ﺗﻮﺳﻌﻪ زﯾﺮﺳﺎﺧﺖ اﺑﺮي آﮔﺎه از ﮐﺎراﺋﯽ در ﺳﯿﺴﺘﻢﻫﺎي آﻣﻮزش اﻟﮑﺘﺮوﻧﯿﮏ

Developing a performance-aware cloud infrastructure in e-learning system

ﭼﮑﯿﺪه: اﺳﺎﺳﺎً اﺷﺘﺮاك ﻣﻨﺎﺑﻊ و ﭘﻮﯾﺎﺋﯽ ﺑﺎرﻫﺎي ﮐﺎري در ﺳﯿﺴﺘﻢﻫﺎي آﻣﻮزش اﻟﮑﺘﺮوﻧﯿﮏ ﻣﻮﺟﺐ رﻗﺎﺑﺖ ﺑﯿﻦ ﮐﺎرﺑﺮان و اﻓﺖ ﮐﺎراﺋﯽ ﻣﯽﮔﺮدد. وﺟﻮد ﻧﻮﺳﺎﻧﺎت ﮐﺎراﺋﯽ و اﻓﺖ ﮐﯿﻔﯿﺖ ﺧﺪﻣﺖ در ﭼﻨﯿﻦ ﻣﺤﯿﻂﻫﺎﺋﯽ ﺗﻬﺪﯾﺪ ﮐﻨﻨﺪه راﻧﺪﻣﺎن ﮐﺎري و اﺟﺮاي ﺻﺤﯿﺢ ﺧﺪﻣﺎت ﻣﺮﺗﺒﻂ و اراﺋﻪ ﮐﺎرﮐﺮد ﻣﺠﺘﻤﻊ ﻣﯽﺑﺎﺷﺪ. آﮔﺎﻫﯽ از ﮐﺎراﺋﯽ ﺑﻪ ﻋﻨﻮان ﯾﮏ راﻫﮑﺎر ﮐﻠﯿﺪي ﻗﺎدر اﺳﺖ ﺑﺎرﻫﺎي ﮐﺎري را از ﺗﺎﺛﯿﺮات ﻣﻨﻔﯽ ﯾﮑﺪﯾﮕﺮ ﻣﺤﺎﻓﻈﺖ ﻧﻤﺎﯾﺪ. درﺣﺎل ﺣﺎﺿﺮ ﻓﻘﺪان ﭼﻨﯿﻦ زﯾﺮﺳﺎﺧﺘﯽ ﻣﻮﺟﺐ ﻧﻮﺳﺎﻧﺎت ﮐﺎراﺋﯽ و ﮐﯿﻔﯿﺖ ﺧﺪﻣﺎت ﻧﺎﻣﻄﻠﻮب در اﯾﻦ ﺳﯿﺴﺘﻢﻫﺎ ﻣﯽﮔﺮدد. ﻫﺪف ﭘﮋوﻫﺶ ﺣﺎﺿﺮ ﮔﺎم ﺑﺮداﺷﺘﻦ درﺟﻬﺖ ﺟﺒﺮان ﻧﻮاﻗﺺ ﻣﺬﮐﻮر و از ﻣﻬﻢﺗﺮﯾﻦ دﺳﺘﺎوردﻫﺎي آن ﺗﻮﺳﻌﻪ زﯾﺮﺳﺎﺧﺖ اﺑﺮي آﮔﺎه از ﮐﺎراﺋﯽ در ﺳﯿﺴﺘﻢﻫﺎي آﻣﻮزش اﻟﮑﺘﺮوﻧﯿﮏ ﻣﯽﺑﺎﺷﺪ. زﯾﺮﺳﺎﺧﺖ ﭘﯿﺸﻨﻬﺎدي ﺑﺮﺧﻼف دﯾﺪﮔﺎهﻫﺎي ﻣﻮﺟﻮد، ﺑﻪ ﻣﮑﺎﻧﯿﺰم اﺟﺮاﺋﯽ ﺧﺎﺻﯽ واﺑﺴﺘﻪ ﻧﻤﯽﺑﺎﺷﺪ و ﻣﺴﺘﻘﻞ از ﺳﻄﺢ ﺧﺪﻣﺖ و ﮐﻨﺶﮔﺮﻫﺎ، ﮐﺎراﺋﯽ را در ﮐﻞ ﭘﺸﺘﻪ اﺑﺮ ﺑﻪﺻﻮرت ﯾﮑﭙﺎرﭼﻪ و ﭘﻮﯾﺎ ﭘﺎﯾﺶ ﻣﯽﻧﻤﺎﯾﺪ. ﻧﺘﺎﯾﺞ ﭘﯿﺎدهﺳﺎزيﻫﺎ و ارزﯾﺎﺑﯽ ﺳﻨﺎرﯾﻮﻫﺎي ﻣﺨﺘﻠﻒ ﻣﺒﯿﻦ ﺑﺮﺗﺮي زﯾﺮﺳﺎﺧﺖ ﭘﯿﺸﻨﻬﺎدي و ﺑﻬﺒﻮد ﻣﻌﯿﺎرﻫﺎي ﮐﺎراﺋﯽ ﻣﻬﻤﯽ ﻣﺎﻧﻨﺪ زﻣﺎن ﭘﺎﺳﺦ ﺳﯿﺴﺘﻢ، ﮔﺬردﻫﯽ و ﺑﻬﺒﻮد ﻣﺼﺮف ﻣﻨﺎﺑﻊ ﺳﯿﺴﺘﻤﯽ ﻣﺎﻧﻨﺪ واﺣﺪ ﭘﺮدازﺷﮕﺮ ﻣﯽﺑﺎﺷﺪ.

Essentially resource sharing and dynamic workloads in recent e-learning systems causes resource contention between users and performance loss in these systems. Existence of these efficiency fluctuations and loss of service quality in such environments threatens the performance of applications and proper implementation of related services and the provision of the integrated functions. Performance awareness as a key solution is able to protect workloads from the negative impacts. The lack of such infrastructure is currently causing the performance fluctuations and poor service quality in such systems. The purpose of the present study is to take steps to compensate such deficiencies and the most important achievements is to develop a performance-aware cloud infrastructure for e-learning systems. The proposed cloud infrastructure is not dependent on specific execution mechanism and contrary to existing viewpoints, is independent from the service level and actors, supervises the performance across the whole cloud computing stack, dynamically. The results of implementation and evaluation of different implementation scenarios illustrate the superiority of the proposed infrastructure and the improvement in related performance criteria.