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Energy-efficient cloud resource management
(
IEEE
, 2014 , Conference Paper)
We propose a resource management framework that reduces energy consumption in cloud data centers. The proposed framework predicts the number of virtual machine requests along with their amounts of CPU and memory resources, ...
Toward Intelligent Network Optimization in Wireless Networking: An Auto-Learning Framework
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
In wireless communication systems (WCSs), the network optimization problems (NOPs) play an important role in maximizing system performance by setting appropriate network configurations. When dealing with NOPs by using ...
Joint resource scheduling and peak power shaving for cloud data centers with distributed Uninterruptible power Supply
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
The grid company enforces high penalties for the peak power demands of cloud data centers. These high penalties result in high electricity bill that can be avoided by relying on the servers' Uninterruptible Power Supply ...
Malicious mining code detection based on ensemble learning in cloud computing environment
(
Elsevier B.V.
, 2021 , Article)
Hackers increasingly tend to abuse and nefariously use cloud services by injecting malicious mining code. This malicious code can be spread through infrastructures in the cloud platforms and pose a great threat to users ...
Edge and fog computing for IoT: A survey on current research activities & future directions
(
Elsevier B.V.
, 2021 , Other)
The Internet of Things (IoT) allows communication between devices, things, and any digital assets that send and receive data over a network without requiring interaction with a human. The main characteristic of IoT is the ...
Enabling smart cloud services through remote sensing: An internet of everything enabler
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Article)
The recent emergence and success of cloud-based services has empowered remote sensing and made it very possible. Cloud-assisted remote sensing (CARS) enables distributed sensory data collection, global resource and data ...
Online assignment and placement of cloud task requests with heterogeneous requirements
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Managing cloud resources in a way that reduces the consumed energy while also meeting clients demands is a challenging task. In this paper, we propose an energy-aware resource allocation framework that: i) places the ...
Toward energy-efficient cloud computing: Prediction, consolidation, and overcommitment
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Article)
Energy consumption has become a significant concern for cloud service providers due to financial as well as environmental factors. As a result, cloud service providers are seeking innovative ways that allow them to reduce ...
Haddle: A framework for investigating data leakage attacks in hadoop
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Nowadays Hadoop is popular among businesses and individuals for its low costs, convenience, and fast speed. However, this also makes it the goal of data leakage attacks as sensitive data stored with an HDFS infrastructure ...
Processing geo-dispersed big data in an advanced mapreduce framework
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Article)
Big data has emerged as a new era of information generation and processing. Big data applications are expected to provide a lot of benefits and convenience to our lives. Cloud computing is a popular infrastructure that has ...