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Javid Misirli and Emiliano Casalicchio
The Internet of Things (IoT) uptake brought a paradigm shift in application deployment. Indeed, IoT applications are not centralized in cloud data centers, but the computation and storage are moved close to the consumers, creating a computing continuum b...
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Naseem Adnan Alsamarai and Osman Nuri Uçan
Today, the IoT has become a vital part of our lives because it has entered into the precise details of human life, like smart homes, healthcare, eldercare, vehicles, augmented reality, and industrial robotics. Cloud computing and fog computing give us se...
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Changping Sun, Mengxia Li, Linying Chen and Pengfei Chen
Effective utilization of tugboats is the key to safe and efficient transport and service in ports. With the growth of maritime traffic, more and more large seaports show a trend toward becoming super-scale, and are divided into multiple specialized termi...
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Zulfiqar Ahmad, Tayfun Acarer and Wooseong Kim
To ensure safe, effective, and efficient marine operations, the optimization of maritime communication workflows with a task-oriented scheduling framework is of the utmost importance. Navigation, vessel traffic management, emergency response, and cargo o...
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Laila Bouhouch, Mostapha Zbakh and Claude Tadonki
The development of big data has generated data-intensive tasks that are usually time-consuming, with a high demand on cloud data centers for hosting big data applications. It becomes necessary to consider both data and task management to find the optimal...
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A. Alper Goksoy, Sahil Hassan, Anish Krishnakumar, Radu Marculescu, Ali Akoglu and Umit Y. Ogras
Domain-specific systems on chip (DSSoCs) aim to narrow the gap between general-purpose processors and application-specific designs. CPU clusters enable programmability, whereas hardware accelerators tailored to the target domain minimize task execution t...
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Vamsheedhar Reddy Pillareddy and Ganesh Reddy Karri
Cloud computing is a prominent approach for complex scientific and business workflow applications in the pay-as-you-go model. Workflow scheduling poses a challenge in cloud computing due to its widespread applications in physics, astronomy, bioinformatic...
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Mallu Shiva Rama Krishna and Sudheer Mangalampalli
Task scheduling poses a wide variety of challenges in the cloud computing paradigm, as heterogeneous tasks from a variety of resources come onto cloud platforms. The most important challenge in this paradigm is to avoid single points of failure, as tasks...
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Mansoor Iqbal, Zahid Ullah, Izaz Ahmad Khan, Sheraz Aslam, Haris Shaheer, Mujtaba Humayon, Muhammad Asjad Salahuddin and Adeel Mehmood
Task scheduling algorithms are crucial for optimizing the utilization of computing resources. This work proposes a unique approach for improving task execution in real-time systems using an enhanced Round Robin scheduling algorithm variant incorporating ...
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Bo Xu, Yi Hu, Menglan Hu, Feng Liu, Kai Peng and Lan Liu
Recent years have witnessed a paradigm shift from centralized cloud computing to decentralized edge computing. As a key enabler technique in edge computing, computation offloading migrates computation-intensive tasks from resource-limited devices to near...
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Miao Zhang, Peng Jiao, Yong Peng and Quanjun Yin
Cloud computing has been studied and used extensively in many scenarios for its nearly unlimited resources and X as a service model. To reduce the latency for accessing the remote cloud data centers, small data centers or cloudlets are deployed near end-...
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Suzhen Wang, Zhongbo Hu, Yongchen Deng and Lisha Hu
Task offloading and resource allocation are the major elements of edge computing. A reasonable task offloading strategy and resource allocation scheme can reduce task processing time and save system energy consumption. Most of the current studies on the ...
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Nam Eung Hwang, Hyung Jun Kim and Jae Gwan Kim
In this paper, we propose a centralized task allocation and an alignment technique based on constraint table and alignment rules. For task allocation, a scoring scheme has to be set. The existing time-discounted scoring scheme has two problems; if the sc...
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June-sup Yi, Tuan Anh Luong, Hosik Chae, Min Sung Ahn, Donghun Noh, Huy Nguyen Tran, Myeongyun Doh, Eugene Auh, Nabih Pico, Francisco Yumbla, Dennis Hong and Hyungpil Moon
This work proposes an online task-scheduling method using mixed-integer programming for a multi-tasking problem regarding a dual-arm cooking robot in a controlled environment. Given each task?s processing time, their location in the working space, depend...
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Dadmehr Rahbari
In recent years, the increasing use of the Internet of Things (IoT) has generated excessive amounts of data. It is difficult to manage and control the volume of data used in cloud computing, and since cloud computing has problems with latency, lack of mo...
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Jin Nakabe, Teruhiro Mizumoto, Hirohiko Suwa and Keiichi Yasumoto
As the number of users who cook their own food increases, there is increasing demand for an optimal cooking procedure for multiple dishes, but the optimal cooking procedure varies from user to user due to the difference of each user?s cooking skill and e...
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Afra A. Alabbadi and Maysoon F. Abulkhair
Recently, with the development of mobile devices and the crowdsourcing platform, spatial crowdsourcing (SC) has become more widespread. In SC, workers need to physically travel to complete spatial?temporal tasks during a certain period of time. The main ...
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Suleiman Sa?ad, Abdullah Muhammed, Mohammed Abdullahi, Azizol Abdullah and Fahrul Hakim Ayob
Recently, cloud computing has begun to experience tremendous growth because government agencies and private organisations are migrating to the cloud environment. Hence, having a task scheduling strategy that is efficient is paramount for effectively impr...
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Mohd Hafizuddin Bin Kamilin, Mohd Anuaruddin Bin Ahmadon and Shingo Yamaguchi
In this journal, we proposed a novel method of using multi-task learning to switch the scheduling algorithm. With multi-task learning to change the scheduling algorithm inside the scheduling framework, the scheduling framework can create a scheduler with...
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Sohaib Iftikhar Abbasi, Shaharyar Kamal, Munkhjargal Gochoo, Ahmad Jalal and Kibum Kim
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