The growth of Internet and other web technologies requires the development of new algorithms and architectures for parallel and distributed computing. International journal of Distributed and parallel systems is a bi monthly open access peer-reviewed journal aims to publish high quality scientific papers arising from original research and development from the international community in the areas of parallel and distributed systems. IJDPS serves as a platform for engineers and researchers to present new ideas and system technology, with an interactive and friendly, but strongly professional atmosphere.

1. Trends in Heterogeneous Computing
in 2020
International Journal of Distributed and Parallel
systems (IJDPS)
ISSN : 0976 - 9757 [Online] ; 2229 - 3957 [Print]
http://airccse.org/journal/ijdps/ijdps.html

2. Real-Time Adaptive Energy-Scheduling Algorithm for
Virtualized Cloud Computing
D B Srinivas1
, H K Krishnappa2
, Rajan M A3
, Sujay N. Hegde4
1,4
Nitte Meenakshi Institute of Technology, Bangalore, India
2
R V College of Engineering, Bangalore, India
3
TCS Research and Innovation, Bangalore, India
ABSTRACT
Cloud computing becomes an ideal computing paradigm for scientific and commercial applications. The
increased availability of the cloud models and allied developing models creates easier computing cloud
environment. Energy consumption and effective energy management are the two important challenges in
virtualized computing platforms. Energy consumption can be minimized by allocating computationally
intensive tasks to a resource at a suitable frequency. An optimal Dynamic Voltage and Frequency Scaling
(DVFS) based strategy of task allocation can minimize the overall consumption of energy and meet the
required QoS. However, they do not control the internal and external switching to server frequencies,
which causes the degradation of performance. In this paper, we propose the Real Time Adaptive
EnergyScheduling (RTAES) algorithm by manipulating the reconfiguring proficiency of Cloud
ComputingVirtualized Data Centers (CCVDCs) for computationally intensive applications. The RTAES
algorithm minimizes consumption of energy and time during computation, reconfiguration and
communication. Our proposed model confirms the effectiveness of its implementation, scalability, power
consumption and execution time with respect to other existing approaches.
KEYWORDS
Virtual Machine (VM); Virtualized Data Centers (VDCs); Quality of Service (QoS); Dynamic Voltage
and Frequency Scaling (DVFS); Real Time Adaptive Energy-Scheduling (RTAES).
Full Text : http://aircconline.com/ijdps/V10N1/10119ijdps01.pdf

3. REFERENCES
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5. Advanced Diffusion Approach to Dynamic Load-
Balancing for Cloud Storage
Eman Daraghmi1
and Yousef-Awwad Daraghmi2
1
Department of Applied Computing, Palestine Technical University Kadoori (PTUK),
Tulkarm, Palestine
2
Department of Computer Systems Engineering, Palestine Technical University Kadoori
(PTUK), Tulkarm, Palestine
ABSTRACT
Load-balancing techniques have become a critical function in cloud storage systems that consist of
complex heterogeneous networks of nodes with different capacities. However, the convergence rate of
any load-balancing algorithm as well as its performance deteriorated as the number of nodes in the
system, the diameter of the network and the communication overhead increased. Therefore, this paper
presents an approach aims at scaling the system out not up - in other words, allowing the system to be
expanded by adding more nodes without the need to increase the power of each node while at the same
time increasing the overall performance of the system. Also, our proposal aims at improving the
performance by not only considering the parameters that will affect the algorithm performance but also
simplifying the structure of the network that will execute the algorithm. Our proposal was evaluated
through mathematical analysis as well as computer simulations, and it was compared with the centralized
approach and the original diffusion technique. Results show that our solution outperforms them in terms
of throughput and response time. Finally, we proved that our proposal converges to the state of
equilibrium where the loads in all in-domain nodes are the same since each node receives an amount of
load proportional to its capacity. Therefore, we conclude that this approach would have an advantage of
being fair, simple and no node is privileged.
KEYWORDS
Load balancing, cloud storage, Heterogeneous, Simulation, Task assignment
Full Text : http://aircconline.com/ijdps/V10N3/10319ijdps01.pdf

6. REFERENCES
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7. Design and Analysis of Secure Smart Home for Elderly
People
Mayada Elsaid, Sara Altuwaijri, Nouf Aljammaz and Anees Ara
Computer Science Department, College of Computer & Information Sciences,
Prince Sultan University, Riyadh, Saudi Arabia
ABSTRACT
Internet of Things (IoT) technology is used to enhance the safety of the elderly living in smart home environments
and to help their caregivers. The daily behaviour of the elderly people is collected using IoT sensors and then
evaluated to detect any abnormal behaviour. This research paper analyzes the smart home based anomaly detection
system from a security perspective, to answer the question whether it is reliable and secure enough to leave elderly
people alone in their smart homes. In this direction comparative analysis of literature is done to identify the
potential security breaches on all layers of an IoT device. Further, this paper proposes a secure smart home model,
built using Cisco Packet Tracer to simulate a network of IoT devices in a smart home environment. Consequently, a
list of security countermeasures is proposed to protect the IoT devices from the identified attacks. .
KEYWORDS
Cyber physical systems, anomaly detection system, intrusion detection system, secure smart home, IoT.
Full Text : http://aircconline.com/ijdps/V10N6/10619ijdps01.pdf

8. REFERENCES
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9. AUTHORS BIOGRAPHY
Mayada Elsaid is a senior Software Engineering ( Cyber Security) student in Prince Sultan University. She is an
IEEE member and chair in IEEE-Student Chapter. Her areas of interest and research are cyber physical systems
security and IoT. She has presented security and business process management papers in local conferences and
research forums.
Sara Altuwaijri is a bachelor student, majoring in Software Engineering (Cyber Security) at Prince Sultan
University. She’s currently leading two clubs in the university by arranging events and bootcamps that are related to
many topics of computer science. She’s the president of Edtech club and the Vice Chair if IEEE chapter at PSU.
She received nano degrees in Artificial Intelligence and Self-driving cars. Her research interests include security &
privacy in IoT and cyber physical systems.
Nouf Aljammaz is a senior Computer Science (Cyber Security) student focused on improving facility security
through diligent approach and sense of personal responsibility. Resilient individual trained in security. Her research
interest includes security domains related to risks management, optimization techniques relates to asset protection
and threat minimizations.
Anees Ara received her BSc in Computer Science and MSc in Mathematics with Computer Science from Osmania
University, India in 2005 and 2007 respectively. She has received her PhD degree from King Saud University and
she is currently working as Assistant Professor at College of Computer and Information Sciences, Prince Sultan
University, Kingdom of Saudi Arabia. She is an active member of Security Engineering Lab, Prince Sultan
University, KSA and IEEE, computing society. In addition, she is an active reviewer of international journals. Her
research interests are broadly divided into privacy and security, which are related to cloud computing, cryptograph,
smart environment, cyber physical systems and big data.