Refine
Document Type
- Article (4)
Language
- English (4)
Has Fulltext
- yes (4)
Is part of the Bibliography
- no (4)
Institute
THE RECENT EVOLUTION OF SMART CONTRACTS AND THEIR FAST ADOPTION ALLOW TO RETHINK PROCESSES AND TO CHALLENGE TRADITIONAL STRUCTURES. THEREFORE, WE INTRODUCE THE UNDERLYING TECHNOLOGY AND RECENT IMPROVEMENTS. FURTHER, WE PROVIDE AN OVERVIEW OF HOW THE INSURANCE SECTOR MAY BE AFFECTED BY BLOCKCHAIN TECHNOLOGY AND SMART CONTRACTS. WE SHOW AN EXEMPLARY USE CASE AND EMPHASIZE CURRENT CHALLENGES AND LIMITATIONS IN THIS AREA.
IN COMPARISON TO TRADITIONAL IT PARADIGMS, CLOUD COMPUTING ENABLES TO OBTAIN DESIRED COMPUTING RESOURCES ON-DEMAND WITHOUT REQUIRING LARGE, UPFRONT INVESTMENTS AND TO DYNAMICALLY ADAPT AND SCALE THESE RESOURCES TO VARYING BUSINESS REQUIREMENTS. HOWEVER, CLOUD COMPUTING IS NOT A PANACEA. THIS DRIVES THE NEED TO EXAMINE THE SPECIFIC REASONS AND REQUIREMENTS FOR CLOUD ADOPTION IN PRACTICE. HERE, WE FOLLOW AN ANALYTICAL APPROACH TO EXAMINE CLOUD ADOPTION BY CONDUCTING A LITERATURE SURVEY AND AN EMPIRICAL STUDY.
THE BLOCKCHAIN TECHNOLOGY ENABLES ENTITIES TO QUERY AND ALTER INFORMATION WITHOUT TRUSTING A MIDDLE PARTY WHILE PROVIDING A SECURE DATA STORAGE IN A DECENTRALIZED MANNER. WE FOCUS ON AN IT DATA SUPPLY CHAIN SCENARIO WHERE MULTIPLE ACTORS NEGOTIATE A TENANCY AGREEMENT FOR VIRTUALIZED NETWORK RESOURCES. WE PRESENT OUR APPROACH, A BROKERLESS BLOCKCHAIN-BASED SYSTEM THAT USES SMART CONTRACTS AND A VIRTUAL NETWORK PARTITIONING ALGORITHM. WITH THIS APPROACH WE CAN OVERCOME THE INFORMATION DISCLOSER PROBLEM IN THIS SCENARIO.
THE GROWING DEMAND FOR DIFFERENTIATED QUALITY OF SERVICE REQUIREMENTS OF VARIOUS MOBILE APPLICATIONS ESTABLISHES THE NEED FOR ELASTIC CLOUDLET RE SOURCE ALLOCATIONS. HERE, WE CONSIDER THE DYNAMIC OPTIMIZATION OF RESOURCE ALLOCATIONS IN REMOTE, AS WELL AS EDGE CLOUD INFRASTRUCTURES. WE CONSIDER TIME VARYING APPLICATION DEMANDS AND OPTIMIZE THE CLOUDLET RESOURCE ALLOCATION OVER A FINITE TIME HORIZON SHOWING THAT THE CORRESPONDING COMPUTATIONAL EFFORT IS REDUCED BY THREE ORDERS OF MAGNITUDE.
