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IEEE Transactions on Parallel and Distributed Systems is a peer-reviewed journal published by IEEE, covering Parallel Computing and Optimization Techniques, Interconnection Networks and Systems, Cloud Computing and Resource Management. Over its lifetime it has published 6,569 papers, which have received 262,277 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Parallel and Distributed Systems, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Parallel and Distributed Systems style. No sign-up. |
| Publishes research in | Parallel Computing and Optimization Techniques Interconnection Networks and Systems Cloud Computing and Resource Management Advanced Data Storage Technologies Distributed and Parallel Computing Systems |
| ISSN | 1045-9219 |
| Citation impact (2-yr) | 3.74 |
| h-index | 201 |
| i10-index | 4,154 |
| Top institutions publishing here | Tsinghua University |
| Journal website | www.computer.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Efficient application scheduling is critical for achieving high performance in heterogeneous computing environments. The application scheduling problem has been shown to be NP-complete in general cases as well as in several restricted cases. Because of its key importance, this problem has been extensively studied and various algorithms have been proposed in the literature which are…
Cloud Computing has been envisioned as the next-generation architecture of IT Enterprise. It moves the application software and databases to the centralized large data centers, where the management of the data and services may not be fully trustworthy. This unique paradigm brings about many new security challenges, which have not been well understood. This work…
We consider the following natural model: customers arrive as a Poisson stream of rate /spl lambda/n, /spl lambda/<1, at a collection of n servers. Each customer chooses some constant d servers independently and uniformly at random from the n servers and waits for service at the one with the fewest customers. Customers are served according…
With the advent of cloud computing, data owners are motivated to outsource their complex data management systems from local sites to the commercial public cloud for great flexibility and economic savings. But for protecting data privacy, sensitive data have to be encrypted before outsourcing, which obsoletes traditional data utilization based on plaintext keyword search. Thus,…
Personal health record (PHR) is an emerging patient-centric model of health information exchange, which is often outsourced to be stored at a third party, such as cloud providers. However, there have been wide privacy concerns as personal health information could be exposed to those third party servers and to unauthorized parties. To assure the patients'…
