Orchestration in the Cloud-to-Things Compute Continuum: Taxonomy, Survey and Future Directions

IoT systems are becoming an essential part of our environment. Smart cities, smart manufacturing, augmented reality, and self-driving cars are just some examples of the wide range of domains, where the applicability of such systems has been increasing rapidly. These IoT use cases often require simultaneous access to geographically distributed arrays of sensors, and heterogeneous remote, local as well as multi-cloud computational resources. This gives birth to the extended Cloud-to-Things computing paradigm. The emergence of this new paradigm raised the quintessential need to extend the orchestration requirements i.e., the automated deployment and run-time management) of applications from the centralised cloud-only environment to the entire spectrum of resources in the Cloud-to-Things continuum. In order to cope with this requirement, in the last few years, there has been a lot of attention to the development of orchestration systems in both industry and academic environments. This paper is an attempt to gather the research conducted in the orchestration for the Cloud-to-Things continuum landscape and to propose a detailed taxonomy, which is then used to critically review the landscape of existing research work. We finally discuss the key challenges that require further attention and also present a conceptual framework based on the conducted analysis.Comment: Journal of Cloud Computing Pages: 2

Orchestration in the Cloud-to-Things compute continuum: taxonomy, survey and future directions

IoT systems are becoming an essential part of our environment. Smart cities, smart manufacturing, augmented reality, and self-driving cars are just some examples of the wide range of domains, where the applicability of such systems have been increasing rapidly. These IoT use cases often require simultaneous access to geographically distributed arrays of sensors, heterogeneous remote, local as well as multi-cloud computational resources. This gives birth to the extended Cloud-to-Things computing paradigm. The emergence of this new paradigm raised the quintessential need to extend the orchestration requirements (i.e., the automated deployment and run-time management) of applications from the centralised cloud-only environment to the entire spectrum of resources in the Cloud-to-Things continuum. In order to cope with this requirement, in the last few years, there has been a lot of attention to the development of orchestration systems in both industry and academic environments. This paper is an attempt to gather the research conducted in the orchestration for the Cloud-to-Things continuum landscape and to propose a detailed taxonomy, which is then used to critically review the landscape of existing research work. We finally discuss the key challenges that require further attention and also present a conceptual framework based on the conducted analysis

Performance Evaluation of Distributed Self-Stabilizing Dominating Set Algorithms in Wireless Sensor Networks

5th International Conference on Electrical and Electronics Engineering (ICEEE) -- MAY 03-05, 2018 -- Istanbul, TURKEYWOS: 000454450100086Finding a minimal dominating set (MDS) is a popular problem in wireless sensor networks (WSNs) to provide routing and backbone formation. A self-stabilizing system can tolerate topological changes such as node and edge joining/leaving thus they are very suitable for fault-tolerant and reliable WSNs. In this paper, we provide an extensive performance evaluation of self-stabilizing MDS algorithms for WSNs. To the best of our knowledge, this is the first experimental evaluation study of self-stabilizing MDS algorithms applied in WSN domain. We implemented the algorithms on various node counts and densities, and compared the average energy consumption, wall-clock time, move count and dominator count of the algorithms. The comprehensive simulation results show that the Goddard's algorithm finds the MDS with about 8.8% lower move and 5.8% lower dominator node count while its theoretical move count bound is higher than Chiu's algorithm. Despite of lower move count, the simulation results shows that the energy consumption of Goddard's algorithm is up to 1.5 times higher than Turau's and 2.8 times higher than Chiu's algorithms. The wallclock time, move count and detected dominator count of Turau's algorithm are respectively 84%, 88% and 12% higher than Goddard's algorithm in the networks with 1500 nodes which confirms its 9n move count bound. These measurements reveal that Goddard's algorithm outperforms other algorithms in terms of dominator count and Chiu's algorithm has a better performance for other metrics.IEEETUBITAK (Scientific and Technical Research Council of Turkey)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [215E115]The authors would like to thank the TUBITAK (Scientific and Technical Research Council of Turkey) for financial support of the project 215E115 which this work belongs to it

ANALYSIS OF INTEGRATED DEVELOPMENT ENVIRONMENTS FOR J2EE APPLICATIONS

The development of component based software applications is dependent on tools and environments that support the design and deployment of software components. In this paper a selection of Integrated Development Environments (IDE) for creating J2EE applications have been analyzed and the assessment criteria for their efficient use have been proposed. The purpose of this work is to make a correct choice of the IDEs, which facilitates the delivery of software development modules within the information systems curriculum of a university environment

Perioperative Complications of Urogynecologic Surgery: Our Experience in a Tertiary Care Hospital

Objective: The aim of this study was to determine the incidence of perioperative complications in women who undergo urogynecologic surgery. Study Design: A retrospective chart review of patients who underwent urogynecologic surgery between January 2014 and January 2016 was performed. The type of surgeries and significant perioperative complications were recorded. Intraoperative complications included, injury of nerves, bowel, bladder or ureter, intraoperative blood transfusion, conversion to laparotomy and anesthesia-related events. Results: The sample included 120 consecutive women who underwent urogynecological surgeries. The mean age of the patients was 53 (range, 34-88 years). 46% of the patients had one or more of medical problems. 55% percent of the patients had previously undergone a pelvic surgery. 70% of the patients had surgeries by vaginal approach, 10% of them had by abdominal approach and 20% of them had surgeries by laparoscopic approach. The prevalence of complications was 27.5%. This included 11 intraoperative complications (6 cases bladder injury, 2 cases transfusion) and 21 postoperative complications. Conclusion: In conclusion, the number of women undergoing surgery for pelvic organ prolapse, urinary incontinence, and anal incontinence continues to increase, the present study provides useful statistical data for our country

A Preterm Birth Caused By Postoperative Peritonitis and Peritoneal Abscess

Appendicitis is the most common condition leading to an intraabdominal operation for a non obstetric problem in pregnancy and diagnosis of appendicitis is complicated by the physiologic and anatomic changes that occur during pregnancy. Although a surgical procedure carries the risk of fetal loss or preterm delivery, delay in diagnosis also increases the risk of complications in both mother and fetus. The following case illustrates our experience and to analyze clinical characteristic and the pregnancy outcome of appendicitis during the third trimester of pregnancy. [Cukurova Med J 2013; 38(4.000): 751-753

Ovarian Ectopic Pregnancy: Association with Intrauterine Contraceptive Device

Primary ovarian pregnancy is a rare entity. The association between ovarian pregnancy and intrauterine device use is not clear. In this paper we reported three patients with ovarian pregnancy and using intrauterine device with a brief review of the literature. [Cukurova Med J 2013; 38(3.000): 520-524

Investigation of knowledge level about intrauterine device

Objective: To investigate a level of knowledge about intrauterine device between females who were examined in our gynecology department. Metods: The study was conducted at Gynecology and Obstetric Department of Bakirkoy Dr. Sadi Konuk Teaching and Research Hospital between August 2012-November 2012. The study were included 189 patients who accepted to participate. For collecting data; a form of questionnaire was used which has gived information about the intrauterine device (IUD) and status of socio-demographic characteristics of the patients. The questionnaire were administered by the researchers in a separate room as a face-to-face interviews. SPSS 20.0 (SPSS Inc, Chicago, IL, USA) program was used for statistical analysis. Results: The mean age of the women in the study was 31.1 ± 9.9. 44.7% of women were not using any modern contraceptive method. IUD utilization rate was 3.2%. 1.6% of women had never heard IUD, %76.1 women heard copper IUD. 42% of respondents gave the wrong answer to IUD inserted into ovaries. Conclusion: The IUD which is a cheap, does not require patient compliance, and has high efficacy. In this study, we were not found a statisfically significant difference for answers to questions in patients with different socio-demographic characteristics. The main result of the study was; among all parcipitians ,even health care workers there was an important disability about level of knowledge for IUD. It is great importance the whole society, including health professionals must train about family planning. [Cukurova Med J 2013; 38(3.000): 440-445