in clouds that considers several types of resources is designed and it is proved that the mechanism is incentive-compatible, that is, it gives incentives to the users to reveal their actual requests.
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Energy-Aware Scheduling of MapReduce Jobs for Big Data Applications
TL;DR: This paper proposes two heuristic algorithms, called energy-aware MapReduce scheduling algorithms (EMRSA-I and EMRSA-II), that find the assignments of map and reduce tasks to the machine slots in orderto minimize the energy consumed when executing the application.
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A PTAS Mechanism for Provisioning and Allocation of Heterogeneous Cloud Resources
TL;DR: This work addresses the problem of autonomic VM provisioning and allocation for the auction-based model considering multiple types of resources by designing an approximation mechanism and shows that the proposed approximation mechanism is a polynomial-time approximation scheme (PTAS).