Pub Date : 2024-12-12DOI: 10.1109/JSYST.2024.3514272
{"title":"2024 Index IEEE Systems Journal Vol. 18","authors":"","doi":"10.1109/JSYST.2024.3514272","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3514272","url":null,"abstract":"","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"2177-2223"},"PeriodicalIF":4.0,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10795294","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-04DOI: 10.1109/JSYST.2024.3486435
{"title":"IEEE Systems Council Information","authors":"","doi":"10.1109/JSYST.2024.3486435","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3486435","url":null,"abstract":"","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"C3-C3"},"PeriodicalIF":4.0,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10778091","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-04DOI: 10.1109/JSYST.2024.3486431
{"title":"IEEE Systems Journal Publication Information","authors":"","doi":"10.1109/JSYST.2024.3486431","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3486431","url":null,"abstract":"","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"C2-C2"},"PeriodicalIF":4.0,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10778090","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-04DOI: 10.1109/JSYST.2024.3486437
{"title":"IEEE Systems Journal Information for Authors","authors":"","doi":"10.1109/JSYST.2024.3486437","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3486437","url":null,"abstract":"","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"C4-C4"},"PeriodicalIF":4.0,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10778092","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-19DOI: 10.1109/JSYST.2024.3476167
Tianwen Zhang;Guanghan Bai;Yunxiao Lv;Shuai Zhang;Junyong Tao
Failure modeling and analysis are essential to the reliable and safe operation of unmanned combat system, which ultimately influence the success of a mission. Previous studies mainly focus on failure modeling and analysis of unmanned systems in a single domain, where synergy of cross-domain unmanned combat has rarely been considered. In this study, a multilayered heterogeneous network model for cross-domain unmanned combat system has been developed. In addition, the logistic support, which is another key aspect of any combat is incorporated. Given the interdependencies among the layers considering logistic support and cross-domain synergy, importance measure-based malicious attack model is proposed to reflect the intensive dynamics and high uncertainties under modern combat environment. Then, cascading failure analysis based on load-capacity model is conducted, which provides a load redistribution method considering cross-domain synergy. Finally, a case study is given for demonstration and verification, where the number of kill chains and load entropy are adopted as performance indicators.
{"title":"Performance-Based Cascading Failure Analysis of Cross-Domain Unmanned Combat System Considering Logistic Support","authors":"Tianwen Zhang;Guanghan Bai;Yunxiao Lv;Shuai Zhang;Junyong Tao","doi":"10.1109/JSYST.2024.3476167","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3476167","url":null,"abstract":"Failure modeling and analysis are essential to the reliable and safe operation of unmanned combat system, which ultimately influence the success of a mission. Previous studies mainly focus on failure modeling and analysis of unmanned systems in a single domain, where synergy of cross-domain unmanned combat has rarely been considered. In this study, a multilayered heterogeneous network model for cross-domain unmanned combat system has been developed. In addition, the logistic support, which is another key aspect of any combat is incorporated. Given the interdependencies among the layers considering logistic support and cross-domain synergy, importance measure-based malicious attack model is proposed to reflect the intensive dynamics and high uncertainties under modern combat environment. Then, cascading failure analysis based on load-capacity model is conducted, which provides a load redistribution method considering cross-domain synergy. Finally, a case study is given for demonstration and verification, where the number of kill chains and load entropy are adopted as performance indicators.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"2109-2120"},"PeriodicalIF":4.0,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-19DOI: 10.1109/JSYST.2024.3490536
Lihua Liu
We show that the authentication protocol (Ma and Cheng [10]) fails to keep user anonymity, not as claimed. We suggest a method to fix it. Besides, we find there is a flawed equality, in which some terms are inaccessible to the user. This flaw results in the failure for the user to finish his computations. We also suggest a method to fix this mistake.
{"title":"A Note on “An Anonymous and Certificateless Identity Authentication Protocol for Mobile Edge Computing”","authors":"Lihua Liu","doi":"10.1109/JSYST.2024.3490536","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3490536","url":null,"abstract":"We show that the authentication protocol (Ma and Cheng [10]) fails to keep user anonymity, not as claimed. We suggest a method to fix it. Besides, we find there is a flawed equality, in which some terms are inaccessible to the user. This flaw results in the failure for the user to finish his computations. We also suggest a method to fix this mistake.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"2169-2172"},"PeriodicalIF":4.0,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-18DOI: 10.1109/JSYST.2024.3488968
Xingyu Gao;Chen Chen;Zhengrong Xiang
This article addresses the leader-following consensus problem for a class of nonlinear multiagent systems under the event-triggered mechanism. Prior to control design, the topology hierarchical decomposition method is employed to simplify and layer the system topology, thereby reducing the complexity of topology and the communication burden of each agent. For each agent, a novel distributed observer is proposed under the event-triggered mechanism to estimate other agents' states, eliminating the necessity for real-time information from other agents. In addition, the hybrid dynamic event-triggered mechanism is developed, which can reduce the frequency of communication between agents. Furthermore, a leader-following consensus protocol is constructed under the proposed event-triggered mechanism to ensure that all followers will track the trajectory of the leader. Moreover, the protocol is updated discontinuously, reducing computation costs for the systems. An example is provided to verify the effectiveness of the proposed control algorithm.
{"title":"Consensus for Nonlinear Multiagent Systems via Hybrid Event-Triggered Mechanism","authors":"Xingyu Gao;Chen Chen;Zhengrong Xiang","doi":"10.1109/JSYST.2024.3488968","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3488968","url":null,"abstract":"This article addresses the leader-following consensus problem for a class of nonlinear multiagent systems under the event-triggered mechanism. Prior to control design, the topology hierarchical decomposition method is employed to simplify and layer the system topology, thereby reducing the complexity of topology and the communication burden of each agent. For each agent, a novel distributed observer is proposed under the event-triggered mechanism to estimate other agents' states, eliminating the necessity for real-time information from other agents. In addition, the hybrid dynamic event-triggered mechanism is developed, which can reduce the frequency of communication between agents. Furthermore, a leader-following consensus protocol is constructed under the proposed event-triggered mechanism to ensure that all followers will track the trajectory of the leader. Moreover, the protocol is updated discontinuously, reducing computation costs for the systems. An example is provided to verify the effectiveness of the proposed control algorithm.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"2022-2029"},"PeriodicalIF":4.0,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-18DOI: 10.1109/JSYST.2024.3481653
Yan Li;Yaodong Ge;Ying Zhao;Tianqi Xu;Marwen Abdennebi;Mengmeng Zhu
A typical modern power system is a multilayer network consisting of a power network coupled with a communication network, namely, a cyber–physical power system (CPPS). Some previous research methods that were applicable to single-layer networks (such as power networks) are not applicable to current CPPSs. In this article, we first establish an importance evaluation model for the lines in the power network and the nodes in the communication network of a CPPS. Then, the key nodes and lines in the CPPS are evaluated from three perspectives: network information, network properties, and network structure. Two algorithms are proposed, from network information and network property perspectives. Ten indicators are also formulated from a network structure perspective. Finally, the results of analyzing the correlations between indicators under these three perspectives using Kendall's tau-b show that the important lines and nodes in the different networks are different and that the most effective method of importance evaluation is based on information fusion from the network information perspective. The results also show that the research significance of investigating CPPS network node importance based on a Barabási–Albert communication network is greater than that of analyses based on Watts–Strogatz and Erdös–Rényi networks. The results can provide a good understanding of the operating status of a power system to help reduce the probability of system faults, thereby providing support for future intelligent and autonomous power systems.
{"title":"Methods for Evaluating Critical Lines and Nodes in Cyber–Physical Power Systems From Three Network Perspectives","authors":"Yan Li;Yaodong Ge;Ying Zhao;Tianqi Xu;Marwen Abdennebi;Mengmeng Zhu","doi":"10.1109/JSYST.2024.3481653","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3481653","url":null,"abstract":"A typical modern power system is a multilayer network consisting of a power network coupled with a communication network, namely, a cyber–physical power system (CPPS). Some previous research methods that were applicable to single-layer networks (such as power networks) are not applicable to current CPPSs. In this article, we first establish an importance evaluation model for the lines in the power network and the nodes in the communication network of a CPPS. Then, the key nodes and lines in the CPPS are evaluated from three perspectives: network information, network properties, and network structure. Two algorithms are proposed, from network information and network property perspectives. Ten indicators are also formulated from a network structure perspective. Finally, the results of analyzing the correlations between indicators under these three perspectives using Kendall's tau-b show that the important lines and nodes in the different networks are different and that the most effective method of importance evaluation is based on information fusion from the network information perspective. The results also show that the research significance of investigating CPPS network node importance based on a Barabási–Albert communication network is greater than that of analyses based on Watts–Strogatz and Erdös–Rényi networks. The results can provide a good understanding of the operating status of a power system to help reduce the probability of system faults, thereby providing support for future intelligent and autonomous power systems.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"1987-1998"},"PeriodicalIF":4.0,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-14DOI: 10.1109/JSYST.2024.3459596
Yanhong Jing;Lan Shen;Chunlong Yao;Fenglong Fan;Xing Wang
The objective of virtual machine placement in cloud data centers is to optimize resource allocation, which directly impacts the adherence to service level agreements (SLAs). Existing virtual machine placement strategies have achieved some success in reducing SLA violations through various approaches such as load balancing and minimizing host overloads. However, SLA compliance is influenced by multiple factors. Based on heuristic principles, this article fully considers various factors affecting SLA violations and proposes the HLEM-VMP virtual machine placement strategy. This strategy employs a greedy method to determine the placement of virtual machines by filtering and scoring physical hosts. We conducted comprehensive comparative experiments using the Cloudsim simulator with Planetlab and random workloads against classical algorithms such as EPSO, AFED-EF, and HS3MC-3MIN-1.5. The results show that HLEM-VMP not only significantly reduces SLA violations but also performs excellently on the combined index ESV. Building on this, we further propose the General-HLEM (G-HLEM) model, which allows for a tradeoff between energy consumption and SLA violations, thereby enhancing the model's generalizability. Experiments in three typical application scenarios demonstrate that G-HLEM can meet the needs of different scenarios and outperforms methods like EPSO, AFED-EF, and HS3MC-3MIN-1.5 on the ESV index, providing valuable insights for addressing SLA violation issues through virtual machine placement strategies.
{"title":"HLEM-VMP: An Effective Virtual Machine Placement Algorithm for Minimizing SLA Violations in Cloud Data Centers","authors":"Yanhong Jing;Lan Shen;Chunlong Yao;Fenglong Fan;Xing Wang","doi":"10.1109/JSYST.2024.3459596","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3459596","url":null,"abstract":"The objective of virtual machine placement in cloud data centers is to optimize resource allocation, which directly impacts the adherence to service level agreements (SLAs). Existing virtual machine placement strategies have achieved some success in reducing SLA violations through various approaches such as load balancing and minimizing host overloads. However, SLA compliance is influenced by multiple factors. Based on heuristic principles, this article fully considers various factors affecting SLA violations and proposes the HLEM-VMP virtual machine placement strategy. This strategy employs a greedy method to determine the placement of virtual machines by filtering and scoring physical hosts. We conducted comprehensive comparative experiments using the Cloudsim simulator with Planetlab and random workloads against classical algorithms such as EPSO, AFED-EF, and HS3MC-3MIN-1.5. The results show that HLEM-VMP not only significantly reduces SLA violations but also performs excellently on the combined index ESV. Building on this, we further propose the General-HLEM (G-HLEM) model, which allows for a tradeoff between energy consumption and SLA violations, thereby enhancing the model's generalizability. Experiments in three typical application scenarios demonstrate that G-HLEM can meet the needs of different scenarios and outperforms methods like EPSO, AFED-EF, and HS3MC-3MIN-1.5 on the ESV index, providing valuable insights for addressing SLA violation issues through virtual machine placement strategies.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"1963-1974"},"PeriodicalIF":4.0,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-13DOI: 10.1109/JSYST.2024.3474090
Mahdi Nozarian;Alireza Fereidunian;Masoud Barati
This article premises the notion of portraying a smart city energy infrastructure (SCEI) from a people-centric bottom-up view. This is concluded by a system of systems approach in which the coordinated collections of autonomous microenergy hubs construct macroenergy hubs as SCEI in a decentralized manner. Moreover, a reliability-oriented framework is introduced, complying with the performance requirement of customer satisfaction from the people-centric view. Since electric energy as a unique commodity is traded within a continuously operated system, reliability becomes an objective from the start of the planning process (i.e., reliability-oriented planning) while still achieving the performance (technical and quality) requirements demanded nowadays. Hence, the proposed reliability-oriented framework tends to improve customer interruption cost and cost of energy not supplied in the objective function, as well as the Electrical energy index of reliability (EEIR) and system average interruption frequency index as indices for both heat and electrical loads. In the proposed framework, all constituent systems collaborate to create a more functional and reliable SCEI, while each independent system intends to increase its benefit. Furthermore, the proposed framework is formulated as a bilevel mixed-integer linear programming planning problem. This bilevel formulation suffers from nonconvexity in its lower level problem. Therefore, it is transformed into a single-level problem through binary constraint relaxation and primal–dual reformulation. The effectiveness of the proposed model is demonstrated by implementing it to the Dättwil district (Switzerland) as a real urban case study system. Simulation results confirm the effectiveness of the proposed approach due to considerable improvement in reliability performance (5.2% in EEIR, 95% in electrical system average interruption frequency index, 0.1% in heat energy index of reliability (HEIR), and 56% in heat system average interruption frequency index), SCEI-to-grid performance (81% in export to import ratio), and sustainability performance (77.8% in emission and 4.8% in energy loss).
{"title":"A System of Systems Approach to Reliability-Oriented Planning of People-Centric Smart City Energy Infrastructure: A Bilevel MILP Formulation","authors":"Mahdi Nozarian;Alireza Fereidunian;Masoud Barati","doi":"10.1109/JSYST.2024.3474090","DOIUrl":"https://doi.org/10.1109/JSYST.2024.3474090","url":null,"abstract":"This article premises the notion of portraying a smart city energy infrastructure (SCEI) from a people-centric bottom-up view. This is concluded by a system of systems approach in which the coordinated collections of autonomous microenergy hubs construct macroenergy hubs as SCEI in a decentralized manner. Moreover, a reliability-oriented framework is introduced, complying with the performance requirement of customer satisfaction from the people-centric view. Since electric energy as a unique commodity is traded within a continuously operated system, reliability becomes an objective from the start of the planning process (i.e., reliability-oriented planning) while still achieving the performance (technical and quality) requirements demanded nowadays. Hence, the proposed reliability-oriented framework tends to improve customer interruption cost and cost of energy not supplied in the objective function, as well as the Electrical energy index of reliability (EEIR) and system average interruption frequency index as indices for both heat and electrical loads. In the proposed framework, all constituent systems collaborate to create a more functional and reliable SCEI, while each independent system intends to increase its benefit. Furthermore, the proposed framework is formulated as a bilevel mixed-integer linear programming planning problem. This bilevel formulation suffers from nonconvexity in its lower level problem. Therefore, it is transformed into a single-level problem through binary constraint relaxation and primal–dual reformulation. The effectiveness of the proposed model is demonstrated by implementing it to the Dättwil district (Switzerland) as a real urban case study system. Simulation results confirm the effectiveness of the proposed approach due to considerable improvement in reliability performance (5.2% in EEIR, 95% in electrical system average interruption frequency index, 0.1% in heat energy index of reliability (HEIR), and 56% in heat system average interruption frequency index), SCEI-to-grid performance (81% in export to import ratio), and sustainability performance (77.8% in emission and 4.8% in energy loss).","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"2085-2096"},"PeriodicalIF":4.0,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：